#selfdrivingcar

[papasmithcustom]

Foxconn finds EVs are harder to build than iPhones - Autoblog Over the past decade, Foxconn has built Apple iPhones. So far, though, trucks, tractors and cars are turning out to be a tougher slog than gadgets. https://www.autoblog.com/2023/03/18/foxconn-lordstown-evs-hard-to-build/ #tesla #electriccars #electriccar #evs #ev #fullselfdriving #autonomous #autonomousdriving #autonomy #selfdriving #selfdrivingcar #selfdrivingcars #fsd #drivercars #goforadrive #driverscar #nocontrol #manualgearbox #savethemanuals #teslafanboys #teslafanbois #teslafanboy #teslafanboi #evfanatics #evfanatic #evfanatical #autonomousdrive #onetrickpony #noskillrequired (at Papa Smith Custom) https://www.instagram.com/p/CqBgbz_vFmB/?igshid=NGJjMDIxMWI=

[ilearnedthistodaysblog]

#1167 How do driverless cars navigate a city?

How do driverless cars navigate a city? Driverless cars use a whole mix of software and sensors to navigate through a city. They use Lidar, radar, cameras, and self-learning algorithms. Driverless cars are becoming more common these days, but they always have to have a driver paying attention at the wheel in case something goes wrong. There are 5 levels of automation for cars, 6 if you count no automation as a level. Level 1 has some driver assistance, such as keeping within lanes. Level 2 has partial automation, such as steering on a highway. Level 3 has conditional automation, which means the driver has to take control when the car asks them to. Level 4 has high automation, which means the car can move on its own in most situations, but if it comes to a difficulty and there is no driver to assist, it will just stop. Level 5 is full automation in all situations. This doesn’t exist yet. At some point, cars will become completely autonomous. Currently, Google has test cars that have driven over 1 million km without having any accidents. Actually, that is not completely true. The cars have been involved in plenty of accidents, but almost all of them have been caused by other drivers driving into the driverless cars. There was one incident in 2016 when a Google car hit the side of a bus but Google updated the software and there haven’t been any accidents since then. The Google test car would be a level 4 car. Anyway, we are not going to look at how effective or not driverless cars will be today. I want to learn how they do what they do. Let’s take the Google driverless car as a good example because it has the software and hardware that would be rolled out onto regular cars. The first thing the cars need is excellent map software and GPS. With the Google car, this will come from Google maps. Since Google maps was introduced in 2005, the technology has improved exponentially. Today, it is incredibly detailed and has street information for most cities in most countries around the world. Coupled with that, the GPS satellites that Google has access to can pinpoint the cars location to about 4 m, depending on the surroundings. Tall buildings can block the signal. However, Google maps alone isn’t enough because there are many things in a city that don’t show up on the maps. Driverless cars have to cope with people, other cars, roadworks, animals, cyclists, emergency vehicles, random stuff in the street, weather, and a host of other unexpected things. How do they do this? The second thing a driverless car needs is lots of cameras. Driverless cars have cameras to cover every available viewpoint. These cameras are connected to the car's CPU, but they might also be connected to a service center where somebody can offer assistance. They will also probably record everything that they see. These cameras are high definition, but they are not so much use in the dark or in bad weather. Driverless cars need other systems to cope in these conditions. Driverless cars also use lidar and radar to be able to “see” when the conditions don’t allow their cameras to work properly. Lidar and radar are similar technologies but lidar uses light and radar uses radio waves. Lidar shoots out a laser and detects how long it takes the light to come back. By knowing the amount of time, the onboard CPU can work out the distance to whatever objects are around the car and that are reflecting the light back. Radar is the same, but it calculates the time it takes for a radio wave to come back. Both lidar and radar are useful, but lidar is far faster and more accurate. It can make high-definition 3d images in any weather. The trouble with lidar is that it is very expensive, so a lot of cars will use radar as well. The biggest part of the driverless car system, though, is the onboard computer. The car can have all the sensors in the world, but if the onboard computer can’t tell what they are, it is all worthless. The onboard computer has to be able to not only see everything but also to work out what it is seeing. And then it has to work out how to react to what it has seen. With a lot of things, it is not that complicated, but people and bicycles seem to be proving a difficult problem. They are both unpredictable, but bicycles are also difficult to see. They provide an unusual profile and cars have trouble working out which way they are moving or predicting where they will go. However, Google say that their car is almost 99% perfect at seeing bikes. One of the systems that will be in self driving cars is machine learning algorithms. These systems might not be able to tell what a bicycle is or which way it is going, but they learn with each interaction. Another way of helping them to learn is to use humans as teachers. The human drives and teaches the AI system what to do in certain situations. With each experience, the number of situations that the car will find unpredictable shrink. The last system is one that has not been tested yet. Once there are enough self driving cars on the streets, they would probably all be networked. Once that happens, we will have swarm data because all of the cars will know what all of the other cars are seeing. That will increase their ability to drive. And this is what I learned today. If you liked this, try these: - #391 How does LiDAR help archaeologists? - #117 Could a society without money work? - #347 How did the Polynesians navigate? - #606 Why do cameras have mirrors? - #741 How fast could an electric car go? Sources https://cariad.technology/de/en/news/stories/self-driving-cars-navigation-swarm-data.html https://www.bbc.com/future/article/20211126-how-driverless-cars-will-change-our-world https://www.nytimes.com/interactive/2024/09/03/technology/zoox-self-driving-cars-remote-control.html https://en.wikipedia.org/wiki/Self-driving_car https://www.theguardian.com/cities/2017/jun/14/street-wars-2035-cyclists-driverless-cars-autonomous-vehicles https://www.youtube.com/watch?v=bDOnn0-4Nq8&t=87s https://www.gps.gov/systems/gps/performance/accuracy https://www.oliverwyman.com/our-expertise/insights/2023/jul/lidar-radar-future-of-autonomous-driving-systems.html Image https://www.oliverwyman.com/our-expertise/insights/2023/jul/lidar-radar-future-of-autonomous-driving-systems.html Read the full article

[mahashankh]

Unlocking Limitless Potential: Artificial Intelligence's Path to Success -2nd

Artificial Intelligence: Revolutionizing the Future Introduction Artificial Intelligence (AI) stands as one of the most transformative technologies of the 21st century. It's a field that blends computer science, mathematics, and engineering to create systems that can mimic human intelligence and perform tasks that typically require human cognition. The impact of AI spans across various industries and has the potential to reshape our world profoundly. In this article, we will delve into the fundamental aspects of AI, its history, current applications, ethical considerations, and the future it holds. Virtual Reality Chatbots Virtual Assistant (VA) Smart City Self Driving Car Artificial intelligence (AI) Financial Artificial Intelligence Environmental Artificial Intelligence Artificial general intelligence (AGI) Healthcare AL Ethical Artificial Intelligence Artificial Intelligence safety TOP AL DEVELOPER COUNTRIES TOP ARTIFICIAL INTELLIGENCE DEVELOPER COMPANIES The Evolution of AI The concept of AI dates back to ancient times when Greek myths told tales of automatons, mechanical beings with human-like qualities. However, AI as we know it today has its roots in the mid-20th century. The term "Artificial Intelligence" was coined in 1955 by John McCarthy, who is often referred to as the father of AI. Types of AI AI can be categorized into two main types: - Narrow AI (Weak AI): Narrow AI is designed for a specific task, such as voice assistants like Siri or Alexa, chatbots, and recommendation algorithms on streaming platforms. These systems excel in their specialized functions but lack broader understanding or general intelligence. - General AI (Strong AI): General AI, often depicted in science fiction, refers to machines with human-like cognitive abilities. These systems can understand, learn, and adapt to a wide range of tasks, much like a human being. Achieving General AI remains a significant challenge and goal in the field. AI Applications AI has made significant inroads across various sectors: - Healthcare: AI assists in diagnosing diseases, drug discovery, and personalized treatment plans. It can analyze medical images, predict patient outcomes, and enhance healthcare delivery. - Finance: In the financial industry, AI is used for fraud detection, algorithmic trading, credit risk assessment, and customer service chatbots. - Autonomous Vehicles: Self-driving cars employ AI for navigation, obstacle detection, and decision-making, aiming to make transportation safer and more efficient. - Education: AI-powered educational platforms offer personalized learning experiences, adapting content to individual student needs. - Manufacturing: Robots and AI-driven systems automate repetitive tasks in manufacturing, improving efficiency and quality. - Entertainment: AI is used in content recommendation systems on streaming platforms and in creating lifelike video game characters and environments. - Natural Language Processing (NLP): NLP is a subfield of AI that focuses on enabling machines to understand and generate human language. It's the technology behind language translation, sentiment analysis, and chatbots. Ethical Considerations As AI becomes more integrated into our lives, ethical concerns arise. Issues such as bias in AI algorithms, job displacement due to automation, privacy concerns, and the potential for misuse of AI in surveillance and warfare require careful consideration and regulation. The Future of AI The future of AI holds incredible promise. Researchers are working towards achieving General AI, though it remains a distant goal. AI will continue to revolutionize industries, improve healthcare, enhance education, and change the way we work and live. As AI continues to advance, it's crucial to strike a balance between innovation and ethical responsibility. The development and deployment of AI should prioritize transparency, fairness, and accountability. In conclusion, Artificial Intelligence is a transformative force that is reshaping our world. Its potential is vast, and its impact is already evident in numerous fields. With responsible development and thoughtful consideration of ethical implications, AI promises to lead us into a future where human and machine intelligence collaborate to solve complex problems and improve the quality of life for all. Please note that this article provides a general overview of AI, and there is much more depth to explore in each aspect discussed.

Virtual Reality

Virtual Reality

What is Virtual Reality (VR)? Virtual reality (VR) is a computer-generated environment that simulates a real or imaginary environment. It immerses the user in a virtual world where they can interact with objects and other users. VR is typically experienced through a headset that displays the virtual world on a screen in front of the user's eyes. How does VR work? VR works by using a variety of technologies to create a simulated environment. These technologies include: - Head-mounted displays (HMDs): HMDs are the most common way to experience VR. They display the virtual world on a screen in front of the user's eyes, creating a sense of immersion. - Tracking devices: Tracking devices track the user's movements in the real world, so that their movements are reflected in the virtual world. This allows the user to interact with the virtual world in a natural way. - Audio: VR headsets often include speakers or headphones to provide immersive audio experiences. This can help to make the virtual world feel more real. - Haptics: Some VR headsets also include haptic feedback, which provides the user with physical sensations that correspond to what they are doing in the virtual world. This can make the experience even more immersive. What are the different types of VR? There are two main types of VR: tethered and standalone. - Tethered VR: Tethered VR headsets are connected to a computer or gaming console. This allows for more powerful graphics and processing, but it also limits the user's mobility. - Standalone VR: Standalone VR headsets do not need to be connected to a computer or gaming console. This makes them more portable and convenient, but they typically have lower graphics and processing power. What are the different applications of VR? VR has a wide range of potential applications, including: - Gaming: VR is becoming increasingly popular for gaming. It offers a more immersive and realistic gaming experience than traditional games. - Education: VR can be used to create immersive educational experiences. This can be helpful for teaching students about different subjects, such as history, science, and geography. - Training: VR can be used to train people for different jobs, such as pilots, surgeons, and firefighters. It allows them to practice in a safe and controlled environment. - Therapy: VR can be used to treat a variety of conditions, such as anxiety, phobias, and post-traumatic stress disorder. It can help people to face their fears in a safe and controlled environment. - Social media: VR can be used to create social experiences. This can be helpful for people who are isolated or have difficulty socializing. - Entertainment: VR can be used to create immersive entertainment experiences, such as movies, concerts, and theme parks. What are the challenges of VR? VR is still a relatively new technology, so there are a number of challenges that need to be addressed, including: - Cost: VR headsets are still relatively expensive. This limits their adoption by consumers. - Motion sickness: Some people experience motion sickness when they use VR. This can be caused by the difference between the visual information that the user is seeing and the vestibular information that their body is feeling. - Eye strain: VR headsets can cause eye strain, especially if they are used for long periods of time. - Privacy and security: VR headsets can collect a lot of data about the user, such as their eye movements and facial expressions. This data could be used to track the user or to target them with advertising. The future of VR VR is a rapidly growing technology with a lot of potential. It is expected to become more affordable, accessible, and immersive in the future. This will lead to new and innovative applications for VR in a variety of fields. I hope this article has given you a detailed overview of virtual reality. If you have any other questions, please let me know.

artificial intelligence

Chatbots

A chatbot is a computer program that simulates human conversation through text or voice interactions. Chatbots are typically used in customer service, marketing, and education. They can also be used for entertainment purposes. Chatbots work by using natural language processing (NLP) and machine learning (ML) to understand the user's questions and provide relevant responses. The more a chatbot interacts with users, the better it becomes at understanding their language and providing helpful responses. There are many different types of chatbots, each with its own unique purpose. Some of the most common types of chatbots include: - Customer service chatbots: These chatbots are used to answer customer questions and resolve issues. They can be found on websites, in apps, and on social media. - Marketing chatbots: These chatbots are used to generate leads and promote products or services. They can be used to collect contact information, answer questions about products or services, and provide personalized recommendations. - Education chatbots: These chatbots are used to provide educational content and answer questions from students. They can be used to supplement classroom instruction or provide independent learning opportunities. - Entertainment chatbots: These chatbots are used to provide fun and engaging experiences. They can be used to play games, tell stories, or simply chat with users. Chatbots are becoming increasingly popular, as they offer a number of advantages over traditional customer service and marketing methods. Chatbots are available 24/7, they can handle multiple conversations at once, and they can be programmed to provide personalized responses. This makes them a valuable tool for businesses of all sizes. Here are some of the benefits of using chatbots: - 24/7 availability: Chatbots are available 24/7, which can be helpful for businesses that need to provide customer service or support outside of traditional business hours. - Scalability: Chatbots can handle multiple conversations at once, which can free up human customer service representatives to focus on more complex issues. - Personalization: Chatbots can be programmed to provide personalized responses, which can make customers feel more valued. - Cost-effectiveness: Chatbots can be a cost-effective way to provide customer service or marketing. Chatbots are still a relatively new technology, but they have the potential to revolutionize the way we interact with computers. As chatbots become more sophisticated, they will become more and more common in our everyday lives.

artificial intelligence

Virtual Assistant (VA)

A virtual assistant (VA) is a self-employed worker who provides administrative, technical, or creative assistance to clients from a remote location. Virtual assistants typically work with businesses and individuals to help them with tasks such as: - Administrative tasks: This includes tasks such as scheduling appointments, managing email, and creating reports. - Technical tasks: This includes tasks such as website management, social media marketing, and data entry. - Creative tasks: This includes tasks such as writing, editing, and graphic design. Virtual assistants can work with clients on a variety of projects and can be hired for a variety of hours. They can work full-time, part-time, or on an as-needed basis. There are many benefits to hiring a virtual assistant. Virtual assistants can help businesses and individuals save money on office space and employee salaries. They can also help businesses and individuals to be more efficient and productive. Here are some of the benefits of hiring a virtual assistant: - Cost-effectiveness: Virtual assistants can be a cost-effective way to get administrative, technical, or creative assistance. - Flexibility: Virtual assistants can work from anywhere with an internet connection, which gives businesses and individuals the flexibility to hire someone who is located in a different time zone or who has a different skillset. - Scalability: Virtual assistants can be scaled up or down as needed, which can be helpful for businesses that are growing or that have seasonal needs. - Specialization: Virtual assistants can be specialized in a particular area, such as social media marketing or graphic design. This can help businesses and individuals to get the expertise they need without having to hire a full-time employee. If you are considering hiring a virtual assistant, there are a few things you should keep in mind: - Define your needs: What tasks do you need help with? How many hours per week do you need assistance? - Set clear expectations: Be clear about your expectations for the virtual assistant's work, such as the quality of work, the turnaround time, and the communication style. - Find the right fit: There are many different virtual assistants available, so take the time to find someone who is a good fit for your needs and personality. Virtual assistants can be a valuable asset to businesses and individuals. By hiring a virtual assistant, you can save money, get the help you need, and be more productive.

artificial intelligence

Smart City

A smart city is a city that uses information and communication technologies (ICT) to improve the quality of life for its citizens. This can include things like: - Improving transportation: Smart cities can use sensors and data analytics to improve traffic flow, optimize public transportation, and make it easier for people to get around. - Making energy more efficient: Smart cities can use smart meters and other technologies to track energy usage and make it easier for people to save energy. - Improving public safety: Smart cities can use cameras, sensors, and data analytics to improve public safety by monitoring crime and traffic patterns. - Improving environmental sustainability: Smart cities can use technologies like renewable energy, smart grids, and water conservation to reduce their environmental impact. - Improving healthcare: Smart cities can use telemedicine, remote patient monitoring, and other technologies to improve healthcare delivery and make it more accessible to everyone. - Improving education: Smart cities can use online learning, personalized learning, and other technologies to improve education outcomes. There are many different technologies that can be used to create a smart city. Some of the most common technologies include: - Internet of Things (IoT): The IoT is a network of physical objects that are connected to the internet and can collect and exchange data. - Big data: Big data is the collection of large amounts of data that can be analyzed to reveal insights. - Machine learning: Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed. - Artificial intelligence: Artificial intelligence is the ability of machines to think and act like humans. Smart cities are still in their early stages of development, but they have the potential to revolutionize the way we live and work. By using ICT to improve the efficiency and sustainability of our cities, we can create a better future for everyone. Here are some of the benefits of smart cities: - Improved quality of life: Smart cities can improve the quality of life for citizens by making it easier to get around, reducing crime, and improving environmental quality. - Increased economic growth: Smart cities can attract businesses and investment by providing a more efficient and attractive environment. - Sustainable development: Smart cities can help to reduce environmental impact by using resources more efficiently and promoting renewable energy. - Improved public safety: Smart cities can use technology to improve public safety by monitoring crime and traffic patterns. - Enhanced social inclusion: Smart cities can use technology to improve social inclusion by providing access to services and information for everyone. There are also some challenges that need to be addressed in order to create successful smart cities, such as: - Data privacy: Smart cities collect a lot of data about their citizens, which raises concerns about privacy. - Security: Smart cities are vulnerable to cyberattacks, which could disrupt critical infrastructure. - Cost: Smart cities can be expensive to implement and maintain. - Acceptance: Citizens may not be willing to accept the changes that come with smart cities. Despite these challenges, smart cities have the potential to make our cities more livable, efficient, and sustainable. Read the full article

[jjbizconsult]

Volkswagen Self Driving Car to be Tested on US Roads

Volkswagen Self Driving Car to be Tested on US Roads. Volkswagen made an announcement stating that it intends to commence trials of its self-driving car, ID. Buzz, on the roads of Austin, Texas this month. This comes slightly over a year since its initial testing took place in Europe. Initially, ten electric and autonomous vehicles will be deployed in Austin for the testing phase. However,…

[gowithcar]

Self drive car in #indore #selfdrivingcar #Gowithcar #Rentacar #carrentalindore #selfdrivecarinindore #Gowithcar.com (at Indore smart City) https://www.instagram.com/p/CpE6DRJSET4/?igshid=NGJjMDIxMWI=

[jsbmarketresearch01]

Amazon Unveils the Self-driven Robotaxi, Zoox that Drives on Public Roads in California with Employees on Board

Imagine a robotaxi with no pedals or steering wheels, and self-driven with capabilities such as changing directions without being manned by a driver. Amazon-owned Zoox is just about this and more. It is currently being tested for only the employees of the headquarters of Zoox’s Foster City, California. The driverless autonomous vehicle was acquired by Amazon in 2000 from a 9-year-old startup. The automated taxi in question is carrying passengers on board with its bidirectional driving function, with no need to reverse, and contains four-wheel steering.

Last week, the Zoox Company received approval for the tests from the California Department of Motor Vehicles. However, the permit is limited, and not possible for the robotaxi to drive on all the public roads in the state. The test drive is allowed only for shuttling employees between the two office buildings in the perimeter of the one-mile public route at the headquarter of the company in Foster City, California. The speed of the self-driven Zoox for this purpose is also permitted for up to 35 miles an hour.

Executives from Zoox have said that there are dozens of vehicles but the fleet size is less than 100. It also confirmed that over the weekend, the robotaxis completed a test run transporting the employees on board.  Zoox came out with the electric robotaxi, a custom-built and on-demand autonomous transportation facility for operations in urban settings, as early as 2020, after which it was acquired by Amazon. At that time, the company had revealed just a few details on how the company’s technology would improve the robotaxi for the future.

But Zoox executives have not commented on anything as to if the vehicle is open for testing beyond the limit set for the route and participating employees, and when it will launch the said commercial robotaxi for public service. However, Zoox shall undergo several more tests with employees self-driven between the two buildings of the headquarters and perhaps launch the shuttle service in spring for its staffers.

Any vehicles in California that participate in testing on public roads have to report at each moment when the system disengages or a human driver controls the autonomous system on driving because of software issues and safety concerns. But Zoox does not report such incidents to the state as it refers to the events as something where the vehicle requires guidance or support and is not disengaged to shift to a human driver.

Aicha Evans, the Zoox CEO said that if the self-driven vehicle needs help for a situation it does not know to handle or do something that is normally not allowed, the scenario, in this case, is called a ‘fusion center’. Here, the vehicle is monitored by trained guidance operators to assess the scene and provide guidance to Zoox robotaxi, and then permit it to do something as the taxi does all the driving while still in charge, or as alternative trajectory drop breadcrumbs, or pull over at the worst.

The Cruise which is GM’s driverless unit also has – Origin, its autonomous shuttle without manual control. Last year, Alphabet’s Waymo along with Cruise got approval for their driverless taxi services in the state of California and offer their services to passengers, who will get charged for the rides. Unlike Cruise, Amazon-owned robotaxi says Zoox vehicles – which have no manual control and steering wheels, meet the Federal Motor Vehicle Safety Standards. Thus, the firm is not looking for waivers to put the vehicle on public roads for use.

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[solarpunkpresentspodcast]

A Self-Driving Auto Dystopia

Bad solarpunk me, but true child of the western US, I like to drive.  And I don’t mean to the grocery store, but to beautiful places, especially ones I’ve never been to before.  What could be better than the freedom of the open road and all the wonders my car can take me to see?  Yet, having lived nearly half my life now in Europe, I’ve spent a lot of time on buses, streetcars, and subways, and…

[theatre-gay-they]

Totally agree. Also have to recommend not just bikes video on self driving cars. It was absolutely horrifying. All very worst-case projections IMO but not implausible. Also anyone advocating against rent control is simping for landleeches so hard.

The video: https://youtu.be/040ejWnFkj0?si=L6DH-niuyim1WODO

Also some thoughts I had on discord while watching it

[lighthousenewsnetwork]

FREMONT, CA - In a move that has redefined the meaning of "self-driving," Tesla unveiled its newest innovation this week – the Model S Plaid "Co-Pilot," a revolutionary vehicle that allows even the most technophobic Luddite to experience the thrill (or terror?) of autonomous driving. This groundbreaking advancement boasts a suite of cutting-edge features, including lane-departure warning, automatic emergency braking, and the pièce de résistance – a giant red button labeled "HUMAN PANIC BUTTON" positioned conveniently within arm's reach of the driver. "We listened to our customers," declared Elon Musk, Tesla's ever-optimistic CEO, at the unveiling. "They crave the freedom of self-driving technology, but some, bless their analog hearts, still harbor a primal fear of rogue AIs taking over the world. The 'Co-Pilot' addresses this concern head-on, offering the perfect blend of technological marvel and good old-fashioned human control." The "Human Panic Button" itself is a marvel of ergonomic engineering. A large, pulsating red orb adorned with a universally recognized international symbol of distress (a stick figure flailing its arms wildly), the button is strategically placed on the dashboard, within easy reach of even the most beverage-laden driver. A single, desperate press instantly disengages the self-driving software, returning control to the human pilot – a reassuring feature for those moments when the car decides taking a shortcut through a cornfield seems like a perfectly sound decision. "This is a game-changer," gushed Dr. Bartholomew McLuddite, a self-proclaimed AI safety expert and noted collector of rotary landline phones. "Finally, a self-driving car acknowledges the inherent limitations of artificial intelligence. Sometimes, only a human's finely-honed fight-or-flight response can prevent a robot uprising on the highway." However, some industry experts remain skeptical. "Isn't the whole point of self-driving cars to, well, not require constant human intervention?" quipped Penelope Gearshift, a veteran car critic known for her scathing reviews and impressive collection of vintage hubcaps. "This feels less like a technological leap and more like a desperate attempt to appease the easily spooked." Indeed, the "Co-Pilot" raises several questions about Tesla's confidence in its own technology. Is the "Human Panic Button" a tacit admission that the self-driving software isn't quite there yet? Are these cars essentially high-priced, AI-powered chauffeurs with an emergency eject button for the paranoid passenger? Only time, and a whole lot of brave (or foolhardy) test drivers, will tell. One thing's for sure: with the "Co-Pilot," Tesla has redefined the self-driving experience. Now, even the most nervous technophobe can enjoy the "benefits" of autonomous driving – provided they have lightning-fast reflexes and a healthy dose of skepticism. So, the next time you're in the market for a car that drives itself (with the option of a quick and easy human override), head down to your local Tesla dealership. Just don't forget your stress ball and a good lawyer – you never know when you might need them.

[tritonmarketresearch]

Automation in Cars Redefining Mobility Beyond Human Control

The automotive industry is undergoing a revolutionary shift with the emergence of autonomous vehicles (AVs). This transformation marks the transition from traditional cars to self-driving vehicles with minimal to zero human intervention. From ride-hailing services to logistics and public transportation, self-driving cars are set to redefine the future of mobility.

Several critical technologies are at the core of self-driving cars. For instance, a combination of LiDAR, radar, ultrasonic sensors,��and cameras forms the backbone of vehicle awareness systems. In this regard, Minus Zero, an AI startup, introduced its zPod concept vehicle in June 2023. It incorporates a camera-sensor suite and uses Nature Inspired AI (NIA) and True Vision Autonomy (TVA) to simulate human-like perception and decision-making in real time. Such advancements illustrate the potential of integrating multiple sensor technologies with innovative AI models.

How does AI enhance self-driving cars?

Advanced AI models, such as those implemented by Tesla’s Full-Self Driving mode or Waymo’s autonomous systems, enable AI decision-making in cars, allowing vehicles to interpret road situations and react accordingly. An excellent example of AI integration is Tesla’s Project Dojo. This project focuses on managing extensive video data from Tesla vehicles, which is critical for refining its autonomous driving software.

What is Vehicle-to-Everything (V2X) Communication?

This term encompasses vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity. These communication systems are essential for coordinated driving and route planning. V2X technology allows self-driving cars to exchange information with other vehicles and road infrastructure, which improves safety and efficiency. For instance, in August 2023, Baidu expanded its autonomous ride-hailing platform Apollo Go to Wuhan Tianhe International Airport. This deployment leverages V2X communication to ensure safe and efficient interactions between autonomous cars and the airport’s infrastructure.

Challenges Faced by Self-driving Cars

The road to full automation is not without obstacles, and several challenges need to be addressed to achieve the seamless integration of autonomous vehicles into daily life.

Technical Challenges:

One of the most significant hurdles for autonomous vehicles is handling complex driving scenarios. Inclement weather conditions, unexpected movements from pedestrians, and poorly maintained roads can pose difficulties for AI systems, often leading to errors in decision-making. To address this, Kodiak Robotics, a prominent autonomous trucking company, joined the CVSA Enhanced Commercial Motor Vehicle (CMV) Inspection Standard program. This initiative allows autonomous trucks to undergo pre-clearance for roadside inspections, enhancing the safety and reliability of self-driving trucks on public roads.

Regulation and Legislation:

Autonomous vehicle regulation remains a key challenge for its widespread adoption, as laws governing self-driving cars vary across different regions. These differences in regulations create fragmented legal scenarios, impacting the deployment of self-driving technology.

In September 2023, California Governor Gavin Newsom vetoed a bill that sought to mandate human drivers in self-driving trucks weighing over 10,000 pounds. This decision triggered debates around job security and safety within the autonomous trucking sector, highlighting the conflicting priorities between advancing automation and protecting the interests of workers in the industry.

Contrastingly, in July 2021, Germany took a more proactive approach by allowing driverless vehicles equipped with Level 4 automation to operate within designated zones under the condition of technical supervision.

Ethical Concerns in Autonomous Vehicles:

The deployment of AI decision-making in cars introduces complex ethical dilemmas, especially when it comes to handling life-and-death scenarios. Suppose an autonomous vehicle faces a situation where it must choose between two harmful outcomes; the programmed decision-making protocols come under ethical scrutiny. Additionally, the extensive data collection by self-driving cars raises concerns about privacy in autonomous vehicles, as passengers and their journeys are constantly monitored. Despite these ethical concerns, several companies are spearheading the development of self-driving cars.

Notable Advancements regarding Automation in Cars

Several companies are spearheading the development of self-driving cars, from traditional automakers to tech giants. Their diverse approaches reflect the growing competition and collaboration within the industry.

In July 2023, Volkswagen Group of America launched a program to test autonomous vehicles in Austin, Texas. This initiative began with 10 all-electric ID Buzz vehicles with a goal to roll out self-driving ride-hailing and delivery services by 2026.

In October 2023, Uber partnered with Waymo to integrate Waymo’s autonomous vehicles into its ride-hailing service in Phoenix, offering customers autonomous rides at standard Uber rates.

Apple revised its self-driving goals in December 2022, delaying the launch of its autonomous electric vehicle by a year to 2026.

In December 2022, Baidu received authorization to conduct AV trials on public roads without a human safety operator inside the vehicle, marking a milestone in the industry.

Vehicle Automation: Levels of Autonomy

To classify the varying stages of automation, the Society of Automotive Engineers (SAE) introduced a six-level framework.

Level 0: No automation – A human driver entirely controls the vehicle. While some autonomous vehicle safety features like collision warning or stability control exist, they only offer brief interventions rather than taking over driving tasks.

Level 1: Driver assistance – At this stage, the vehicle can be assisted with a single task, such as steering or accelerating, but the driver must remain engaged.

Level 2: Partial automation – Here, vehicles can handle multiple tasks like steering and braking simultaneously; however, the driver must continuously monitor the system. It enables limited hands-free driving on approved highways but still requires active human supervision.

Level 3: Conditional driving automation – Vehicles at this level can take full control under specific conditions, but a human driver must be ready to intervene. Honda introduced a Level 3 system in 2021 for the Japanese market, becoming the first automaker to offer such a system.

Level 4: High driving automation – These vehicles can operate without human input within designated areas using geofencing technology. Level 4 automation is being tested for robotaxi services and autonomous public transport.

Level 5: Full driving automation – The ultimate goal of automation, Level 5 systems can operate under any conditions without human intervention. These vehicles are not limited by geofencing or specific conditions, allowing for a complete transformation of private and shared transportation.

Future of Autonomous Vehicles

The rise of robotaxi services and autonomous public transport aims to tackle challenges like traffic congestion and environmental sustainability. With projections indicating over 2 billion cars on the road by 2050, shared autonomous transport could mitigate the adverse effects of a growing vehicle population. Volkswagen’s collaboration with Mobileye, set to launch a robotaxi service by 2025, is a step toward this goal. However, to support the widespread use of autonomous vehicles, cities must invest in smart infrastructure with autonomous-friendly road designs and digital mapping systems. The future of autonomation in cars envisions a seamless integration of smart infrastructure, AI, IoT, and automated vehicles working harmoniously.

[papasmithcustom]

Electric shock: A new study found that EVs were more expensive to fuel than gas-powered cars at the end of 2022 — here are 3 easy ways to save cash no matter what you drive Is it time to pull the plug? https://ca.sports.yahoo.com/news/electric-shock-study-found-evs-150000536.html?src=rss #tesla #electriccars #electriccar #evs #ev #fullselfdriving #autonomous #autonomousdriving #autonomy #selfdriving #selfdrivingcar #selfdrivingcars #fsd #drivercars #goforadrive #driverscar #nocontrol #manualgearbox #savethemanuals #teslafanboys #teslafanbois #teslafanboy #teslafanboi #evfanatics #evfanatic #evfanatical #autonomousdrive #onetrickpony #noskillrequired (at Papa Smith Custom) https://www.instagram.com/p/CqBeBLMPydC/?igshid=NGJjMDIxMWI=

[knowledge-wale]

Tesla is gearing up to reveal its highly anticipated Robotaxi, marking a pivotal moment for Elon Musk's ambitious AI-driven vision. This self-driving vehicle aims to revolutionize transportation by eliminating human drivers entirely, leveraging Tesla's advanced AI systems. The robotaxi is set to be a key player in the autonomous vehicle market, with its AI capabilities handling all driving functions in real-world conditions. This reveal could significantly impact how we think about public transportation and urban mobility. In another major development, Generative AI is gaining ground as a critical tool for enhancing data security. https://t.ly/J9E5q

[haydioku-blog]

🚗 Tesla's Robotaxi: The Future of Autonomous Driving is Here! 🤖

Elon Musk has unveiled Tesla's highly anticipated Robotaxi, a fully self-driving vehicle designed to revolutionize the way we travel. With no steering wheel, no pedals, and a price tag under $30,000, this futuristic ride is set to hit the roads before 2027. 🌍✨

Discover how Tesla plans to lead the way in autonomous transportation and why competitors like Waymo and Zoox should be watching their backs. 🏎️💨

🔗 Read more about Tesla’s game-changing innovation and the exciting future of mobility - Tesla Robotaxi: Elon Musk’s Vision of a Self-Driving Future

[simple-logic]

#PollTime What is the most exciting application of AI that you have seen so far?

🚗 Self-driving cars

🩺 AI-powered medical diagnosis

💬 Virtual assistants

🎨 AI-generated art

Do you have the answer to this poll?

Let us know in the comment section below!

[jjbizconsult]

Tesla Cybercab The Future of Ride Sharing!

[travisdrivingschool]

The Future of Driving in Austin: How Drivers Ed Prepares You for the Era of Self-Driving Cars 🚗🤖

The world of driving is rapidly changing, and with self-driving cars becoming more of a reality every day, many wonder what this means for the future of driving in Austin. While fully autonomous cars aren’t mainstream yet, understanding how these new technologies work—and how to share the road with them—will soon be an essential part of every driver’s skill set. But here's the thing: Even as technology evolves, the fundamentals of driving remain crucial.

At Travis Driving School, we believe that drivers ed is more important than ever. Learning the core principles of safe driving, defensive driving, and road awareness prepares you not only for today’s roads but for the high-tech roads of tomorrow. 🚦💡 Let’s take a look at how drivers ed can help new drivers prepare for a future where self-driving cars may become the norm.

1. Understanding the Basics: Human Drivers vs. Autonomous Vehicles

Self-driving cars rely on complex algorithms, sensors, and cameras to navigate, but they still need to share the road with human drivers—at least for the foreseeable future. Learning to drive the traditional way ensures that you're fully prepared to handle all types of driving conditions, while also helping you understand how self-driving vehicles behave.

At Travis Driving School, we focus on teaching drivers how to read the road, anticipate potential hazards, and react to unexpected situations. These skills will be essential even as autonomous vehicles become more common. You’ll need to understand how self-driving cars operate and communicate, but your own driving instincts will still be key. 🛣️

2. Defensive Driving: Essential Now and in the Future

Whether you’re sharing the road with a human driver or an autonomous car, one thing remains the same: defensive driving is crucial for safety. Autonomous vehicles might be programmed to follow traffic laws, but that doesn’t mean there won’t be unpredictable situations on the road.

At Travis Driving School, we train our students to expect the unexpected and practice defensive driving techniques that will be useful both today and in the future. Learning how to navigate complex traffic patterns, merge safely, and maintain safe distances will still be vital skills even as self-driving cars become more common on Austin’s roads. 🚦

3. Learning Road Rules and Tech: A Powerful Combo

Self-driving cars use sensors and cameras to detect road signs, signals, and lane markings—but they’re not perfect. Human drivers who understand the rules of the road and know how to navigate tricky situations will always have an advantage. Even as technology improves, there will always be a need for drivers who can step in and take control when needed.

At Travis Driving School, we make sure our drivers ed program teaches students to fully understand road rules, driving etiquette, and vehicle control. In the future, this knowledge will be essential in managing hybrid driving scenarios where both autonomous and human-controlled cars share the road. You’ll be equipped not only with driving skills but also with a deeper understanding of how the technology around you works. 💻🚗

4. Embracing the Future While Staying Grounded in the Present

As Austin continues to grow, we can expect to see more self-driving cars on the roads. But while we move toward an autonomous future, the skills you learn in drivers ed today will still play a key role in your safety and driving success. Knowing how to drive, navigate tricky situations, and make quick decisions will always be essential, no matter how advanced the technology becomes.

At Travis Driving School, we embrace the future while staying grounded in teaching the best driving practices for today. Whether you're a new driver or just brushing up on your skills, we ensure you’re prepared for whatever the road holds—whether you're behind the wheel or sharing the road with a self-driving car. 🚘

Conclusion: Prepare for the Future of Driving with Travis Driving School

The future of driving in Austin will likely be a mix of human-driven and autonomous vehicles sharing the road. By learning the foundations of safe driving, you’ll be equipped to navigate this evolving landscape with confidence. At Travis Driving School, our drivers ed program prepares you not only for today's driving challenges but for tomorrow's tech-driven roads. The future of driving is exciting, and it’s essential to be ready for anything!