#autonomouscars

[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

[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.

[armando-ismael-arc]

Mercedes of the Future: What Will Cars Be Like in 2050?

We explore in this video the futuristic visions of Mercedes-Benz, imagining how their automobiles could revolutionize mobility in the coming decades. Concepts such as AI-powered autonomous driving, solid-state batteries for unlimited range, and modular design for full customization are discussed. The text also describes how future cars could integrate into our lives as control centers, connecting to our homes and devices, and how smart roads could optimize traffic and safety. Finally, it speculates on the possibility of Mercedes-Benz leading the creation of flying vehicles, pushing the boundaries of current mobility.

It explores the possible technologies and features that could define the Mercedes-Benz cars of the future. Concepts such as AI-powered autonomous driving, solid-state batteries for unlimited range, modular designs for extreme customization, total connectivity to integrate the car into daily life, and a fusion of technology and craftsmanship to create personalized luxury interiors are discussed. The article also highlights the need for smart infrastructures, such as roads that can communicate with autonomous vehicles, and speculates about a future where Mercedes cars might even fly.

[otaviogilbert]

Exploring the Future of Efficient Transportation | Paragon Universe

Explore the future of efficient transportation with Paragon Universe in this exciting video! 🚀 Join them as they delve into cutting-edge technologies and innovations that promise to revolutionize the way they move. From electric and autonomous vehicles to hyperloop systems and sustainable urban mobility, They'll take you on a journey to discover the next generation of transportation solutions. Buckle up for a glimpse into the future!

[sajzath]

From Assistive to Autonomous: The Evolution of Cars

The invention of the automobile was a landmark moment that transformed the way we travel and connect with the world. Over the decades, cars have come a long way, evolving from basic assistive vehicles to sophisticated autonomous machines. This article delves into the captivating journey of cars, tracing the advancements in technology that have paved the path from assistive driving to the promise…

[alexanderrogge]

RT - Badly parked car wreaks havoc in parking lot:

https://odysee.com/@RT:fd/parking_0402:6#Chelyabinsk #AutonomousCar #SelfDriving #FullyAutomatic #AssaultCar #TrafficCrash #CarViolence #StopCars #TrafficSafety

[sifytech]

Self-driving AI: Riding the wave of the future

The world's first self-driving AI cargo ship completed a 500-mile journey with 99% autonomy, while similar cars on land struggle to achieve much less. Satyen K. Bordoloi looks under the bonnet to tell you why, and when you can expect to buy a fully-autonomous car. Read More. https://www.sify.com/ai-analytics/self-driving-ai-riding-the-wave-of-the-future/

[gonzomachinecompany]

Autopilot vs. Autonomous Driving - learn the difference and understand the future of self-driving cars 🚗🤖

www.gonzomachine.com

[autocity]

The Future of Driving: Level 5 Autonomous Cars

Have you ever wondered what the future of driving will look like? Well, the answer is here - level 5 autonomous cars! In our latest article, we explore what level 5 autonomous cars are, when they'll be available, and the benefits they could offer.

With advanced sensors and AI algorithms, these cars can drive themselves without any human intervention.

Read on to learn more about this exciting technology and its potential impact on the automotive industry and society as a whole.

Article: https://www.autocity.live/post/the-future-of-driving-level-5-autonomous-cars

#autonomouscars #level5autonomy #futureofdriving

[trendstorm]

Next Gen Wheels | The Evolution of Futuristic Cars #futuristic #cars #nextgencars #cartech #scifi

https://www.youtube.com/watch?v=AWvPxL2fY_w Subscribe to Trend Storm for daily videos!!! #futuristiccars #futurecars #electricvehicles #trendstorm #autonomouscars #selfdrivingcars #evrevolution #nextgencars #hypercars #conceptcars #smartcars #electricfuture #autonomousdriving #sustainabledriving #automotiveinnovation #greendriving #ecofriendlycars #electriccars #smartmobility #connectedcars #evtechnology #futuretransportation #cartech #urbanmobility #futuristicdesign #electricmotors #luxurycars #electricperformance #electricsupercar #supercars #zeroemissions #selfdriving #innovativecars #electricrevolution #futuremobility #cartechnology #autonomousvehicles #sustainablemobility #electricdreams #urbantransport #futureconcepts #automotivefuture #futureofdriving #smartdriving #automotivedesign #electricrevolution #futuretransportation #electriccarrevolution #greenvehicles #automotivetrends #smartautomation #evindustry #nextgendriving #techincars Futuristic Cars Future of Driving Electric Cars Autonomous Vehicles Concept Cars Self-Driving Cars Next-Gen Vehicles EV Revolution Smart Cars Luxury Electric Cars Cars of the Future Hypercars Electric Vehicles 2024 Autonomous Driving Tech Future Car Technology Advanced Automotive Design AI in Cars Eco-Friendly Cars Smart Mobility Sustainable Transportation The Future of Driving: Exploring Futuristic Cars Futuristic Rides: Cars That Will Blow Your Mind Next-Gen Wheels: The Evolution of Futuristic Cars Hypercars of Tomorrow: The Future of Automotive Design Beyond Electric: The World of Futuristic Cars Autonomous & Electric: The Future of Cars Futuristic Vehicles: Driving into Tomorrow Supercars 2050: The Future of Speed From Concept to Reality: The Rise of Futuristic Cars Smart Cars, Smart Future: Exploring Tomorrow's Vehicles via Trend Storm https://www.youtube.com/channel/UCF1F2JAMftAe2z2hl32FXmQ October 08, 2024 at 05:30PM

[ikno-io]

Discover the most recent updates in the automotive industry with CarCrazyUS. From electric vehicles to autonomous cars and performance cars, stay informed about what's new in the world of cars. read the full article: https://bit.ly/3AGbzHC #latestcarnews #CarCrazyUS #electricvehicles #autonomouscars #performancecars read more: what is the latest car news on carcrazyus

[gis56]

"Driving Change: Autonomous Cars Market Analysis 2024-2033 🚗📈"

Autonomous cars are redefining the way we think about transportation, paving the way for a future where vehicles drive themselves with precision and safety. Equipped with advanced sensors, AI, and machine learning, these self-driving cars navigate complex environments, making split-second decisions to ensure passenger safety and efficiency. Beyond convenience, autonomous vehicles promise to reduce traffic congestion, lower emissions, and transform urban mobility. As technology continues to evolve, autonomous cars are set to revolutionize the way we travel, offering a glimpse into a world where the journey is as smart as the destination.

#AutonomousCars #SelfDriving #FutureMobility #CarTech #AutoInnovation #SmartCars #AIinCars #UrbanMobility #DrivingTech #VehicleAutomation #SmartTransportation #NextGenCars #TechInCars #FutureOfDriving #AutomotiveRevolution

[juanmecanico]

La red Super Cruise de GM se está expandiendo a alrededor de 750 mil millas de carreteras Impresionante, amigos, la red #handsfree Super Cruise de GM se está expandiendo. Entré en profundidad con esto y la emoción es palpable. ¡Por supuesto, no hay nada como la extravagancia y la emoción de los avances en la tecnología automotriz! En la actualidad, apenas hay unos 200,000 millas de carreteras en EE. UU. y Canadá que soportan esta tecnología, pero se espera que esa cifra suba a ¡más de 2 millones de millas! ¿Hablas de avance? Eso es lo que llamamos progreso, mis queridos seguidores de autos. Pero, ¿qué significa esto en detalles #techie? ¡Hablemos de ello! GM dice que su tecnología Super Cruise utiliza información de mapas de alta precisión junto con sensores en el vehículo en tiempo real para permitir la conducción autónoma. Pero no se trata solo del camino abierto, sino también de varias intersecciones y tramos de carretera difíciles. Sí, estamos hablando de tecnología que puede manejar carreteras sinuosas y cambios drásticos en el tráfico. Ahora, estoy seguro de que te estás preguntando sobre la seguridad, ¿verdad? GM insiste en que su sistema Super Cruise es completamente seguro, y está respaldado por cientos de miles de pruebas antes de su lanzamiento. Aunque todos sabemos que no existe nada como la seguridad absoluta en este mundo #carsafety. Todos los sistemas, incluso este, tienen sus inconvenientes. Pero déjenme decirles, amigos, que la dedicación y diligencia que GM ha demostrado en esta área es realmente admirable. Pero, ¡espera un momento! GM también está incorporando nueva tecnología de "ojos en el camino", donde la cámara integrada te supervisa si te olvidaste de prestar atención al camino. Y si eso ocurriera más de una vez, el Super Cruise simplemente se apagaría. La expansión de la red Super Cruise es solo una de las varias iniciativas de conducción autónoma en las que GM está trabajando. Están buscando agresivamente fabricar "millones" de autos eléctricos y vehículos autónomos con la ayuda de una inversión de 27 mil millones de dólares hasta 2025. Esa es una cifra asombrosa, incluso para alguien tan acostumbrado a los números del juego automotriz como yo. Para resumir, GM se está empeñando fervientemente en alcanzar y demostrar la funcionalidad de conducción autónoma en muchos más terrenos y situaciones de tráfico. Es una combinación apasionante de entusiasmo tecnológico y visiones audaces para el futuro. Así que aquí estamos, amigos, adentrándonos en la era de la verdadera conducción autónoma y yo, por mi parte, estoy absolutamente emocionado de ver cómo se desarrolla todo. ¿Y tú? ¿Estás listo para dar un paseo en autos que pueden manejar por sí mismos? Cuéntame más abajo en los comentarios. ¡Hasta la próxima! #autonomouscars

[blog2social-dev-test]

The Debate About Electric Vehicles (EVs) and AI AutonomousCars

So far, it appears that with pretty much a normal car, whether an EV or a gas-powered one, we’ll be able to make it into an AI self-driving car. (GETTY IMAGES) Electrical Vehicles (EVs) are talked about, they are praised, they get a lot of attention, and in some parts of the United States there is a near obsession with them (hint: California). In spite of all the hype and press, the reality is that there are only around 1.1 million such cars in the U.S. and it represents a small fraction of the 250+ million cars in the country. That’s less than one-half of one percent of the total cars in circulation. When I say this at various industry presentations, those with an EV are quick to yell at me as a traitor and get upset at my seemingly naysayer commentary. Allow me to clarify that I am fully supportive of EVs and hope that a lot more will get sold. I’m a big cheerleader for EVs. All I’m trying to point out is that we have a long way to go before they become prevalent. In terms of EVs, I am lumping together all variations in this herein discussion, for convenience’s sake. Generally, there are Plug-in EV’s (PEVs), consisting of Battery EV (BEVs) that are equipped to only run on batteries, and there are the Hybrid EVs (abbreviated as either HEVs or PHEVs), which use both a gas powered internal combustion engine and battery power. Why have EV’s? One argument in favor of EV is that they are less polluting than conventional gas-powered cars. Thus, ecologically, the EV is better for the environment. We can all breathe a bit easier. Another argument is that the adoption of EV’s might aid in reducing the pace of climate change. That’s one that gets a lot of people in a tizzy since there are some that believe in climate change and some that do not. Read more here By Lance Eliot, the AI Trends Insider March 26, 2020 aitrends Read the full article

[sagorika]

What is the future of driverless cars?

What is the future of driverless cars? #AVs #driverlesscars #Autonomouscars

The future of driverless cars is the focus on the next segment of “Larry King Live.” What do you think about it? Is it raising the competition bar high enough? The future of driverless cars is still unknown. Will it become an iconic hero or just a showpiece circling your lobby? It is still uncertain. What is driving me crazy is the transformation of the market, and it is still unknown which…