#Driverless Technology

[automotiveera]

Driving the Future: Autonomous Commercial Vehicle Market Revolution

The autonomous commercial vehicle market is experiencing growth and is projected to reach USD 1,302.1 billion by 2030. This development can be ascribed to the continuing development in commercial vehicle technologies, growing government aid for autonomous commercial cars, and rising requirement for effective advantages and well-organized and safer driving options.

In recent years, the semi-autonomous category, on the basis of vehicle autonomy, contributed a higher revenue share. Vehicles must be fortified with electronic stability control or at least one of the progressive driver-assistance system ADAS features (either for steering or acceleration) to attain level 1 automation. Most of the European nations and the U.S. have forced the acceptance of basic ADAS features in all new commercial vehicles, which essentially makes all of them semi-autonomous.

In recent years, the truck category held the larger market share, and the category is projected to remain dominant in the vehicle type segment of the industry during the projection period. This can be credited to the growing utilization of autonomous trucks for logistical processes, like domestic logistics transportation, automated material handling, logistics digitalization, and yard management.

In the coming few years, on the basis of the application segment, the public transportation category is projected to advance at the fastest rate. This can be credited to the rising acceptance of autonomous shuttle facilities for public mobility reasons. Numerous start-ups and recognized businesses are coming up with strategies to grow level 5 autonomous shuttles for public transport. Such shuttles will not need human drivers for the process, which will aid transportation agencies save on working prices.

In the past few years, the North American region dominated the industry with the highest revenue for the autonomous commercial vehicle market, and the region is also projected to remain in the top spot during the projection period. This can be mainly credited to the increasing research and development activities on autonomous automobiles and growing aid from the federal and state governments for advancing autonomous driving technologies.

The APAC region is projected to witness the fastest development because of the booming vehicle industry here. APAC is the globe's largest vehicle maker, responsible for almost half of the annual production.

Hence, the continuing development in commercial vehicle technologies, growing government aid for autonomous commercial cars, and rising requirement for effective advantages are the major factors propelling the market.

[cmibloggers]

Global Autonomous Car Market Is Estimated To Witness High Growth Owing To Increasing Adoption of Self-Driving Vehicles and Growing Demand for Advanced

The global Autonomous Car Market is estimated to be valued at US$ 75.43 Bn in 2022 and is expected to exhibit a CAGR of 39.9% over the forecast period 2022–2030, as highlighted in a new report published by Coherent Market Insights. 

Market Overview:

The autonomous car market refers to vehicles capable of operating without human intervention by using advanced sensors, software, and communication systems. These vehicles offer numerous benefits such as reduced accidents, improved traffic flow, and enhanced fuel efficiency. Use cases of autonomous cars range from personal transportation to ride-hailing services and goods delivery. 

Market Dynamics:

The autonomous car market is driven by two key factors. Firstly, the increasing adoption of self-driving vehicles is a major driver. The advancements in artificial intelligence and sensor technologies have made autonomous cars more reliable and efficient. The demand for autonomous vehicles is expected to rise due to the convenience they offer in terms of reduced travel time and improved safety. Secondly, the growing demand for advanced safety features in cars is also contributing to market growth. Autonomous cars are equipped with advanced driver assistance systems (ADAS) such as adaptive cruise control, lane-keeping assist, and automatic emergency braking. These features ensure enhanced safety on the roads, leading to increased consumer preference for autonomous vehicles. 

Market Key Trends:

One key trend in the autonomous car market is the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI and ML algorithms enable autonomous cars to learn from their surroundings and adapt to changing traffic conditions. For example, AI-powered autonomous cars can learn to recognize pedestrians and make real-time decisions to avoid accidents. 

SWOT Analysis:

- Strengths:

1. Advanced safety features: Autonomous cars offer advanced safety features such as collision avoidance systems, which reduce the risk of accidents.

2. Improved fuel efficiency: Autonomous cars are designed to optimize fuel consumption, leading to reduced carbon emissions and improved fuel economy. 

- Weaknesses:

1. High costs: The production cost of autonomous cars is currently high due to the advanced technologies involved, making them less affordable for mass adoption.

2. Lack of regulations: The lack of comprehensive regulations regarding the operation and safety standards of autonomous cars poses a challenge to the market growth. 

- Opportunities:

1. Integration of smart city infrastructure: The integration of autonomous cars with smart city infrastructure can optimize traffic flow and reduce congestion, providing opportunities for market growth.

2. Growth in ride-hailing services: The increasing popularity of ride-hailing services creates opportunities for the adoption of autonomous vehicles in the transportation industry. 

- Threats:

1. Cybersecurity concerns: The reliance on connected technologies in autonomous cars makes them vulnerable to cyber threats, posing a threat to consumer safety and privacy.

2. Ethical considerations: The decision-making process of autonomous cars raises ethical questions regarding choices made in potential accident situations, creating public skepticism and challenging market adoption. 

Key Takeaways:

- The global autonomous car market is expected to witness high growth, exhibiting a CAGR of 39.9% over the forecast period, due to increasing adoption of self-driving vehicles and growing demand for advanced safety features.

- North America is expected to be the fastest-growing and dominating region in the autonomous car market, owing to strong technological advancements and favorable government regulations.

- Key players operating in the global autonomous car market include Audi AG, Bayerische Motoren Werke AG, General Motors Company, Nissan Motor Co., Ltd., Tesla Motors, Inc., The Volvo Group, Toyota Motor Corporation, Uber Technologies Inc., Waymo LLC, Kia-Hyundai, and Pony.ai. In conclusion, the global autonomous car market is poised for significant growth, driven by the increasing adoption of self-driving vehicles and the demand for advanced safety features. However, challenges such as high costs and lack of regulations need to be addressed for widespread market adoption.

[kropotkindersurprise]

September 2, 2023 - a San Francisco local disables a Cruise self-driving car. If you live in a place where Silicon Valley bullshit like driverless cars or autonomous delivery robots or doorbell cameras are becoming commonplace it might be a good idea to follow the example of this trendsetter and start carrying around a skimask and a hammer, just in case. [video]

[zee-man-chatter]

Of all things, the WIFI went down and the cars stopped in their tracks. People have in the past been locked out of their Tesla cars when the servers glitched. The problem with smart devices is that they build on a lot of technologies, if any one of them in the chain breaks, you get failure. So think of a crocodile, it's simple and rudimentary, and it's survived millions of years, sometimes simple is good.

[aifyit]

The DARK SIDE of AI : Can we trust Self-Driving Cars?

Read our new blog and follow/subscribe for more such informative content. #artificialintelligence #ai #selfdrivingcars #tesla

Self-driving cars have been hailed as the future of transportation, promising safer roads and more efficient travel. They use artificial intelligence (AI) to navigate roads and make decisions on behalf of the driver, leading many to believe that they will revolutionize the way we commute. However, as with any technology, there is a dark side to AI-powered self-driving cars that must be…

[kwisatzzhaderach]

i cut off a waymo in traffic today just to see how it handled the situation 👍🏻

[techdriveplay]

Self Driving Cars: Exploring the Future, Benefits, and Impact

The future of self-driving cars promises to transform the way we travel, work, and live. As we stand on the brink of a new automotive revolution, the advancements in autonomous vehicle technology are set to redefine transportation. The rapid progress in artificial intelligence, sensor technology, and machine learning has brought us closer than ever to a world where cars drive themselves, offering…

[reallytoosublime]

Self-driving cars, also known as autonomous vehicles or driverless cars, are a revolutionary technological advancement poised to transform the way we commute, travel, and interact with our urban and rural environments. In this video, we'll discuss the progress made by Tesla in their development of self-driving cars, and how close we are to achieving this technology.

Self-driving cars are equipped with a range of sensors such as LiDAR, cameras, radar, and ultrasonic sensors. These sensors provide the vehicle with a comprehensive view of its surroundings, allowing it to perceive other vehicles, pedestrians, road signs, traffic lights, and obstacles in real-time.

The heart of self-driving cars lies in their AI systems. These AI algorithms process the data from sensors to make complex decisions and control the vehicle's movements. Machine learning and deep learning techniques are used to teach the AI system to recognize patterns, predict the behaviors of other road users, and respond appropriately to various scenarios.

Self-driving cars rely on high-definition maps to understand their location and the environment. These maps provide information about lane markings, road geometries, traffic signs, and more. Simultaneous Localization and Mapping technology is used to continuously update the vehicle's position within the mapped environment.

Self-driving cars represent a technological frontier that holds the promise of safer, more efficient, and more accessible transportation. While there are hurdles to overcome, ongoing advancements in AI, sensor technology, and infrastructure development continue to push the boundaries of what's possible in the realm of autonomous vehicles.

Self-Driving Cars: How Close We Are?

[youtubemarketing1234]

Self-driving cars, also known as autonomous vehicles or driverless cars, are a revolutionary technological advancement poised to transform the way we commute, travel, and interact with our urban and rural environments. In this video, we'll discuss the progress made by Tesla in their development of self-driving cars, and how close we are to achieving this technology.

Self-driving cars are equipped with a range of sensors such as LiDAR, cameras, radar, and ultrasonic sensors. These sensors provide the vehicle with a comprehensive view of its surroundings, allowing it to perceive other vehicles, pedestrians, road signs, traffic lights, and obstacles in real-time.

The heart of self-driving cars lies in their AI systems. These AI algorithms process the data from sensors to make complex decisions and control the vehicle's movements. Machine learning and deep learning techniques are used to teach the AI system to recognize patterns, predict the behaviors of other road users, and respond appropriately to various scenarios.

The AI system of a self-driving car interfaces with the vehicle's control systems, including the steering, throttle, and brakes. It translates its decisions into precise actions to navigate the vehicle safely and efficiently.

Self-driving cars rely on high-definition maps to understand their location and the environment. These maps provide information about lane markings, road geometries, traffic signs, and more. Simultaneous Localization and Mapping technology is used to continuously update the vehicle's position within the mapped environment.

Communication technology plays a crucial role in the functioning of self-driving cars. These vehicles can exchange information with each other and with infrastructure elements like traffic lights and road sensors. This communication enhances safety and enables cooperative maneuvers.

Self-driving cars represent a technological frontier that holds the promise of safer, more efficient, and more accessible transportation. While there are hurdles to overcome, ongoing advancements in AI, sensor technology, and infrastructure development continue to push the boundaries of what's possible in the realm of autonomous vehicles.

Self-Driving Cars: How Close We Are?

[jcmarchi]

China Released Official Safety Guidelines for Autonomous Vehicles in Public Transport - Technology Org

New Post has been published on https://thedigitalinsider.com/china-released-official-safety-guidelines-for-autonomous-vehicles-in-public-transport-technology-org/

China Released Official Safety Guidelines for Autonomous Vehicles in Public Transport - Technology Org

China released safety guidelines on Tuesday for the deployment of autonomous vehicles in public transport.

Byton semi-autonomous electric car – illustrative photo. Image credit: Rennett Stowe via Flickr, CC BY-NC-ND 2.0 DEED license

This large-scale move marks another step in preparing for the increased use of driverless cars. The guidelines apply to autonomous vehicles used for passenger transport, including taxis, as well as for freight.

The news was announced officially, according to a statement from the Ministry of Transport. The regulations cover vehicles with varying degrees of automation and stipulate that they must have at least one driver or security inspector on board.

Additionally, the guidelines mandate that companies employing autonomous vehicles for public transport must be qualified and licensed. At the same time, the guidelines allow collaboration between companies and automakers for such operations.

Safety guidelines are necessary for the deployment of autonomous vehicles in public transport to ensure the safety of passengers, pedestrians, and other road users. Autonomous vehicles operate using complex technologies, including sensors, cameras, and artificial intelligence, and there is a need to establish standards and regulations to govern their safe operation.

The move is seen as potentially accelerating the adoption of autonomous driving technologies in China, providing a more pragmatic regulatory approach compared to the U.S. where regulations may target software developers directly.

China has been actively working on establishing standards and regulations for autonomous driving, aiming to support assisted and autonomous driving functions by 2025 and introducing a safety assurance system by 2030.

Autonomous vehicles interact with the public, and any malfunctions or errors could lead to accidents. Safety guidelines are essential to minimize the risk of accidents and ensure the protection of passengers, pedestrians, and other drivers.

Written by Alius Noreika

You can offer your link to a page which is relevant to the topic of this post.

[transit-fag]

Me at a Gay Bar talking to the nearest person who will listen to me ramble: Okay so you see self driving cars are a fucking scam you hear me, there are too many variables on the road to trust a machine and they still will take just as long as a human to get places and they aren’t capable of making the same split second decisions a human can make, so we really shouldn’t be studying them in all honesty, if we want to pursue driverless transit we should focus on building automated train lines due to how since they function on a set track they decisions rarely need to be made, additionally the technology for them is proven having existed since the 60s, so if we really want good driverless transport we should do what every transit expert has suggested and just focus on building modern reliable public transit

[sharmapooja1234]

Research Details Developments In The Driverless Sweeper Market Analysis And Forecast To 2029Boschung, BUCHER, Trombia Technologies

The Driverless Sweeper Market research delivers comprehensive research on the present stage of the market, covers market size with respect to assessment as sales volume, and provides a precise forecast of the market scenario over the estimated period. Also focuses on the product, application, manufacturers, suppliers, and regional segments of the market. Driverless Sweeper report research highlights market driving factors, an overview of the market growth, industry size, and market share. Since this Driverless Sweeper report depicts the constantly evolving needs of clients, vendors, and purchasers in different regions, it becomes simple to target specific products and generate large revenues in the global market.

“The Market For Driverless Sweeper Market Is Expected to Reach Rise at A CAGR Of 4% During the Forecast Period.”

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Top Key Players are covered in this report:

Boschung, BUCHER, Trombia Technologies, ENWAY, Dulevo International, Westfield Technology Group, BEIJING HUANWEI, Fujian Longma Environment, Infore Environment, Yutong Group, Beijing IDRIBERPLUS, Shanghai Xiantu Intelligent Technology, Gaussian Robot, Cowarobot, Changsha Intelligent Driving Institute, Guangzhou Saite Intelligent, DeepBlue Technology, WeRid

On the Basis of Product, the Driverless Sweeper Market Is Primarily Split Into

Capacity＞100L

    Capacity ≤ 100L

On the Basis of End Users/Application, This Report Covers

Municipal

    School

    Shopping Mall

    Others

 

The regions are further sub-divided into:

-North America (NA) – US, Canada, and Mexico

-Europe (EU) – UK, Germany, France, Italy, Russia, Spain & Rest of Europe

-Asia-Pacific (APAC) – China, India, Japan, South Korea, Australia & Rest of APAC

-Latin America (LA) – Brazil, Argentina, Peru, Chile & Rest of Latin America

-The Middle East and Africa (MEA) – Saudi Arabia, UAE, Israel, South Africa

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The study includes data on Driverless Sweeper market intelligence, changing market dynamics, current and expected market trends, etc.

The report comprises an in-depth analysis of macroeconomic and microeconomic factors affecting the global Driverless Sweeper market

Market Ecosystem and adoption across market regions

Major trends shaping the global Driverless Sweeper market

Historical and forecast size of the Driverless Sweeper market in terms of Revenue (USD Million)

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Market Segment Analysis:

The Driverless Sweeper Report provides a primary review of the industry along with definitions, classifications, and enterprise chain shape. Market analysis is furnished for the worldwide markets which include improvement tendencies, hostile view evaluation, and key regions development. Development policies and plans are discussed in addition to manufacturing strategies and fee systems are also analyzed. This file additionally states import/export consumption, supply and demand, charge, sales and gross margins.

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The Research covers the following objectives:

– To study and analyze the Global Driverless Sweeper consumption by key regions/countries, product type and application, history data from 2016 to 2022, and forecast to 2028.

– To understand the structure of Driverless Sweeper by identifying its various sub-segments.

– Focuses on the key global Driverless Sweeper manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, Porter’s five forces analysis, SWOT analysis and development plans in the next few years.

– To analyze the Driverless Sweeper with respect to individual growth trends, future prospects, and their contribution to the total market.

– To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

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Driverless Sweeper, the report can be customized according to your business requirements as we recognize what our clients want, we have extended 25% customization at no additional cost to all our clients for any of our syndicated reports.

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Note: All of the reports that we list have been tracking the impact of COVID-19 on the market. In doing this, both the upstream and downstream flow of the entire supply chain has been taken into account. In addition, where possible we will provide an additional COVID-19 update report/supplement to the report in Q3, please check with the sales team.

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The Research Insights – A world leader in analysis, research and consulting that can help you renew your business and change your approach. With us you will learn to make decisions with fearlessness. We make sense of inconveniences, opportunities, circumstances, estimates and information using our experienced skills and verified methodologies. Our research reports will provide you with an exceptional experience of innovative solutions and results. We have effectively led companies around the world with our market research reports and are in an excellent position to lead digital transformations. Therefore, we create greater value for clients by presenting advanced opportunities in the global market.

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[marketingyts]

Baidu said that it has received the license to test driverless robotaxi on Beijing’s roads without the use of safety controllers as a backup.

[probablyasocialecologist]

We don’t yet know exactly why a group of people very publicly graffitied, smashed, and torched a Waymo car in San Francisco. But we know enough to understand that this is an explosive milestone in the growing, if scattershot, revolt against big tech. We know that self-driving cars are wildly divisive, especially in cities where they’ve begun to share the streets with emergency responders, pedestrians and cyclists. Public confidence in the technology has actually been declining as they’ve rolled out, owing as much to general anxiety over driverless cars as to high-profile incidents like a GM Cruise robotaxi trapping, dragging, and critically injuring a pedestrian last fall. Just over a third of Americans say they’d ride in one. We also know that the pyrotechnic demolition can be seen as the most dramatic act yet in a series of escalations — self-driving cars have been vocally opposed by officials, protested, “coned,” attacked, and, now, set ablaze in a carnivalesque display of defiance. The Waymo torching did not take place in a vacuum. To that end, we know that trust in Silicon Valley in general is eroding, and anger towards the big tech companies — Waymo is owned by Alphabet, the parent company of Google — is percolating. Not just at self-driving cars, of course, but at generative AI companies that critics say hoover up copyrighted works to produce plagiarized output, at punishing, algorithmically mediated work regimes at the likes of Uber and Amazon, at the misinformation and toxic content pushed by Facebook and TikTok, and so on. It’s all of a piece. All of the above contributes to the spreading sense that big tech has an inordinate amount of control over the ordinary person’s life — to decide, for example, whether or not robo-SUVs will roam the streets of their communities — and that the average person has little to no meaningful recourse.

[humanoidhistory]

Driverless cars on the Autobahn in 1991's Automobile Technology of the Future by Ulrich Seiffert.