Autonomous vehicles work much better than many people think – and much worse. Some simple changes to our roads could make them safer.
Articles on Self-driving vehicles
Displaying 1 - 20 of 32 articles
AI models that power self-driving cars work great in clear conditions, but turn blind in fog or at night.
Nvidia’s new AI system, Alpamayo, could prove a major step to making autonomous cars a common sight on our roads.
Cars that mostly drive themselves – but where a human is required to continuously supervise – fall between the cracks of existing law.
Too many people still believe AI safety is a future problem that can be fixed with simple laws – but the truth is very different.
Long before all vehicles become self-driving, AI could drastically improve traffic conditions. Traffic jams could become a thing of the past when even as few as 5% of cars are driven by robots.
Roughly half of people surveyed support the development of autonomous vehicles. But a third were undecided about many aspects and will need to be convinced about their safety and other benefits.
Technological approaches could help reduce the carbon impact of artificial intelligence systems.
Self-driving cars still perceive what’s going on very differently to how humans do.
Autonomous driving technology needs to be able to think and behave more like a human.
Learning about the world from live events is the next step for AI.
Your car’s safety technology takes you into account. But a lot of that technology helps car companies collect data about you. Researchers are working on closing the gap between safety and privacy.
The autonomous vehicle revolution was, according to its proponents, meant to have transformed daily travel by now. But they underestimated the task of developing a safe, truly driverless vehicle.
Consumers need to be aware that none of the vehicles on the market today are actually self-driving — vehicles still require active supervision from a human driver.
Trials in US cities of self-driving taxis could have implications for road users around the world.
The promise of self-driving cars remains unfulfilled, as the technology still requires drivers to co-pilot the vehicles to avoid collisions.
Our research on a recent Australian court case shows how experts and lawyers can overcome opaque AI technology. But regulators could make it even easier, by making AI companies document their systems.
Between driverless cars, autonomous weapons and AI-powered medical diagnostic tools, it seems there will be no shortage of ethically-complex situations involving AI in the future.
‘Teleoperated’ HGVs combine the efficiency of automation with the safety of human oversight.
Tesla crashes and the investigations that follow generate a lot of headlines, but the dangers of automotive automation are industrywide. The common denominator is the human behind the wheel.
Top contributors
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Associate Professor, Human Systems Labs, University of Windsor
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Honorary Professor of Planning, The University of Queensland
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Professor of Cyber Security Practice, Edith Cowan University
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Professor of Transport Technology and Sustainability, Swinburne University of Technology
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PhD Candidate, Queensland University of Technology
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Sr User Researcher, Cornell University
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Professor of Human Computer Interaction, Stockholm University
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Associate Professor, Institute for Future Transport and Cities, Coventry University
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Professor of Design and Innovation, Nottingham Trent University
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Professor of Science and Technology Policy, UCL
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Professor of Safe AI and Autonomy | Director of Connected Autonomous Vehicles Lab at the University of Surrey, University of Surrey
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Professor of Electrical and Computer Engineering, Michigan State University
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Director, Assuring Autonomy International Programme, University of York
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Professor of Systems Security, Coventry University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California