Researchers at Cornell University are using sound to help autonomous vehicles navigate complex social situations, like communicating with people in traffic. After testing multiple scenarios, they discovered the timing of a sound, rather than the type of sound, was most important.
Tag: Autonomous Vehicle
A neuromorphic visual sensor can recognise moving objects and predict their path
The new smart sensor uses embedded information to detect motion in a single video frame
Zhang lab takes on cyber-physical system hackers
Research from the lab of Ning Zhang at the McKelvey School of Engineering shows a new way to keep people safe when a hacker attacks
GW Receives Funding to Develop Artificial Intelligence Systems Aimed at Helping People with Health Problems Drive Safely
Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.
Smart cruise control steers drivers toward better decisions
Smart cruise control, better human decisions. Michigan Tech engineers study how cars and trucks move cooperatively on the road, respond to each other’s environmental sensors and react as a group to lessen traffic jams and protect the humans inside.
Work begins on autonomous vehicle trial route
Over 300 kilometres of West Midland’s roads are set to trial connected and autonomous vehicles, making UK roads safer and allowing for more predictable goods delivery and journey times.
Autonomous Vehicle safety standards to be set by Warwick academic
The safety of Autonomous Vehicles will be tested by Dr Siddartha Khastgir, at WMG, the University of Warwick thanks to a UKRI Future Leaders Fellowship
Who’s Liable? The AV or the human driver?
Researchers at Columbia Engineering and Columbia Law School have developed a joint fault-based liability rule that can be used to regulate both self-driving car manufacturers and human drivers. They propose a game-theoretic model that describes the strategic interactions among the law maker, the self-driving car manufacturer, the self-driving car, and human drivers, and examine how, as the market penetration of AVs increases, the liability rule should evolve.