Nobody likes driving in a blizzard, including autonomous vehicles. To make self-driving cars safer on snowy roads, Michigan Tech engineers look at the problem from the car’s point of view–its sensors.
Cars that autonomously navigate from A to B are expected to be a common sight in a few years from now. But road approval is still a long way off. One important aspect: How can we tell a self-driving car has become “blind” with age, i.e., its sensors would need to be replaced? An Empa team is looking for a solution.
The Detroit Institute of Ophthalmology, the research arm of the Henry Ford Health System Department of Ophthalmology, is accepting abstracts for The Eye, The Brain & The Auto 9th World Research Congress on Health and Modern Mobility: Autonomous Vehicles, Driver’s Fitness to Function, and Naturalistic Driving Methods to be held Dec. 7-8, 2020. This will be a virtual event.
In MITRE’s Mobile Autonomous Systems Experimentation (MASE) Laboratory, team are researching ways to accelerate advanced autonomous technology and provide objective perspective and recommendations for broad impact in multiple domains, including drones, commercial aircraft, tanks, and self-driving vehicles.
A new study by Cornell researchers developed a first-of-its-kind model to control traffic and intersections in order to increase autonomous car capacity on urban streets of the future, reduce congestion and minimize accidents.