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UrduAs researchers explore potential applications for AI, they have found scenarios where AI could be really useful but there’s not enough data to accurately train the algorithms. Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues.
Tag: Autonomous Driving
High-tech pavement markers support autonomous driving in tough conditions, remote areas
Working with Western Michigan University and other partners, Oak Ridge National laborator engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.
Driving in the Snow is a Team Effort for AI Sensors
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.
Vision test for autonomous cars
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 Eye, The Brain & The Auto: Call for Research Abstracts from Healthcare and Automotive Experts
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.
MITRE Unveils Laboratory Focused on Autonomous Technology
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.
Smart intersections could cut autonomous car congestion
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.