Autonomous vehicles (AVs) rely on various types of sensor technologies … conditions, the
perception systems (sensors onboard AVs) provide enough information to enable autonomous …

… However, perception and sensing for autonomous driving under adverse weather
conditions have been the problem that keeps autonomous vehicles (AVs) from going to higher …

… autonomous vehicles, and there is inevitable mutual interference between them, especially
under extreme conditions… drive (4WID) autonomous vehicles. An adaptive trajectory tracking …

… and handling stability of the autonomous vehicle under extreme conditions. The real-time …
of the autonomous vehicle. Index Terms—Autonomous vehicle, path tracking, handling …

… regarding performance quality under extreme conditions such as fog, rain, and snow. Under
… being considered for autonomous vehicle applications under extreme weather conditions, a …

… that severe and extreme rainfall conditions have a significant … rain conditions (50 mm/h) and
58% in extreme conditions (… in severe conditions (50 mm/h) and 52% in extreme conditions (…

… The verification of the extreme dependability … of autonomous vehicles. Using traditional
statistical methods to validate complete vehicle safety would require the vehicle to cover extreme …

… for autonomous vehicles when driving at the limits of friction through experiments with a full-size
vehicle… trajectories on an automated vehicle across friction conditions ranging from ice to …

… Architecture of weather transition scene generation and classification: We provide input
image pairs with extreme weather conditions to VAE to generate weather transition images. The …

Today, self-driving car technology is actively being researched and developed by numerous
major automakers. For autonomous vehicles (AVs) to function in the same way that people …