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

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

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

… 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 …

… 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 …

… The assessment of extremes is a critical task in general, one that is sensitive to the fitted …
, the extremes refer to vehicle–pedestrian collisions, while the observed events are vehicle–…

… for autonomous vehicles. To improve stability and tracking accuracy of the algorithm in extreme
conditions… A predictive control framework that monitors slip conditions at each tire is then …

… lateral and roll stability, especially under high velocity and large curvature extreme conditions.
Meanwhile, the proposed robust controller shows superiority to suppress the parameters …

… autonomous vehicles in extreme conditions can be ensured. (3). For the uncertainties in tire
cornering stiffness, an adaptive law based on multiple model theory is designed to increase …

… of Distributed Drive Autonomous Vehicles (DDAVs) under extreme conditions, the extreme
speed … method based on multi degrees of freedom vehicle dynamic model are proposed. The …