Autonomous vehicle systems require sensor data to make crucial driving and traffic
management decisions. Reliable data as well as computational resources become critical …

Autonomous vehicle systems require sensor data to make crucial driving and traffic
management decisions. Reliable data as well as computational resources become critical …

Autonomous vehicles heavily rely on sensor data to make pivotal driving and traffic
management decisions. However, the reliability of such data can be profoundly impacted by …

Autonomous driving needs various line-of-sight sensors to perceive surroundings that could
be impaired under diverse environment uncertainties such as visual occlusion and extreme …

Object detection plays an essential role in many vehicular applications such as Advanced
Driver Assistance System (ADAS), Dynamic Map, and Obstacle Detection. However, object …

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of
attention both from researchers and industry. Numerous studies targeting algorithms …

Autonomous vehicles use multiple sensors, large deep-learning models, and powerful
hardware platforms to perceive the environment and navigate safely. In many contexts …

Autonomous driving perceives surroundings with line-of-sight sensors that are compromised
under environmental uncertainties. To achieve real time global information in high definition …

A major role of automated vehicles is that vehicles serve as mobile sensors for event
detection and data collection, which support tactical automation in autonomous driving and …

Currently, many automated vehicle systems primarily perceive the environment from a single
perspective and as a result are unable to leverage additional scene information from the …