Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

Multiple object tracking gained a lot of interest from researchers in recent years, and it has
become one of the trending problems in computer vision, especially with the recent …

Many existing adversarial attacks generate $ L_p $-norm perturbations on image RGB
space. Despite some achievements in transferability and attack success rate, the crafted …

Recently, with the rapid development in vehicle-to-infrastructure communication
technologies, the infrastructure-based, roadside perception system for cooperative driving …

Infrastructure 3D Object Detection is a pivotal component of Vehicle-Infrastructure
Cooperated Autonomous Driving (VICAD). As turning objects account for a high proportion …

The waterdrops on windshields during driving can cause severe visual obstructions, which
may lead to car accidents. Meanwhile, the waterdrops can also degrade the performance of …

For simulation to be an effective tool for the development and testing of autonomous
vehicles, the simulator must be able to produce realistic safety-critical scenarios with …

Road traffic scene reconstruction from videos has been desirable by road safety regulators,
city planners, researchers, and autonomous driving technology developers. However, it is …

As vehicular communication and networking technologies continue to advance,
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …

Real-time safety metrics are important for automated driving systems (ADS) to assess the
risk of driving situations and assist in decision-making. Although a number of real-time safety …