Most object detection models for autonomous driving may experience a significant drop in
performance when deployed in real-world applications, due to the well-known domain shift …

Headway, namely the distance between vehicles, is a key design factor for ensuring the safe
operation of autonomous driving systems. There have been studies on headway …

Perception of the driving environment is critical for collision avoidance and route planning to
ensure driving safety. Cooperative perception has been widely studied as an effective …

Collaborative perception in automated vehicles leverages the exchange of information
between agents, aiming to elevate perception results. Previous camera-based collaborative …

Automated and connected vehicles are emerging in the market. Currently, solutions are
being proposed to use these technologies for cooperative driving, which can significantly …

The diverse agents in multi-agent perception systems may be from different companies.
Each company might use the identical classic neural network architecture based encoder for …

Real-time perception and motion planning are two crucial tasks for autonomous driving.
While there are many research works focused on improving the performance of perception …

Scenario-based verification and validation (V&V) has emerged as the predominant
approach for the performance evaluation of automated driving systems (ADSs). Many …

With the recent advancements in Vehicle-to-Vehicle communication technology,
autonomous vehicles are able to connect and collaborate in platoon, minimizing accident …

The CARLA simulator stands out amongst available open-source simulators providing life-
like rendering of vehicular scenarios. While several frameworks, such as OpenCDA [1], have …