The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

It is crucial for automated vehicles to explicitly comply with specifications, including traffic
rules, to ensure their safe and effective participation in road traffic. Such compliance is also …

Autonomous vehicle technologies have evolved quickly over the last few years, with safety
being one of the key requirements for their full deployment. However, ensuring their safety …

定位导航授时(positioning navigation and timing, PNT) 是国家重要战略基础设施,
目前中国已经建立了完善的北斗天基增强系统, 地基增强系统, 低轨增强系统 …

Heterogeneous graphs offer powerful data representations for traffic, given their ability to
model the complex interaction effects among a varying number of traffic participants and the …

Motion prediction and planning are key components to enable autonomous driving.
Although high definition (HD) maps provide important contextual information that constrains …

Autonomous vehicles benefit from correct maps to participate in traffic safely, but often maps
are not verified before their usage. We address this problem by providing an approach to …