As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …

Online 3D multi-object tracking (MOT) has recently received significant research interests
due to the expanding demand of 3D perception in advanced driver assistance systems …

Despite the remarkable advancements in autonomous driving, the challenge persists in
achieving interpretable action decision-making, primarily owing to the intricate and …

In rotating radars, the revisit interval is time variant and uncertain due to its dependence on
target states and the disturbance of process noise, violating the assumption of prior known …

Visual object tracking is an essential research topic in computer vision with numerous
practical applications including visual surveillance systems, autonomous vehicles and …

Multiple extended target tracking (ETT) has attracted increasing interest due to the
development of high-precision LiDAR and radar sensors in automotive applications. For …

Extended object tracking (EOT) jointly estimates the object's kinematic state and extension
including the shape, size, and orientation based on measurements from the sensor. For …

This paper aims to investigate the distributed pursuit-encirclement control of multiple
unmanned surface vehicles (multi-USVs) with incomplete information, characterized by local …

In light of the limited efficacy of conventional methods for identifying pavement cracks and
the absence of comprehensive depth and location data in two-dimensional photographs …

Tracking Obstacles with low-resolution Lidar for Autonomous Driving applications is a
challenging task. Learning-based models for object detection are not suitable due to the …