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

Real driving scenarios, due to occlusions and disturbances, provide disordered and noisy
measurements, which makes the task of multi-object tracking quite challenging …

Multitarget tracking based on multisensor fusion perception is one of the key technologies to
realize the intelligent driving of automobiles and has become a research hotspot in the field …

This paper presents a target tracking algorithm based on 4D millimeter-wave radar point
cloud information for autonomous driving applications, which addresses the limitations of …

This paper presents a novel and efficient sensor fusion system for tracking multiple moving
vehicles over Light Detection and Ranging (LiDAR) and Radar in autonomous vehicles …

Multi-object tracking (MOT) is among crucial applications in modern advanced driver
assistance systems (ADAS) and autonomous driving (AD) systems. The global nearest …

This paper proposes a novel multiple vehicle-like target tracking method based on a
Velodyne HDL64E light detection and ranging (LiDAR) system. The proposed method …

Multiextended target tracking (METT) has important applications in many fields, including
autonomous vehicles, traffic flow monitoring, etc. However, as an acknowledged METT …

This paper investigated the problem of multi-target tracking (MTT) over a vehicle sensor
network. A novel adaptive square root cubature joint probabilistic data association …

Nowadays, accurate and real-time vehicle tracking is critical to ensure the safety of
intelligent vehicles. However, tracking in the complex traffic environments still remains a …