With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

Autonomous driving, as a pivotal technology in modern transportation, is progressively
transforming the modalities of human mobility. In this domain, vehicle detection is a …

Due to the global population increase and the recovery of agricultural demand after the
COVID-19 pandemic, the importance of agricultural automation and autonomous agricultural …

Radar sensors are vital for autonomous driving due to their consistent and dependable
performance, even in challenging weather conditions. Semantic segmentation of moving …

Object tracking is one of the most important problems in computer vision applications such
as robotics, autonomous driving, and pedestrian movement. There has been a significant …

3D object detection has achieved great progress recently. However, the contradiction
between high accuracy and rapid inference is a crucial issue, which is particularly evident in …

In the field of autonomous land vehicles (ALVs), environmental perception serves as the
gateway for ALVs to acquire external information, directly determining the capabilities and …

Vehicle detection plays a crucial role in the field of autonomous driving technology.
However, directly applying deep learning-based object detection algorithms to complex road …

LiDAR point cloud object detection plays an important role in autonomous driving. However,
there is a conflict between high accuracy and inference speed which hinders further …

The autonomous movement of a car in a structured environment is possible based on a
map, with the location of the vehicle by GPS and a destination specified by a user or by the …