3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …

Cooperative perception offers several benefits for enhancing the capabilities of autonomous
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …

3D object detection plays a fundamental role in enabling driving automation, which is
regarded as a significant leap forward for contemporary transportation systems from the …

Autonomous vehicles may make wrong decisions due to inaccurate detection and
recognition. Therefore, an intelligent vehicle can combine its own data with that of other …

Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

Cooperative perception allows a Connected Autonomous Vehicle (CAV) to interact with the
other CAVs in the vicinity to enhance perception of surrounding objects to increase safety …

Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …

Sharing collective perception messages (CPM) between vehicles is investigated to
decrease occlusions so as to improve the perception accuracy and safety of autonomous …

Autonomous driving faces great safety challenges for a lack of global perspective and the
limitation of long-range perception capabilities. It has been widely agreed that vehicle …

Multi-modal fusion overcomes the inherent limitations of single-sensor perception in 3D
object detection of autonomous driving. The fusion of 4D Radar and LiDAR can boost the …