Although the majority of recent autonomous driving systems concentrate on developing
perception methods based on ego-vehicle sensors, there is an overlooked alternative …

The rapid development of Autonomous Vehicles (AVs) increases the requirement for the
accurate prediction of objects in the vicinity to guarantee safer journeys. For effectively …

Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …

Lidars and cameras are critical sensors for 3D object detection in autonomous driving.
Despite the increasing popularity of sensor fusion in this field, accurate and robust fusion …

The task of 3D object detection poses a significant challenge for 3D scene understanding
and is primarily employed in the fields of robot control and autonomous driving. Monocular …

The touchless techniques in human-computer interaction (HCI) can effectively expand
computer access capabilities for disabled people. This paper presents Touchless Head …

Robust scene perception is an essential prerequisite to ensure the reliability in ship
autonomous driving. However, it is a challenging task in inland river because of the …

Automatic 3D object detection using monocular cameras presents significant challenges in
the context of autonomous driving. Precise labeling of 3D object scales requires accurate …

Parcel damage detection poses a significant challenge in warehouse automation and
conveyor belt transportation, with a particular focus on leveraging the potential of Internet of …

During feature-level data fusion in 3-D object detection, the correlation between different
modal data is destroyed by the misalignment problem, which leads to inaccurate localization …