Outdoor 3D object detection has played an essential role in the environment perception of
autonomous driving. In complicated traffic situations, precise object recognition provides …

Cooperative perception, which has a broader perception field than single-vehicle
perception, has played an increasingly important role in autonomous driving to conduct 3D …

The recognition and utilization of complementary information arising from modality-intrinsic
properties play crucial roles in multimodal 3D detection. However, most of the current …

Automated systems require a comprehensive understanding of their surroundings to safely
interact with the environment. By effectively fusing sensory information from multiple sensors …

This paper proposes a method for enhancing vehicle monocular three-dimensional
perception using vehicle re-identification (Re-ID) and collaborative vehicle infrastructure …

Multi-modality three-dimensional (3D) object detection is a crucial technology for the safe
and effective operation of environment perception systems in autonomous driving. In this …

In the field of Advanced Driver-Assistance Systems, road traffic actors detection is a vital task
in order to avoid human errors in driving. Unlike camera only-based convolutional neural …

Having an accurate and comprehensive understanding of surrounding environment is the
first step toward autonomous driving. For an autonomous car to plan its actions, for example …

LiDAR-Camera fusion-based 3D object detection is one of the main visual perception tasks
in autonomous driving, facing the challenges of small targets and occlusions. Image …

Dataset. we conduct experiments on nuScenes dataset, a comprehensive autonomous
driving dataset that encompasses a variety of perception tasks, such as detection, tracking …