Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …

Robust object detection is hindered by various illumination conditions in real-world
applications. Common practice introduces thermal modality to augment the detection …

Small object detection based on highways is still a highly challenging research topic due to
the limitation of the number of pixels belonging to an object. Traditional small object …

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

This article tackles the challenging yet significant task of grounding a natural language
query to the corresponding region onto an image. The main challenge in visual grounding is …

Object detection forms the foundation of safe autonomous vehicle (AV) operation. LiDAR
and camera are both widely used detection devices, yet they each come with their unique …

Monocular 3D object detection is a fundamental but very important task to many applications
including autonomous driving, robotic grasping, and augmented reality. Existing leading …

Current LiDAR-camera 3D detectors adopt a 3D-2D design pattern. However, this paradigm
ignores the dimensional gap between heterogeneous modalities (eg, coordinate system …

Light detection and ranging (LiDAR) and cameras are core sensors used in autonomous
vehicles and industrial robots. LiDAR-camera fusion systems require an accurate estimation …