Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

3D object detection from images, one of the fundamental and challenging problems in
autonomous driving, has received increasing attention from both industry and academia in …

An accurate and robust perception system is key to understanding the driving environment
of autonomous driving and robots. Autonomous driving needs 3-D information about objects …

For autonomous intelligent systems, 3D object detection can act as a basis for decision
making by providing information such as object's size, position and direction to perceive …

Monocular 3D object tracking is a challenging task because monocular image lacks depth
information necessary for 3D scene understanding. Modern methods typically rely on deep …

We propose a new object-centric framework for learning-based stereo 3D object detection.
Previous studies build scene-centric representations that do not consider the significant …

We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set
of fitted CAD models as input and outputs convincing point-wise labels that can be used as …

To address problems of the poor matching accuracy and speed in space object detection,
this paper proposes a deformable fast object matching algorithm. It is a target-oriented depth …

Image-based 3D detection is an indispensable component of the perception system for
autonomous driving. However, it still suffers from the unsatisfying performance, one of the …