Optical flow and disparity are two informative visual features for autonomous driving
perception. They have been used for a variety of applications, such as obstacle and lane …

Localization, an indispensable component in robotics and automation, encounters
difficulties arising from appearance variations, resulting in inaccurate data associations …

The combination of light detection and rangings (LiDARs) and cameras enables a mobile
robot to perceive environments with multimodal data, becoming a key factor in achieving …

Unknown objects instance-aware segmentation (UOIS) is crucial for the operation of
autonomous robots, especially in unstructured scenes with unknown objects. As the primary …

Matching high definition (HD) map and real-time sensor data, which is crucial for map-based
intelligent vehicle localization, usually requires robust and distinct road features extracted …

Capturing a noncooperative flying object is a challenging task that consists of two subtasks:
precise tracking of the object and manipulation of the robotic grippers. High operation …

Accurate and robust correspondence matching is of utmost importance for various 3D
computer vision tasks. However, traditional explicit programming-based methods often …

Accurate localization is a key technology for automated mobile robot systems. Light
detection and ranging (LiDAR) is widely used in simultaneous localization and mapping …

Correspondence matching is a fundamental problem in computer vision and robotics
applications. Solving correspondence matching problems using neural networks has been …

This study introduces a visual odometry (VO) system designed to overcome challenges in
low-light conditions and uneven terrain, particularly for autonomous nighttime navigation …