Vision-Based Environmental Perception for Autonomous Driving

no code implementations • 22 Dec 2022 • Fei Liu, Zihao Lu, Xianke Lin

In this paper, we introduce and compare various methods of object detection and identification, then explain the development of depth estimation and compare various methods based on monocular, stereo, and RDBG sensors, next review and compare various methods of SLAM, and finally summarize the current problems and present the future development trends of vision technologies.

Autonomous Driving Depth Estimation +3

Vision-based localization methods under GPS-denied conditions

no code implementations • 22 Nov 2022 • Zihao Lu, Fei Liu, Xianke Lin

This paper reviews vision-based localization methods in GPS-denied environments and classifies the mainstream methods into Relative Vision Localization (RVL) and Absolute Vision Localization (AVL).

Optical Flow Estimation Simultaneous Localization and Mapping +2