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.
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
no code implementations • 11 Oct 2022 • Gautam Shetty, Sabir Hossain, Chuan Hu, Xianke Lin
With the help of perception sensors in autonomous vehicles, a road slope estimation system can be developed to aid these control systems in making informed decisions regarding the vehicle's state.
no code implementations • 11 Jun 2022 • Zhibin Bao, Sabir Hossain, Haoxiang Lang, Xianke Lin
This review introduces the concept of HD maps and their usefulness in autonomous driving and gives a detailed overview of HD map generation techniques.
no code implementations • 17 May 2022 • Sabir Hossain, Xianke Lin
Perception and localization are essential for autonomous delivery vehicles, mostly estimated from 3D LiDAR sensors due to their precise distance measurement capability.