Online Robust Sliding-Windowed LiDAR SLAM in Natural Environments

Autor: Pham, Quang-Ha, Tran, Ngoc-Huy, Nguyen, Thanh-Toan, Tran, Thien-Phuc
Rok vydání: 2021
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1109/ISEE51682.2021.9418728
Popis: Despite the growing interest for autonomous environmental monitoring, effective SLAM realization in native habitats remains largely unsolved. In this paper, we fill this gap by presenting a novel online graph-based SLAM system for 2D LiDAR sensor in natural environments. By taking advantage of robust weighting scheme, sliding-windowed optimization, fast scan-matcher and parallel computing, our system not only delivers stable performance in cluttered surroudings but also meets real-time constraint. Simulated and experimental results confirm the feasibility and efficiency in the overall design of the proposed system.
Comment: Add figure 2 for clearer explanation. in 2021 International Symposium on Electrical and Electronics Engineering (ISEE), Ho Chi Minh City, 2021
Databáze: arXiv