International Journal of Advanced Robotic Systems | |
Estimation of Initial Position Using Line Segment Matching in Maps | |
Ruili Wang1  Tao Wu1  Chongyang Wei1  Hao Fu1  | |
关键词: Lidar Intensity Map; Line Segment Matching; Initial Position; GPS Jump; Autonomous Vehicles; | |
DOI : 10.5772/64067 | |
学科分类:自动化工程 | |
来源: InTech | |
【 摘 要 】
While navigating in a typical traffic scene, with a drastic drift or sudden jump in its Global Positioning System (GPS) position, the localization based on such an initial position is unable to extract precise overlapping data from the prior map in order to match the current data, thus rendering the localization as unfeasible. In this paper, we first propose a new method to estimate an initial position by matching the infrared reflectivity maps. The maps consist of a highly precise prior map, built with the offline simultaneous localization and mapping (SLAM) technique, and a smooth current map, built with the integral over velocities. Considering the attributes of the maps, we first propose to exploit the stable, rich line segments to match the lidar maps. To evaluate the consistency of the candidate line pairs in both maps, we propose to adopt the local appearance, pairwise geometric attribute and structural likelihood to construct an affinity graph, as well as employ a spectral algorithm to solve the g...
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912020417754ZK.pdf | 4672KB | download |