Self-localization of a mobile robot using a single vision sensor

Jaehong Shim

doi:10.1117/12.754552

8 October 2007 Self-localization of a mobile robot using a single vision sensor

Jaehong Shim

Proceedings Volume 6718, Optomechatronic Computer-Vision Systems II; 67180B (2007) https://doi.org/10.1117/12.754552
Event: International Symposium on Optomechatronic Technologies, 2007, Lausanne, Switzerland

Abstract

The most important factor of autonomous mobile robot is to build a map for surrounding environment and estimate its localization. This paper proposes a real-time localization and map building method through 3-D reconstruction using scale invariant feature from single camera. Mobile robot attached monocular camera looking wall extracts scale invariant features in each image using SIFT(Scale Invariant Feature Transform) as it follows wall. Matching is carried out by the extracted features and matching feature map that is transformed into absolute coordinates using 3-D reconstruction of point and geometrical analysis of surrounding environment build, and store it map database. After finished feature map building, the robot finds some points matched with previous feature map and find its pose by affine parameter in real time. Position error of the proposed method was max. 6.2cm and angle error was within 5°.

Citation Download Citation

Jaehong Shim "Self-localization of a mobile robot using a single vision sensor", Proc. SPIE 6718, Optomechatronic Computer-Vision Systems II, 67180B (8 October 2007); https://doi.org/10.1117/12.754552

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