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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aeschimann, R. Borges, P.V.K. |
| Copyright Year | 2015 |
| Description | Author affiliation: Autonomous Syst. Lab., ETH Zurich, Zurich, Switzerland (Aeschimann, R.) || Comput. Inf., Autonomous Syst. Lab., CSIRO, Brisbane, QLD, Australia (Borges, P.V.K.) |
| Abstract | Efficient estimation of obstacles is a crucial component in autonomous vehicle navigation. Fusing stereo vision and laser scan data is a widely used approach for obstacle detection and navigation. Stereo vision can detect obstacles and the ground. Planar laser range finders can detect obstacles, but false positives occur when the scans collide with the ground. This paper proposes an algorithm for cooperative fusion of stereo vision and laser data. The algorithm checks the consensus of the two signals before filtering out the false positive laser scans from ground hits. Experimental results for tests in real driving situations in an industrial environment are presented. The results confirm the effectiveness of the proposed algorithm for robust and safe navigation. |
| Starting Page | 3927 |
| Ending Page | 3934 |
| File Size | 5646113 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479969234 |
| DOI | 10.1109/ICRA.2015.7139747 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laser fusion Stereo vision Vehicles Robot sensing systems Measurement by laser beam Three-dimensional displays Obstacle Detection Sensor Fusion Laser Range Finder Stereo Vision |
| Content Type | Text |
| Resource Type | Article |
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