OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platfor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/127/2017/isprs-archives-XLII-2-W6-127-2017.pdf |
| Summary: | Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study,
we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can
be implemented on low-cost platforms involving a DSP or small FPGA. In this paper, we also present a study on the typical targets
that can be tough to detect because of their characteristics of reflectivity, form factor, heterogeneity and show how data fusion can
often overcome the limitations of each technology. |
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| ISSN: | 1682-1750 2194-9034 |