Real-time object detection using monocular vision for low-cost automotive sensing systems
This work addresses the problem of real-time object detection in automotive environments using monocular vision. The focus is on real-time feature detection, tracking, depth estimation using monocular vision and finally, object detection by fusing visual saliency and depth information. Firstly, a no...
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| Language: | en |
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Cranfield University
2016
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| Online Access: | http://dspace.lib.cranfield.ac.uk/handle/1826/10386 |