Road Object Detection Using a Disparity-Based Fusion Model
Detection methods based on 2-D images tend to extract the color, texture, shape, and other appearance features of objects. However, in complex scenes, the detection results using these methods are often influenced by shadows, occlusion, and resolution. In this paper, a disparity-proposal-based detec...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8334544/ |