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...

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Veröffentlicht in:	IEEE access 2018-01, Vol.6, p.19654-19663
Hauptverfasser:	Chen, Jing, Xu, Wenqiang, Peng, Weimin, Bu, Wanghui, Xing, Baixi, Liu, Geng
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Computational modeling disparity Feature extraction multi-scale pooling Object detection Object recognition Occlusion proposal Roads Solid modeling stereo vision Three dimensional models Two dimensional models
Online-Zugang:	Volltext
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