Highly Robust Vehicle Lateral Localization Using Multilevel Robust Network

Vision-based vehicle lateral localization has been extensively studied in the literature. However, it faces great challenges when dealing with occlusion situations where the road is frequently occluded by moving/static objects. To address the occlusion problem, we propose a highly robust lateral loc...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 34; H. 7; S. 3527 - 3537
Hauptverfasser:	Zheng, Zhiyong, Li, Xu, Zhu, Jianxiao, Yuan, Jianhua, Wu, Linqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Cameras Feature extraction Localization Location awareness Long short-term memory Multilevel robust network (MLRN) Neural networks Occlusion Reliability road occlusion Roads Robustness Semantics Static objects vehicle lateral localization
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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