MWNet: object detection network applicable for different weather conditions (English)
Free access
- New search for: Pei, Liu
- New search for: Yuan, Xue
- New search for: Dai, XueRui
- New search for: Pei, Liu
- New search for: Yuan, Xue
- New search for: Dai, XueRui
In:
IET Intelligent Transport Systems
;
13
, 9
;
1394-1400
;
2019
- Article (Journal) / Electronic Resource
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Title:MWNet: object detection network applicable for different weather conditions
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Contributors:
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Published in:IET Intelligent Transport Systems ; 13, 9 ; 1394-1400
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Publisher:
- New search for: The Institution of Engineering and Technology
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Publication date:2019-09-01
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Size:7 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:MWNet , extreme weather conditions , illumination conditions , decoder , shared convolutional layers , complex weather conditions , object detection , object detection network , novel network architecture , multiweather network , weather conditions , vehicle environment perception systems , bad weather detection subnet , traffic engineering computing , feature extraction , weather classification subnet , encoder , fair weather detection subnet , on‐board object detection system
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Source:
Table of contents – Volume 13, Issue 9
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1319
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Multi‐receptive field graph convolutional neural networks for pedestrian detectionShen, Chao / Zhao, Xiangmo / Fan, Xing / Lian, Xinyu / Zhang, Fan / Kreidieh, Abdul Rahman / Liu, Zhanwen et al. | 2019
- 1329
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DLMPCS‐based improved yaw stability control strategy for DDEVShi, Ke / Yuan, Xiaofang / Huang, Guoming / Zhang, Xizheng / Shen, Yongpeng et al. | 2019
- 1340
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Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning frameworkBao, Jie / Yu, Hao / Wu, Jiaming et al. | 2019
- 1348
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SVRGSA: a hybrid learning based model for short-term traffic flow forecastingCai, Lingru / Chen, Qian / Cai, Weihong / Xu, Xuemiao / Zhou, Teng / Qin, Jing et al. | 2019
- 1356
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Lateral control system for vehicle platoon considering vehicle dynamic characteristicsLiu, Yang / Zong, Changfu / Zhang, Dong et al. | 2019
- 1365
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Effects of ACC and CACC vehicles on traffic flow based on an improved variable time headway spacing strategyChen, Jianzhong / Zhou, Yang / Liang, Huan et al. | 2019
- 1374
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Short‐term passenger flow forecast of urban rail transit based on GPR and KRRGuo, Zhiqiang / Zhao, Xin / Chen, Yaxin / Wu, Wei / Yang, Jie et al. | 2019
- 1383
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Reliable broadcast mechanism for emergency message in urban vehicular ad hoc networksYang, Jinling / Huang, Chuanhe / Fan, Xiying et al. | 2019
- 1394
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MWNet: object detection network applicable for different weather conditionsPei, Liu / Yuan, Xue / Dai, XueRui et al. | 2019
- 1401
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Fatigue driving detection model based on multi‐feature fusion and semi‐supervised active learningLi, Xu / Hong, Lin / Wang, Jian‐chun / Liu, Xiang et al. | 2019
- 1410
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Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short‐term memory unitsXiao, Zhitao / Hu, Zhiqiang / Geng, Lei / Zhang, Fang / Wu, Jun / Li, Yuelong et al. | 2019
- 1417
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Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machineYu, Yuanlong / Xu, Miaoxing / Gu, Jason et al. | 2019
- 1429
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SVM-based hybrid approach for corridor-level travel-time estimationSharmila, R.B. / Velaga, Nagendra R. / Kumar, Akhilesh et al. | 2019
- 1440
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Video‐based method for detecting potential risks among multiple electric bikesXia, Yingji / Gao, Yuhong / Tian, Jing / Liu, Tianze et al. | 2019
- 1447
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SAPSC: SignRecrypting authentication protocol using shareable clouds in VANET groupsKanchan, Sneha / Singh, Garima / Chaudhari, Narendra S. et al. | 2019