K
Kunfeng Wang
Researcher at Beijing University of Chemical Technology
Publications - 93
Citations - 4041
Kunfeng Wang is an academic researcher from Beijing University of Chemical Technology. The author has contributed to research in topics: Object detection & Video tracking. The author has an hindex of 24, co-authored 84 publications receiving 2672 citations. Previous affiliations of Kunfeng Wang include Chinese Academy of Sciences.
Papers
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Data-Driven Intelligent Transportation Systems: A Survey
TL;DR: A survey on the development of D2ITS is provided, discussing the functionality of its key components and some deployment issues associated with D2 ITS Future research directions for the developed system are presented.
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Generative adversarial networks: introduction and outlook
TL;DR: It is concluded that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration, and can provide substantial algorithmic support for parallel intelligence.
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Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines
TL;DR: This paper presents a vehicle license plate recognition method based on character-specific extremal regions (ERs) and hybrid discriminative restricted Boltzmann machines (HDRBMs) that is robust to illumination changes and weather conditions during 24 h or one day.
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Parallel testing of vehicle intelligence via virtual-real interaction
Li Li,Xiao Wang,Kunfeng Wang,Yilun Lin,Jingmin Xin,Long Chen,Linhai Xu,Bin Tian,Yunfeng Ai,Jian Wang,Dongpu Cao,Dongpu Cao,Yuehu Liu,Chenghong Wang,Nanning Zheng,Fei-Yue Wang +15 more
TL;DR: A self-driven closed-loop parallel testing system implements more challenging tests to accelerate evaluation and development of autonomous vehicles.
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Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives
TL;DR: This paper emphasizes the significance of synthetic data to vision system design and suggests a novel research methodology for perception and understanding of complex scenes.