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Chaozhong Wu
Researcher at Wuhan University of Technology
Publications - 152
Citations - 2529
Chaozhong Wu is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Computer science & Poison control. The author has an hindex of 21, co-authored 142 publications receiving 1468 citations. Previous affiliations of Chaozhong Wu include Delft University of Technology & Chinese Ministry of Education.
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Path Planning and Cooperative Control for Automated Vehicle Platoon Using Hybrid Automata
TL;DR: A control algorithm combining artificial potential field approach with model predictive control (MPC), and using the optimizer of the MPC controller to replace the gradient-descending method in the traditional APF approach is presented, which can accomplish both path planning and motion control synchronously.
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Motor vehicle–bicycle crashes in Beijing: Irregular maneuvers, crash patterns, and injury severity
TL;DR: This research presents a comprehensive analysis of motor vehicle-bicycle crashes using 4 years of reported crash data (2004-2007) in Beijing to suggest installation of median, division between roadway and bikeway, and improvement of illumination on road segments.
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Deep learning for autonomous ship-oriented small ship detection
TL;DR: Experimental results show that the proposed deep learning method is competent to generate sufficient informative small ship samples and can obtain significantly improved and robust results of small ship detection, and indicate that the method can be effectively applied to ensuring autonomous ship safety.
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Scientometric analysis of geostatistics using multivariate methods
TL;DR: Multivariate methods were successfully employed in a comprehensive scientometric analysis of geostatistics research, and the publications data for this research came from the Science Citation Index and spanned the period from 1967 to 2005.
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Driver's Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China
Nengchao Lyu,Lian Xie,Lian Xie,Lian Xie,Chaozhong Wu,Chaozhong Wu,Qiang Fu,Chao Deng,Chao Deng +8 more
TL;DR: The results show that speed maintenance and lane deviations are significantly different under different levels of cognitive workload, and the effects of driving experience and gender groups are significant.