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自动化研究所 [15]

清华大学 [6]

深圳先进技术研究院 [5]

山东大学 [5]

沈阳自动化研究所 [5]

武汉理工大学 [3]

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	Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705 作者: Ye, Peijun; Qi, Hao; Zhu, Fenghua; Lv, Yisheng 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/26 Safe driving reinforcement learning counter factual reasoning evolutionary search
	FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022 作者: Wang, HaiTao; Chen, Jie; Huang, ZhiXiang; Li, Bing; Lv, JianMing 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/12/23 Transformers Vehicles Feature extraction Convolutional neural networks Accidents Roads Convolution Vision transformer distraction detection deep learning residual embedding driving safety
	A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022 作者: Li, Bing; Chen, Jie; Huang, Zhixiang; Wang, Haitao; Lv, Jianming 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/12/23 Vehicles Accidents Feature extraction Deep learning Data models Convolutional neural networks Computational modeling Unsupervised deep learning driver distraction fine-grained comparative learning stop-gradient multilayer perceptron
	Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Lu, Chao; Lv, Chen; Gong, Jianwei; Wang, Wenshuo; Cao, Dongpu 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/06/10 Vehicles Adaptation models Data models Hidden Markov models Knowledge transfer Transfer learning Training Driver behaviour driver model adaptation transfer learning importance weight
	Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-Control for Intelligent Vehicles 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1658-1672 作者: Hong Mo; Yinghui Meng; Fei-Yue Wang; Dongrui Wu 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/08/19 Adaptive cruise following-control (ACFC) feedforward + fuzzy proportion integration (PI) feedback (F+FPIF) type-2 fuzzy control variable time headway
	CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 12 作者: Li, Wenbo; Zeng, Guanzhong; Zhang, Juncheng; Xu, Yan; Xing, Yang 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/01/27 Emotion recognition Feature extraction Cognitive processes Face recognition Task analysis Information processing Convolutional neural networks Affective computing driver emotion facial expression human-machine interaction (HMI) smart cockpit
	Research on dynamic taxi ride-sharing price model 会议论文 Virtual, Nanchang, China, May 15, 2020 - May 17, 2020 作者: Xu, Shun; Yin, Changlong; Zhang, Qirui 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/12/18 Competition Taxicabs Tourism industryDriving conditions Dynamic request Dynamic sharing Floyd algorithm Optimal solutions Pricing models Rate balancing Shortest path
	Mechanism and Position Tracking Control of a Robotic Manipulator Actuated by the Tendon-Sheath 期刊论文 JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 卷号: 100, 期号: 3-4, 页码: 849–862 作者: Yin M(尹猛); Xu ZG(徐志刚); Zhao ZL( 赵志亮); Wu HT(吴浩廷) 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/09/12 Tendon-sheath transmission Robotic manipulator Position tracking Fuzzy PID control Time-delay estimation
	Determination of noise index of piezoelectric ceramic drive system based on coupled electro-mechanical model 会议论文 Hong Kong, China, 2019-07-08 作者: Wang, Xuan; Su, Xiuqin; Liu, Guizhong; Han, Junfeng; Yu, Tingting 收藏 \| 浏览/下载：49/0 \| 提交时间：2019/11/28 Piezoelectric ceramic driver noise index coupledelectro-mechanical
	Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 6, 页码: 5379-5390 作者: Xing, Yang; Lv, Chen; Wang, Huaji; Cao, Dongpu; Velenis, Efstathios 收藏 \| 浏览/下载：55/0 \| 提交时间：2019/09/30 Driver behavior driver distraction convolutional neural network transfer learning

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