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	Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 17 作者: Wang, Fei-Yue; Lin, Yilun; Ioannou, Petros A.; Vlacic, Ljubo; Liu, Xiaoming 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/16 Intelligent transportation systems cyber-physical-social systems parallel intelligence knowledge automation DAOs transportation 5.0
	VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4198-4207 作者: Tian, Yonglin; Li, Xuan; Zhang, Hui; Zhao, Chen; Li, Bai 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/12/21 Transformers Task analysis Autonomous vehicles Planning Biological system modeling Navigation Automation Generative parallel transformers end-to-end driving transport automation large-language models federation of vehicular transformers scenario engineering
	Software-Defined Active LiDARs for Autonomous Driving: A Parallel Intelligence-Based Adaptive Model 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 8, 页码: 4047-4056 作者: Liu, Yuhang; Sun, Boyi; Tian, Yonglin; Wang, Xingxia; Zhu, Yin 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/11/16 Software-defined active LiDARs parallel intelligence adaptive sensing resources allocation
	Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3692-3711 作者: Teng, Siyu; Hu, Xuemin; Deng, Peng; Li, Bai; Li, Yuchen 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Motion planning pipeline planning end-to-end planning imitation learning reinforcement learning parallel learning
	Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216 作者: Li, Xuan; Teng, Siyu; Liu, Bingzi; Dai, Xingyuan; Na, Xiaoxiang 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Testing Safety Autonomous vehicles Roads ISO Standards Calibration Standards Scenarios engineering autonomous vehicles parallel intelligence simulation scenarios real-road testing
	Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2888-2898 作者: Wang, Xiao; Tang, Ke; Dai, Xingyuan; Xu, Jintao; Xi, Jinhao 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Trajectory Planning Trajectory planning Safety Predictive models Training Data models Autonomous vehicles trajectory planning social interactions uncertain circumstances
	An Intelligent Congestion Avoidance Mechanism Based on Generalized Regression Neural Network for Heterogeneous Vehicular Networks 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2712-2722 作者: Zhu, Yuxuan; Li, Zhiheng; Wang, Feiyue; Li, Li 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/17 Aerospace electronics Vehicle dynamics Trajectory Space vehicles Data models Intelligent vehicles Computational modeling Extreme operating conditions parallel learning vehicle testing
	Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831 作者: Lu, Jingwei; Han, Liyuan; Wei, Qinglai; Wang, Xiao; Dai, Xingyuan 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Autonomous vehicles Decision making Path planning Training Optimal control Deep learning Complex systems Autonomous driving deep reinforcement learning deep Q-network event-triggered control parallel control
	Parallel Training: An ACP-based Training Framework for Iterative Learning in Uncertain Driving Spaces 期刊论文 IEEE Transactions on Intelligent Vehicles, 2023, 页码: 10 作者: Jiangong Wang; Xiao Wang; Yonglin Tian; Yutong Wang; Jinglong Niu 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/06/25
	DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 837-854 作者: Zhenyu Li 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/23 Autonomous driving, 3D reconstruction, monocular depth estimation, Transformer, convolution

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