作者： 李颖^1,2;，王荣煊¹;，万成麟¹;，王伟达^1,2;，杨超^1,2;，徐彬^1,2; （¹北京理工大学机械与车辆学院；²北京理工大学重庆创新中心）

出处： 机械工程学报 2024 第60卷 第10期 P102-111

关键词： 分体式飞行汽车；环境感知；传感器标定与算法测试

摘要： 飞行汽车能够根据道路与天气情况在地面行驶和空中飞行两种模式之间进行切换，对提升交通效率、适应复杂地形及降低交通设施成本具有重要意义。分体式飞行汽车由电动垂直起降飞行器、智能操控座舱和自动驾驶底盘三个独立模块构成，具备地面无人行驶与空中自主飞行两种模式。首先，基于分体式飞行汽车自动驾驶、多模块自主对接 ...

作者： 杨超，杨帆，王伟达，郄天琪，王彦松，王宏伟 （北京理工大学机械与车辆学院；北京理工大学长三角研究院(嘉兴)）

出处： 汽车工程 2024 第6期

关键词： 智能驾驶；决策规划；风险评估；行车风险场

摘要： 为完善复杂道路场景下智能驾驶车辆的碰撞风险评估方法，实时生成有效避险轨迹，本文提出了一种基于时空风险的智能驾驶车辆避险决策规划方法。首先，采用时空耦合的多域风险度量作为评估指标，监督智能驾驶车辆横纵向碰撞风险，同时实时监测行车风险指标变化，通过与典型避险场景风险数据库间的相关性分析，判断潜在碰撞风险 ...

作者： YANG Chao，SUN TongLin，YANG LiuQuan，ZHANG YuHang，WANG WeiDa （School of Mechanical Engineering，Beijing Institute of Technology）

出处： Science China(Technological Sciences) 2024 第67卷 第4期 P1253-1269

摘要： Braking energy recovery（BER） aims to recover the vehicle’s kinetic energy by coordinating the motor and mechanical braking torque to extend the drivin ...

作者： 张庚，杨超，王伟达，李颖 （北京理工大学）

出处： 汽车工程学报 2024 第14卷 第1期 P1-13

关键词： 自动驾驶；同步定位与建图；激光雷达；前端里程计；后端优化；回环检测

摘要： 同步定位与建图（Simultaneous Localization and Mapping,SLAM）技术可使自动驾驶车辆在未知环境中根据车载传感器采集到的数据估计自身位姿，建立环境地图，为车辆的规划、决策提供定位信息，是近年来自动驾驶技术研究的热点之一。基于车载激光雷达的点云数据，聚焦SLAM技术 ...

作者： Zhao,Jing¹²;Wang,Weida¹²;Yang,Chao¹²;Li,Ying¹²;Yang,Liuquan¹²;Cheng,Jiankang³; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, 401122, China;³National Automobile Quality Inspection and Testing Center, Hubei, Xiangyang, 441004, China）

出处： Engineering Applications of Artificial Intelligence 2024 Vol.127

摘要： With excellent air-ground multi-mode movements, the vertical take-off and landing (VTOL) air-ground integrated vehicle can easily traverse complex ter ...

作者： Yang, Chao¹; Du, Xuelong¹; Wang, Weida¹; Yuan, Lijuan²; Yang, Liuquan¹ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100084, China;²Department of Mechanical Engineering, North China University of Water Conservancy and Electric Power, Zhengzhou; 450008, China）

出处： Energy 2024

作者： Yang, Chao^{1, 2}; Yang, Fan¹; Wang, Weida^{1, 2}; Qie, Tianqi¹; Wang, Yansong¹; Wang, Hongwei² （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing; 314000, China）

出处： Qiche Gongcheng/Automotive Engineering 2024 Vol.46 No.6 P975-984

作者： Yifan Chen¹;Liuquan Yang¹;CA1;Chao Yang^1,2;Weida Wang^1,2;Mingjun Zha¹;Pu Gao^1,2;Hui Liu^1,2; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100084, China;²Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, 401122, China）

出处： Energy 2024 Vol.307 P132643

摘要： For series hybrid electric vehicles, due to the limitation of engine operating characteristics, speed regulation is usually performed using discrete o ...

作者： Shuo Cheng¹;Hao-Nan Peng²;Chao Yang³;Wei-Da Wang³;Liang Li⁴; （¹Institute of Industrial Science, University of Tokyo, Tokyo, Japan ²Security Research Institute, China Academy of Industrial Internet, Beijing, China ³School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China ⁴State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China）

出处： IEEE Transactions on Systems, Man, and Cybernetics: Systems 2024 Vol.54 No.1 P578-587

关键词： Vehicle dynamics;Wheels;Tires;Dynamics;Stability analysis;Centralized control;Force

摘要： Vehicle chassis coordinated control always has been an appealing topic in academia and industry because of the increasing number of chassis electronic ...

作者： Tianqi Qie^1,2;Weida Wang^1,2;Chao Yang^1,2;Ying Li^1,2; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China ²Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China）

出处： IEEE Transactions on Industrial Informatics 2024 Vol.20 No.4 P6708-6717

关键词： Autonomous vehicles;Trajectory;Vehicle dynamics;Logic gates;Target tracking;Predictive models;Hidden Markov models;Long Short-term Memory;Autonomous Vehicles;Mean Square Error;Prediction Accuracy;Short-term Memory;Prediction Methods;Types Of Pain;Prediction Horizon;Vehicle Dynamics;Actual Dataset;Trajectory Prediction;Vehicle Motion;Vehicle Trajectory;Distributed Architecture;Closed-loop Dynamics;Actual Vehicle;General Motion;Long Short-term Memory Method;Vehicle Control;Control Unit;Longitudinal Control;Lateral Control;Long Short-term Memory Unit;Steering Angle;Physics-based Methods;Vehicle State;Long Short-term Memory Network;Long Short-term Memory Architecture;Path Planning;Temporal Dependencies

摘要： Vehicle trajectory prediction plays a crucial role in ensuring the driving safety of autonomous vehicles in complex traffic scenes. To accurately pred ...