合作者关系

[中文专利] 分体式飞行汽车线控底盘及其多操纵输入决策控制方法

发明人：杨超，王伟达，马泰恒，张宇航，孙同林，胡彪，李颖，岳兴，项昌乐，向真，昌磊

申请日期：2022.07.04

摘要：本发明提供分体式飞行汽车线控底盘及其多操纵输入决策控制方法，当线控底盘开机上电后，进行结构检测；若座舱与线控底盘挂载则会进入座舱检测模式，未挂载则会进入遥控器检测模式；座舱检测模式中若座舱急停摁钮触发则会进入紧急模式，未触发继续检测座舱控制摁钮是否触发；未触发则会进入遥控器检测模式，触发则会进入座舱 ...

[中文专利] 飞行汽车(分体式)

发明人：王伟达，岳兴，向真，徐彬，樊伟，昌磊

申请日期：2022.06.30

摘要：1.本外观设计产品的名称：飞行汽车(分体式)。;2.本外观设计产品的用途：本外观设计主要用作交通工具。;3.本外观设计产品的设计要点：在于形状。;4.最能表明设计要点的图片或照片：立体图1。

[中文专利] 一种分体式飞行车辆鸟瞰图实时拼接及车位检测方法

发明人：王伟达，万成麟，李颖，杨超，岳兴，项昌乐

申请日期：2022.06.21

摘要：本发明公开了一种分体式飞行车辆鸟瞰图实时拼接及车位检测方法，对环视鱼眼相机图像数据，进行相机内外参的标定，得到鱼眼相机的内参、畸变向量和单应性变换矩阵；对去畸变的图像数据，进行环视相机鸟瞰图拼接处理，得到以飞行车辆为中心的鸟瞰图；基于环视相机鸟瞰图拼接的结果，利用基于深度学习的方法，将拼接的鸟瞰图送 ...

[中文专利] 分体式飞行车辆多模块间实时视觉识别定位方法及系统

发明人：王伟达，吴凌云，李颖，杨超，岳兴，项昌乐

申请日期：2022.07.27

摘要：本发明公开了分体式飞行车辆多模块间实时视觉识别定位方法及系统，对图像数据，进行相机内外参的标定，得到相机的内外参和尺度变换矩阵；对图像数据，进行图像预处理，得到阈值化灰度图像；然后进行轮廓提取、四边形筛选、透视变换和内部编码识别处理，得到带有标记及角点坐标的正面视图；然后进行边缘细化处理，得到高定位 ...

[外文期刊] SIND: A Drone Dataset at Signalized Intersection in China EI

作者：Xu, Yanchao;Shao, Wenbo;Li, Jun;Yang, Kai;Wang, Weida;Huang, Hua;Lv, Chen;Wang, Hong （¹The School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;²The School of Vehicle and Mobility, Tsinghua University, Beijing, China;³The Nanyang Technological University, Singa, Singapore;⁴College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China）

出处：arXiv 2022

摘要：Intersection is one of the most challenging scenarios for autonomous driving tasks. Due to the complexity and stochasticity, essential applications (e ...

[外文期刊] A multi-objective optimization energy management strategy for power split HEV based on velocity prediction SCIE EI

作者：Wang, Weida;Guo, Xinghua;Yang, Chao;Zhang, Yuanbo;Zhao, Yulong;Huang, Denggao;Xiang, Changle （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, 401122, China;³CATARC Yangzhou Automotive Engineering Research Institute Company Limited, Yangzhou, 225000, China）

出处：Energy 2022

关键词：STORAGE SYSTEM;HYBRID;MODE

摘要：Under the complicated driving conditions, the sharp acceleration and deceleration actions would cause the high-rate charge and discharge current of el ...

[外文期刊] Design of a deep inference framework for required power forecasting and predictive control on a hybrid electric mining truck SCIE EI

作者：Yan, Qingdong;Chen, Xiuqi;Jian, Hongchao;Wei, Wei;Wang, Weida;Wang, Heng （¹National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, 100081, China;²Institute of Advanced Technology, Beijing Institute of Technology, Jinan, 250307, China;³China North Vehicle Research Institute, Beijing, 100072, China;⁴College of Electronic Engineering, Beijing University of Posts and Communications, Beijing, 100876, China）

出处：Energy 2022

关键词：ENERGY MANAGEMENT;DRIVING CYCLE;STRATEGY;SELECTION;LASSO;NET

摘要：Accurate required power forecasting is critical to ensure the recharge mileage and to optimize the energy utilization of heavy-duty vehicles. This pap ...

[外文期刊] Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment SCIE EI

作者：Chen, Jiaxin;Shu, Hong;Tang, Xiaolin;Liu, Teng;Wang, Weida （¹College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China;²Department of Mechanical and Mechatronics Engineering, University of Waterloo, N2L 3G1, ON, Canada;³School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China）

出处：Energy 2022

关键词：ENERGY MANAGEMENT;ELECTRIC VEHICLES;MODEL;STRATEGY

摘要：Aiming at promoting the intelligent development of control technology for new energy vehicles and showing the outstanding advantages of deep reinforce ...

[外文期刊] An adaptive firework algorithm optimization-based intelligent energy management strategy for plug-in hybrid electric vehicles SCIE EI

作者：Yang, Chao;Liu, Kaijia;Jiao, Xiaohong;Wang, Weida;Chen, Ruihu;You, Sixiong （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²School of Electrical Engineering, Yanshan University, 066004, Hebei, China;³School of Aeronautics and Astronautics, Purdue University, 47906, IN, United States）

出处：Energy 2022

摘要：To enhance the energy management strategy (EMS) effect on improving the fuel economy of plug-in hybrid electric vehicle (PHEV), the method of optimizi ...

[外文期刊] Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning SCIE EI

作者：Tang, Xiaolin;Zhou, Haitao;Wang, Feng;Wang, Weida;Lin, Xianke （¹College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China;²School of Economics and Business Administration, Institution of Energy Economics, Chongqing University, Chongqing University, Chongqing, 400044, China;³Schoolof Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;⁴Department of Automotive, Mechanical and Manufacturing Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, Canada）

出处：Energy 2022

关键词：POWER MANAGEMENT;OPTIMIZATION;ALGORITHM;LIFETIME;DESIGN

摘要：Deep reinforcement learning-based energy management strategy play an essential role in improving fuel economy and extending fuel cell lifetime for fue ...