上海交通大学智慧信息融合无人系统研究中心依托上海交通大学电子信息与电气工程学院筹建，并拟联合世界一流的重型设备制造商、传感器供应商、工业场景方及标准制定方展开合作， 为上海交通大学首个专注大型机械设备的无人系统研究中心。
本中心围绕无人系统落地应用中的关键技术问题，致力于产研结合及数据算法算力综合考量的全栈无人系统解决方案，着力于系统化、可靠、精准、高效的无人系统感知层研发 ，聚焦传感器设计、环境感知解决方案、传感器信息融合算法、无人系统感知数据建模、目标识别与追踪定位、边缘硬件设备的工程应用，助力交通运输、生产制造 等相关行业的智能化升级。
2022/01
Autonomous driving (AD) poses unique challenges for vehicle environment perception system in complicated driving scenarios. Automotive radar systems, along with lidar and camera systems, are a major perception tool for driverless automation. Automotive radar has already existed as a must-have component in many advanced driver assistant systems (ADAS) and nowadays AD systems have a higher requirement for radar sensors to provide imaging like capabilities and carry out more comprehensive perception tasks. There are two major technical lessons learned in recently years on automotive radar systems for vehicle intelligence
2022/07
Tutorial: Multi Sensor and Data Fusion Approaches for Vehicular Automation ...
2023/01
Autonomous heavy machinery/logistics--including trucks, drones, and robots--should lower delivery costs and increase convenience.
2022/12
A. Lindquist 院士与会讨论认知分析的最新进展，并分享在上海交通大学的最新科研成果。
2022/06
袁博士与管晓宏院士和姚期智院士及西安图灵交叉学院研究者探讨AI工业应用及现状。
2022/12
袁博士参与讨论智能传感器设备的在无人系统中过去、现在及未来。
