电信科学 ›› 2020, Vol. 36 ›› Issue (4): 53-60.doi: 10.11959/j.issn.1000-0801.2020133

• 专题:车联网与安全 • 上一篇    下一篇

面向安防场景的智能网联巡逻车关键技术及应用

刘玉超1,李子月1,2   

  1. 1 一体化指挥调度技术国家工程实验室,北京 100080
    2 南京航空航天大学自动化学院导航研究中心,江苏 南京 211106
  • 修回日期:2020-04-08 出版日期:2020-04-20 发布日期:2020-04-24
  • 作者简介:刘玉超(1980- ),男,博士,一体化指挥调度技术国家工程实验室主任、高级工程师,主要研究方向为人工智能、智能驾驶、指挥调度|李子月(1986- ),男,一体化指挥调度技术国家工程实验室技术总监,南京航空航天大学自动化学院导航研究中心博士生,主要研究方向为智能驾驶、数据融合、组合导航

Key technology and application of intelligent connected patrol vehicles for security scenario

Yuchao LIU1,Ziyue LI1,2   

  1. 1 National Engineering Laboratory for Integrated Command and Dispatch Technology,Beijing 100080,China
    2 Navigation Research Center,College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
  • Revised:2020-04-08 Online:2020-04-20 Published:2020-04-24

摘要:

结合行业场景的实践应用,是当前人工智能技术普遍面临的问题。面向安防应用场景,研究无人驾驶技术的实践落地——智能网联巡逻车。感知系统集成了视觉、雷达、惯性导航等多种传感器,利用人工智能、数据融合等关键技术实现对平台本体、道路环境及目标行为的准确识别。将人类经验(human intelligence, HI)的场景认知和人工智能(artificial intelligence,AI)的计算认知相结合,构建面向安防场景的混合智能认知系统。基于“人在回路”系统架构,依托5G通信、V2X(vehicle to everything)、边缘计算等技术,将自动驾驶和指挥调度融合,设计了人、机器、环境之间等多种交互模式,保证了系统安全、可靠、稳定运行,大幅提高工作效率。

关键词: 自动驾驶, 指挥调度, 5G, 混合智能, 人机交互

Abstract:

Practical applications combined with industry scene is a common problem in the present artificial intelligence technology.Facing the security application scenario,the practice landing of unmanned technology -- intelligent connected patrol vehicle was studied.Integrating different sensors such as camera,LiDAR,inertial navigation system (INS),etc,the awareness system can accurately identify the platform itself,road conditions and target behavior using key technology such as artificial intelligence (AI),data fusion.Combining human intelligence (HI) in scene cognition of human experience and artificial intelligence (AI) in cognition of computing,a hybrid intelligent cognitive system using to security scene was built.Based on human in the loop system architecture and technology such as 5G ,vehicle to everything (V2X),edge computing,etc,different interactions between human ,machine and environment were designed,which ensured the safe and reliable operation of the system and increased the work efficiency by a wide margin.

Key words: automatic driving, command and dispatch, 5G, hybrid intelligence, human-machine interaction

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