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Application of Automatic Obstacle Avoidance Unmanned Vehicle Based on Beidou and Inertial Navigation

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

Autonomous navigation unmanned vehicles based on Beidou+DR. The mature outdoor positioning system is used to control the patrol car movement, and the laser radar obstacle avoidance adaptive adaptive road environment and emergencies. Using RFID technology to add key patrol points for unmanned vehicles, planning the selection of special routes or multiple routes, RFID readers can count materials or key building signs during unmanned vehicle movement, and the maximum measurable distance is 10 m. Using a combination of various technologies to improve the navigation accuracy and practical application value of the unmanned vehicle; the positioning accuracy of the Beidou+DR navigation system can reach ±10 cm in the outdoor environment, and the positioning data is integrated with the actual vehicle chassis crawler speed through PID. The algorithm compensates for the error of the two tracks so that the unmanned vehicle can move exactly according to the route.

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Authors and Affiliations

  1. Beijing Zhixin Microelectronics Technology CO., Ltd., Beijing, 100085, China

    Pan Li, ZhengJiang Pang, LiZong Liu, Wei Meng & LiPing Zhang

Authors
  1. Pan Li
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  2. ZhengJiang Pang
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  3. LiZong Liu
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  4. Wei Meng
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  5. LiPing Zhang
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Corresponding author

Correspondence to Pan Li .

Editor information

Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Li, P., Pang, Z., Liu, L., Meng, W., Zhang, L. (2021). Application of Automatic Obstacle Avoidance Unmanned Vehicle Based on Beidou and Inertial Navigation. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_95

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