With the progress of science and technology, unmanned fire truck system is playing an increasingly important role in forest fire fighting. This paper discusses the design and application effect of an unmanned fire truck system which integrates LiDAR, thermal imaging, machine vision, communication, positioning and other advanced technologies. These integrations enable the design to extinguish forest fires quickly and accurately. The system is capable of accurately locating fire sources through lidar and thermal imaging, enhancing flame identification through machine vision, facilitating real-time data transmission between the vehicle and the command center through communication technology, and ensuring accurate navigation of the vehicle through the positioning system.


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    Titel :

    Design of tracked intelligent unmanned fire truck system based on STM32


    Beteiligte:
    Zhao, Xiaofeng (Herausgeber:in) / Gao, Yachen (Herausgeber:in) / Qin, Danyang (Herausgeber:in) / Gao, Yuan (Herausgeber:in) / Yu, Shuju (Autor:in) / Zhuang, Peidong (Autor:in) / Li, Yuanmei (Autor:in)

    Kongress:

    International Conference on Advanced Imaging, Detection, and Signal Processing (AIDSP 2024) ; 2024 ; Harbin, China


    Erschienen in:

    Proc. SPIE ; 13693 ; 1369327


    Erscheinungsdatum :

    28.07.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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