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Autonomous Detection Vehicle Based on LiDAR and Visual Image Transmission

Yirui Pan, Qian Shao

Abstract


In complex environments, search and rescue operations often face numerous challenges. This article designs an autonomous detection vehicle equipped with LiDAR and visual image transmission technology, which will be an important means to improve search and
rescue efficiency and safety. The vehicle is equipped with Mecanum wheels, LiDAR modules, high-definition cameras, and wireless image
transmission modules. The Mecanum wheel enables the vehicle to move in all directions and rotate in place, thereby enhancing its flexibility in narrow spaces. The high scanning frequency LiDAR module installed on the vehicle can achieve fast and high-precision measurement of the surrounding environment, providing reliable data support for autonomous navigation of the detection vehicle. By designing a
right-hand rule path search algorithm, the detection vehicle can intelligently avoid dangerous areas. In addition, the combination of highdefinition cameras and wireless image transmission modules enables the detection vehicle to transmit the captured images in real time to
the AR glasses of search and rescue personnel during the search path, significantly enhancing the intuitiveness and effectiveness of search
and rescue operations.

Keywords


Body motion recognition; Depth first; Path search; LiDAR

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References


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DOI: http://dx.doi.org/10.70711/aitr.v2i8.6623

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