Abstract
When using vehicles to hunt down criminal vehicles, the difficulty of chasing criminals is increased due to factors such as vision, surrounding environment and road conditions. In order to solve this problem, we have designed a real-time vehicle tracking system based on ROS. The system uses Pixhawk as the flight control platform in the hardware part. Its internal integrated attitude control module and altitude control module are mainly responsible for controlling the attitude of the aircraft to achieve the effect of stable flight of the aircraft. The GPS module is responsible for acquiring coordinate position data, so that the aircraft can achieve the fixed point effect. This system solves the problem that a processor has insufficient resources when processing relatively large data. Compared with using vehicles to chase criminal vehicles, this system can solve the problem of increasing the difficulty of chasing criminals due to factors such as visual field, surrounding environment and road conditions. This system greatly improves the pursuit efficiency.
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Acknowledgements
The authors are highly thankful to the Research Project for Young and Middle-aged Teachers in Guangxi Universities (ID: 2019KY0621), to the Natural Science Foundation of Guangxi Province (No. 2018GXNSFAA281164). This research was financially supported by the project of outstanding thousand young teachers’ training in higher education institutions of Guangxi, Guangxi Colleges and Universities Key Laboratory Breeding Base of System Control and Information Processing.
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Xu, Y., Peng, J., Ye, H., Zhong, W., Wei, Q. (2021). Design of Real-Time Vehicle Tracking System for Drones Based on ROS. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_186
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DOI: https://doi.org/10.1007/978-981-15-8462-6_186
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