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10 August 2023 Dual-vehicle co-working system based on OpenMV
Bingqi Du, Hanlin Cai
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Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 1275939 (2023) https://doi.org/10.1117/12.2686812
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
The dual-vehicle system uses TI's 32-bit high performance, low-cost, low-power MSP432P401R as a control kernel to design a car-following system for a given multitasking situation. The vehicles have a controllable speed in this system, follow the track, and are capable of performing multiple tasks in conjunction with each other. The main body of the vehicle includes an encoder to obtain the current wheel speed, a greyscale detector, an OpenMV to obtain the track information, and an ultrasound distance measurement module to control the vehicle distance. In addition, the dual vehicles communicate with each other through Bluetooth modules to ensure that the vehicle tracking system can start and stop nearly simultaneously. During the driving process, both cars can smoothly follow the black track and perform the corresponding tasks of overtaking and parking. This system meets the requirements of design and the operation process shows excellent performance.
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Bingqi Du and Hanlin Cai "Dual-vehicle co-working system based on OpenMV", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 1275939 (10 August 2023); https://doi.org/10.1117/12.2686812
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KEYWORDS
Distance measurement
Design and modelling
Ultrasonography
Sensors
Control systems
Wireless communications
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