Pedestrian detection and ranging based on edge computing

Wanpeng Huang; Xinlong Qi; Jinlong Wen

doi:10.1117/12.2639731

19 October 2022 Pedestrian detection and ranging based on edge computing

Wanpeng Huang, Xinlong Qi, Jinlong Wen

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122944R (2022) https://doi.org/10.1117/12.2639731
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

For the realization of low-power intelligent assisted driving systems, we design and implement a real-time pedestrian detection and ranging system for the embedded edge device Raspberry Pi using deep learning and binocular stereo vision. It has been verified by experiments that the system is feasible and can meet the real-time and precise requirements within a certain range.

Citation Download Citation

Wanpeng Huang, Xinlong Qi, and Jinlong Wen "Pedestrian detection and ranging based on edge computing", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122944R (19 October 2022); https://doi.org/10.1117/12.2639731

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