Road intersections vehicle tracking based on multi-layer graphs and multi-angle

Autor:	Huibin Yang, Xiangqian Liu, Xiwei Jia, Juan Yan
Rok vydání:	2021
Předmět:	Vehicle tracking system Computer science business.industry Mechanical Engineering Shortest path problem Aerospace Engineering Computer vision Artificial intelligence Tracking (particle physics) business Multi layer Motion flow
Zdroj:	Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 236:2386-2398
ISSN:	2041-2991 0954-4070
DOI:	10.1177/09544070211055536
Popis:	Aiming at the problem of tracking uncertain vehicle motion flow at intersections, a method based on multi-level graphs and multi-angle is proposed. Firstly, each motion flow is assigned to different layers with diverse neighborhoods by using the constructed multi-layer graphs. Secondly, all multi-layer graphics under multi-angle views are mapped to the selected main view. Finally, the vehicle tracking is realized by solving the shortest path of the mapping main view motion flow. Through the experiment and analysis of vehicle tracking at intersections, the results show that this method can effectively predict vehicle trajectory for uncertain vehicle flow at intersections, and the misjudgment rate between tracking effect and the real situation on the ground is less than 6%, which can provide a new method for vehicle tracking in intelligent transportation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f19a191852ceb01e551cd71b2b9d7428 https://doi.org/10.1177/09544070211055536 Zobrazit plný text záznamu