The rise in the number of accidents on the road due to human error is one of the major concerns of safety and has eventually paved way to the boom of autonomous vehicle industry. One of the most important features in automotive vehicles is the vehicle tracking which has led to the development of the automotive industry. Tracking of vehicles is one of the significant challenges faced in the automotive industry. Its main objective is to determine the exact path and direction of the vehicles. This project gives an elaborate view and understanding on why tracking in autonomous vehicles is an integral aspect of the industry. This project employs mean shift algorithm to construct a framework that is useful for single vehicle tracking. Carla simulator has been utilised for implementing pre image processing and also the distance of the obstacles from ego vehicle has been calculated. Further when mean shift algorithm was not helpful to track multiple obstacles, 8-point connectivity solved this issue. The successful implementation of multiple vehicle tracking has been done.
Multiple Vehicle Tracking Using Meanshift Algorithm and 8-point Connectivity
Lect. Notes in Networks, Syst.
International Conference on Soft Computing and Pattern Recognition ; 2022 December 14, 2022 - December 16, 2022
Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) ; Kapitel : 1 ; 3-13
28.03.2023
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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