Vehicle Detection and Localization for Intelligent Transportation Systems

Citation

Bakhuraisa, Yaser A. and Abd. Aziz, Azlan and Tan, Kim Geok (2023) Vehicle Detection and Localization for Intelligent Transportation Systems. In: 1st FET PG Engineering Colloquium Proceedings 2023, 16 June - 15 July 2023, Multimedia University, Malaysia. (Submitted)

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Abstract

Accurate vehicle localization is essential for Connected and Automated Vehicle (CAV). In this research we are going to propose a geometric based localization technique to localize vehicle in urban environment. In particular, we propose an effective method for identifying the type of the multipath based on supervised learning techniques. Then, a geometricbased localization method will be presented.

Item Type: Conference or Workshop Item (Poster)
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 15 Aug 2023 01:52
Last Modified: 15 Aug 2023 01:52
URII: http://shdl.mmu.edu.my/id/eprint/11627

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