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Visual Place Recognition

2022-11-26 10:09:18
Bailu Guo, Boyu Zhao, Zishun Zhou
arXiv_CV
     
Abstract

Visual position recognition affects the safety and accuracy of automatic driving. To accurately identify the location, this paper studies a visual place recognition algorithm based on HMM filter and HMM smoother. Firstly, we constructed the traffic situations in Canberra city. Then the mathematical models of the HMM filter and HMM smoother were performed. Finally, the vehicle position was predicted based on the algorithms. Experiment results show that HMM smoother is better than HMM filter in terms of prediction accuracy.

Abstract (translated)

URL

https://arxiv.org/abs/2211.14533

PDF

https://arxiv.org/pdf/2211.14533.pdf

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