mlsanityData to 7 Oct 2026

Visual Place Recognition

arXiv 2211.14533 ↗First posted 26 Nov 2022cs.CV cs.ROcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 26 Nov 2022.

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2 of 4 references.

References · 2

  1. 2019Scalable Place Recognition Under Appearance Change for Autonomous Drivingcited by 42
  2. 2017Place recognition: An Overview of Vision Perspectivecited by 2

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