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  • Hansson, Anders, et al. (author)
  • Lane-Level Map Matching based on HMM
  • 2021
  • In: IEEE Transactions on Intelligent Vehicles. - 2379-8858. ; 6:3, s. 430-439
  • Journal article (peer-reviewed)abstract
    • Lane-level map matching is essential for autonomous driving. In this paper, we propose a Hidden Markov Model (HMM) for matching a trajectory of noisy GPS measurements to the road lanes in which the vehicle records its positions. To our knowledge, this is the first time that HMM is used for lanelevel map matching. Apart from GPS values, the model is further assisted by yaw rate data (converted to a lane change indicator signal) and visual cues in the form of the left and right lane marking types (dashed, solid, etc.). Having defined expressions for the HMM emission and transition probabilities, we evaluate our model to demonstrate that it achieves 95.1% recall and 3.3% median path length error for motorway trajectories.
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  • Result 1-1 of 1
Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Hansson, Anders (1)
Selpi, Selpi, 1977 (1)
Korsberg, Ellen (1)
Maghsood, Roza (1)
Nordén, Eliza (1)
University
Chalmers University of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Engineering and Technology (1)
Year
2021 (1)

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