Lidar-osm-based vehicle localization in gps-denied environments by using constrained particle filter

HIGHLIGHTS

• who: Mahdi Elhousni and collaborators from the Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA have published the paper: LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter, in the Journal: Sensors 2022, 22, 5206. of /2022/
• what: This research proposes a novel approach based on LiDAR point clouds and OpenStreetMaps (OSM) via a constrained particle filter which significantly improves the vehicle localization accuracy. In contrast, the authors propose to combine LiDAR with a widely available, free, and routinely updated map namely OpenStreetMaps (OSM) . The authors . . .
  

   

  

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