Online glass confidence map building using laser rangefinder for mobile robots
Author:
Affiliation:
1. Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
2. Department of Mechanical and Intelligent Engineering, Utsunomiya University, Tochigi, Japan
Funder
JSPS KAKENHI
Okawa Foundation for Information and Telecommunications
Publisher
Informa UK Limited
Subject
Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2020.1819873
Reference26 articles.
1. Simultaneous localization and mapping: part I
2. Jia S , Yang H , Li X , et al. LRF-based data processing algorithm for map building of mobile robot. In: 2010 IEEE International Conference on Information and Automation (ICIA). IEEE; 2010. p. 1924–1929.
3. Identification of transparent and specular reflective material in laser scans to discriminate affected measurements for faultless robotic SLAM
4. Using occupancy grids for mobile robot perception and navigation
5. Foster P , Sun Z , Park JJ , et al. Visagge: visible angle grid for glass environments. In: 2013 IEEE International Conference on Robotics and Automation. IEEE; 2013. p. 2213–2220.
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1. Glass Recognition and Map Optimization Method for Mobile Robot Based on Boundary Guidance;Chinese Journal of Mechanical Engineering;2023-06-27
2. A Survey on Recent Reflective Detection Methods in Simultaneous Localization and Mapping for Robot Applications;2023 6th International Symposium on Autonomous Systems (ISAS);2023-06-23
3. The Reflectance Field Map: Mapping Glass and Specular Surfaces in Dynamic Environments;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
4. A Glass Detection Method Based on Multi-sensor Data Fusion in Simultaneous Localization and Mapping;Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022);2023
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