Ol-slam: a robust and versatile system of object localization and slam

HIGHLIGHTS

  • who: Chao Chen and collaborators from the Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China have published the research work: OL-SLAM: A Robust and Versatile System of Object Localization and SLAM, in the Journal: Sensors 2023, 23, 801. of /2023/
  • what: The authors propose a high-precision, high-robust multi-sensor fusion online SLAM system; The authors propose an online target-tracking and localization system based on SLAM results to meet the needs of various natural complex scenes; The authors describe how to alleviate cumulative drift using global pose graph optimization. The . . .

     

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