Visual SLAM algorithm based on dynamic feature elimination and dense mapping
Image Processing|更新时间:2025-05-13
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Visual SLAM algorithm based on dynamic feature elimination and dense mapping
“In dynamic scenes, the visual SLAM algorithm based on dynamic feature removal and dense mapping effectively improves localization accuracy and map quality.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 5, Pages: 727-739(2025)
作者机构:
陕西理工大学 机械工程学院, 陕西 汉中 723001
作者简介:
基金信息:
National Natural Science Foundation of China(62176146)
ZHANG Heng, WANG Lei, ZHANG Pengchang, et al. Visual SLAM algorithm based on dynamic feature elimination and dense mapping[J]. Chinese journal of liquid crystals and displays, 2025, 40(5): 727-739.
DOI:
ZHANG Heng, WANG Lei, ZHANG Pengchang, et al. Visual SLAM algorithm based on dynamic feature elimination and dense mapping[J]. Chinese journal of liquid crystals and displays, 2025, 40(5): 727-739. DOI: 10.37188/CJLCD.2024-0325. CSTR: 32172.14.CJLCD.2024-0325.
Visual SLAM algorithm based on dynamic feature elimination and dense mapping