Algorithm performance comparison (ms/frame).

Algorithm performance comparison (ms/frame).

<div><p>Accurate localization is a critical technology for the application of intelligent robots and automation systems in complex indoor environments. Traditional visual SLAM (Simultaneous Localization and Mapping) techniques often face challenges with localization accuracy in high simi...

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Bibliographic Details
Main Author: Zhuoheng Xiang (20485194) (author)
Other Authors: Jiaxi Guo (13866917) (author), Jin Meng (129380) (author), Xin Meng (140656) (author), Yan Li (23143) (author), Jonghyuk Kim (13202580) (author), Shifeng Wang (364106) (author), Bo Lu (241075) (author), Yu Chen (29959) (author)
Published: 2024
Subjects:
Cancer
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
tum f3 loh
traditional visual slam
high similarity scenes
complex indoor environments
bicocca indoor datasets
bicocca indoor dataset
00 %, respectively
visual slam technology
system &# 8217
experimental results show
detection accuracy rates
67 %, 72
72 %,
lip6 indoor
system practicality
experimental bases
critical technology
localization accuracy
average accuracy
trajectory error
simultaneous localization
significantly lower
proposed algorithm
paper proposes
new direction
intelligent robots
feature extraction
detailed comparison
automation systems
approximate 18
accurate localization
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