Indoor localization method for mobile robots based on Monte Carlo Localization

Author:

Zhang Mengxuan1ORCID,Su Zhibao1ORCID

Affiliation:

1. North China Vehicle Research Institute, China and China North Artificial Intelligent & Innovation Research Institute, China

Publisher

ACM

Reference12 articles.

1. A Robust Indoor Localization System Integrating Visual Localization Aided by CNN-Based Image Retrieval with Monte Carlo Localization

2. Maggio D, Abate M, Shi J, Loc-nerf: Monte carlo localization using neural radiance fields[C]//2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023: 4018-4025.

3. Wasisto I, Istiqomah N, Trisnawan I K N, Implementation of mobile sensor navigation system based on adaptive Monte Carlo localization[C]//2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2019: 187-192.

4. Self-adaptive Monte Carlo method for indoor localization of smart AGVs using LIDAR data

5. Saarinen J, Andreasson H, Stoyanov T, Normal distributions transform Monte-Carlo localization (NDT-MCL)[C]//2013 IEEE/RSJ international conference on intelligent robots and systems. IEEE, 2013: 382-389.

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