Enhancing Robot Self-Localization Accuracy and Robustness: A Variational Autoencoder-Based Approach
Author:
Affiliation:
1. Graduate School of Science and Engineering, Hosei University,Dept. of Mechanical Eng.,Tokyo,Japan
2. National Institute of Technology, Toyama College,Department of Electrical and Control Systems Engineering,Toyama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10444765/10444743/10444744.pdf?arnumber=10444744
Reference10 articles.
1. A Systematic Mapping Study on Multi-Sensor Fusion in Wheeled Mobile Robot Self-Localization
2. Vision/UWB/IMU sensor fusion based localization using an extended Kalman filter
3. Influence of wheel-terrain contact point information errors on the accuracy of three-dimensional space odometry using tactile wheels and gyros
4. GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
5. CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
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