Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments-Reference-Cited by-同舟云学术

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Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Onyekpe Uche,Palade Vasile,Kanarachos Stratis,Christopoulos Stavros-Richard G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9356100/9356131/09356239.pdf?arnumber=9356239

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Localization and Mapping for Self-Driving Vehicles: A Survey;Machines;2024-02-07

2. GPS-Aided Odometry Navigation for IARs: Comparison Between Loosely and Tightly Coupled Integrations Under Restricted Satellite Visibility Conditions;2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE);2023-10-09

3. Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

4. GPS-Aided Odometry Navigation for IAVs: An Assessment of Integration Topologies and Odometry Mounting Configurations;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22

5. Wheel Odometry with Deep Learning-Based Error Prediction Model for Vehicle Localization;Applied Sciences;2023-04-30

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