Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors-Reference-Cited by-同舟云学术

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Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 26th International Conference on Information Fusion (FUSION)
language:
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Author:

Betntorp Karl¹,Greiff Marcus¹,Cairano Stefano Di¹,Miraldo Pedro¹

Affiliation:

1. Mitsubishi Electric Research Labs (MERL),Cambridge,MA,USA,02139

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223725/10224076/10224204.pdf?arnumber=10224204

Reference26 articles.

1. Multi-Agent Collaborative GNSS/Camera/INS Integration Aided by Inter-Ranging for Vehicular Navigation in Urban Areas

2. Tire Radii Estimation Using a Marginalized Particle Filter

3. Tire-Stiffness and Vehicle-State Estimation Based on Noise-Adaptive Particle Filtering

4. Automated driving: The role of forecasts and uncertainty—A control perspective

5. Joint Wheel-Slip and Vehicle-Motion Estimation Based on Inertial, GPS, and Wheel-Speed Sensors

Cited by 2 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. Distributed Road-Map Monitoring Using Onboard Sensors;2024 American Control Conference (ACC);2024-07-10

2. Variational Bayes Kalman Filter for Joint Vehicle Localization and Road Mapping Using Onboard Sensors;2024 European Control Conference (ECC);2024-06-25

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