Probabilistic Object Maps for Long-Term Robot Localization-Reference-Cited by-同舟云学术

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Probabilistic Object Maps for Long-Term Robot Localization

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Adkins Amanda¹,Chen Taijing¹,Biswas Joydeep¹

Affiliation:

1. The University of Texas at Austin,Department of Computer Science,Austin,TX

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981316.pdf?arnumber=9981316

Reference29 articles.

1. Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

2. Probabilistic Data Association via Mixture Models for Robust Semantic SLAM

3. Gaussian process occupancy maps

4. Learning-Aided 3-D Occupancy Mapping With Bayesian Generalized Kernel Inference

5. Multimodal Semantic SLAM with Probabilistic Data Association

Cited by 3 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. Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Visual Localization and Mapping in Dynamic and Changing Environments;Journal of Intelligent & Robotic Systems;2023-12

3. Survey of maps of dynamics for mobile robots;The International Journal of Robotics Research;2023-08-03

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