Hierarchical End-to-End Autonomous Navigation Through Few-Shot Waypoint Detection-Reference-Cited by-同舟云学术

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Hierarchical End-to-End Autonomous Navigation Through Few-Shot Waypoint Detection

Published:2024-04 Issue:4 Volume:9 Page:3211-3218
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Ghafourian Amin¹^ORCID,CuiZhu Zhongying²^ORCID,Shi Debo³^ORCID,Chuang Ian⁴^ORCID,Charette Francois²^ORCID,Sachdeva Rithik³^ORCID,Soltani Iman¹^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA

2. Ford Motor Company, Palo Alto, CA, USA

3. Department of Electrical and Computer Engineering, University of California, Davis, CA, USA

4. Department of Computer Science, University of California, Davis, CA, USA

Funder

Ford Motor Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10440130/10433735.pdf?arnumber=10433735

Reference37 articles.

1. A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping

2. A review of visual SLAM methods for autonomous driving vehicles

3. Deep Learning-Based Landmark Detection for Mobile Robot Outdoor Localization

4. A CNN-Based System for Mobile Robot Navigation in Indoor Environments via Visual Localization with a Small Dataset

5. Map-Matching-Based Cascade Landmark Detection and Vehicle Localization

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