Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching Using an Attention Graph Neural Network-Reference-Cited by-同舟云学术

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Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching Using an Attention Graph Neural Network

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Kannapiran Shenbagaraj¹,Bendapudi Nalin²,Yu Ming-Yuan³,Parikh Devarth²,Berman Spring¹,Vora Ankit²,Pandey Gaurav²

Affiliation:

1. School for Engineering of Matter, Transport and Energy, Arizona State University,Tempe,AZ,USA,85287

2. Ford Next LLC,Ann Arbor,MI,USA,48109

3. Qualcomm,Novi,MI,USA,48377

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341872.pdf?arnumber=10341872

Reference30 articles.

1. Ford Multi-AV Seasonal Dataset

2. 1 year, 1000 km: The Oxford RobotCar dataset

3. Object recognition from local scale-invariant features

4. SURF: Speeded Up Robust Features

5. ORB: An efficient alternative to SIFT or SURF

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