DALi: Domain Adaptation in LiDAR Point Clouds for 3D Obstacle Detection-Reference-Cited by-同舟云学术

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DALi: Domain Adaptation in LiDAR Point Clouds for 3D Obstacle Detection

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Cortes Irene¹,Beltran Jorge¹,De La Escalera Arturo¹,Garcia Fernando¹

Affiliation:

1. Universidad Carlos III de Madrid, Leganés,Dept. of Systems Engineering and Automation,Madrid,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922408.pdf?arnumber=9922408

Reference22 articles.

1. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

2. Image-to-Image Translation with Conditional Adversarial Networks

3. Pixel and feature level based domain adaptation for object detection in autonomous driving

4. Cycada: Cycle-consistent adversarial domain adaptation;hoffman;Int Conference on Machine Learning,0

5. Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data

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1. Advanced Autonomous Navigation Technologies for UAVs: Challenges and Opportunities;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. Navigating the Future: AI Innovations for Intelligent Mobility in Smart Cities;SAE Technical Paper Series;2023-12-29

3. Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data;Sensors;2023-08-23

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