Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios-Reference-Cited by-同舟云学术

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Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios

Published:2017-09 Issue: Volume: Page:
ISSN:
Container-title:2017 European Conference on Mobile Robots (ECMR)
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Author:

Vaquero Victor,del Pino Ivan,Moreno-Noguer Francese,Sola Joan,Sanfeliu Alberto,Andrade-Cetto Juan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8090483/8098653/08098657.pdf?arnumber=8098657

Cited by 8 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

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2. Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications;Sensors;2023-07-03

3. Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs;Applied Intelligence;2022-05-07

4. Vehicle Tracking and Speed Estimation Using Deep Sort;2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS);2022-05

5. Vehicle Tracking and Trajectory Estimation for Detection of Traffic Road Violation;Advances in Intelligent Systems and Computing;2021-12-07

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