Computer Vision in Vehicle Technology-Reference-Cited by-同舟云学术

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Computer Vision in Vehicle Technology

Published:2017-02-28 Issue: Volume: Page:
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Author:

López Antonio M.¹,Imiya Atsushi²,Pajdla Tomas³,Álvarez Jose M.⁴

Affiliation:

1. Computer Vision Center (CVC) and Universitat Autònoma de Barcelona; Spain

2. Chiba University; Japan

3. Czech Technical University; Czech Republic

4. National Information Communications Technology Australia (NICTA); Canberra Research Laboratory; Australia

Publisher

John Wiley & Sons, Ltd

Cited by 9 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. Visual sensing on marine robotics for the 3D documentation of Underwater Cultural Heritage: A review;Journal of Archaeological Science;2024-06

2. Target recognition and segmentation in turbid water using data from non-turbid conditions: a unified approach and experimental validation;Optics Express;2024-05-20

3. Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models;Oceanologia;2024-04

4. UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations;Autonomous Robots;2023-09-22

5. An innovative road traffic control prediction with multi-vehicle movement detection based on novel LSTM machine learning compared with BRNN;INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings;2023

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