A scene flow estimation method based on fusion segmentation and redistribution for autonomous driving-Reference-Cited by-同舟云学术

A scene flow estimation method based on fusion segmentation and redistribution for autonomous driving

Published:2022-10-17 Issue: Volume: Page:
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Hu Fuzhi¹,Zhang Zili²,Hu Xing³^ORCID,Chen Tingting³,Guo Hai¹,Quan Yue¹,Zhang Pingjuan¹

Affiliation:

1. School of Electrical and Electronic Engineering, Anhui Science and Technology University No.1501 Huangshan Dadao Road Bengbu Anhui 233000 China

2. School of Computer Science and Technology Huazhong University of Science and Technology No. 1037, Luoyu Road, Hongshan Dist. Wuhan China

3. School of Optical‐Electrical and Computer Engineering, University of Shanghai for Science and Technology No. 516, Jungong Road Shanghai 200093 China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12373

Reference38 articles.

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3. Motion Estimation Using Region-Level Segmentation and Extended Kalman Filter for Autonomous Driving

4. Yang G. Ramanan D:Learning to segment rigid motions from two frames. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Nashville Tennessee pp.1266–1275(2021)

5. Behl A. Jafari O.H. Mustikovela S.K. et al.:Bounding Boxes segmentations and object coordinates: How important is recognition for 3D scene flow estimation in autonomous driving scenarios. In: Proceedings of the IEEE International Conference on Computer Vision.Honolulu HI pp.2593–2602(2017)

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