Urban road users detection and velocity estimation from top-view fish-eye imagery under low light conditions-Reference-Cited by-同舟云学术

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Urban road users detection and velocity estimation from top-view fish-eye imagery under low light conditions

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Shireen Ansarnia Masoomeh¹,Tisserand Etienne¹,Tremeau Alain²,Schweitzer Patrick¹

Affiliation:

1. Université de Lorraine-CNRS,Institut Jean Lamour,Nancy,France

2. ECLATEC,Maxeville,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968642.pdf?arnumber=9968642

Reference20 articles.

1. Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison

2. Vision-based vehicle speed estimation: A survey;fernández-llorca;IET Intell Transp Syst,2021

3. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

4. Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

5. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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