Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR-Reference-Cited by-同舟云学术

Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR

Published:2023-09 Issue:9 Volume:24 Page:9476-9489
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Bai Zhengwei¹^ORCID,Nayak Saswat P.¹^ORCID,Zhao Xuanpeng¹^ORCID,Wu Guoyuan¹^ORCID,Barth Matthew J.¹^ORCID,Qi Xuewei²^ORCID,Liu Yongkang²,Sisbot Emrah Akin²,Oguchi Kentaro²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California at Riverside, Riverside, CA, USA

2. Toyota Motor North America, Research and Development Labs, InfoTech Labs, Mountain View, CA, USA

Funder

Toyota Motor North America InfoTech Labs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10235283/10120632.pdf?arnumber=10120632

Reference50 articles.

1. Statistic and knowledge-based moving object detection in traffic scenes

2. Object detection in 20 years: A survey;zou;arXiv 1905 05055,2019

3. Object Detection Using Deep Learning Methods in Traffic Scenarios

4. Optical flow based moving object detection and tracking for traffic surveillance;aslani;Int J Elect Comput Energetic Electron Commun Eng,2013

5. Background Filtering and Object Detection With a Stationary LiDAR Using a Layer-Based Method

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