Survey on Fish-Eye Cameras and Their Applications in Intelligent Vehicles-Reference-Cited by-同舟云学术

Survey on Fish-Eye Cameras and Their Applications in Intelligent Vehicles

Author:

Qian Yeqiang¹^ORCID,Yang Ming²^ORCID,Dolan John M.³^ORCID

Affiliation:

1. University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China

2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

3. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

2022 Open Project Program of Guangxi Key Laboratory of Automobile Components and Vehicle Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference134 articles.

2. PIINET: A 360-degree panoramic image inpainting network using a cube map;woo han;arXiv 2010 16003,2020

5. Semantic segmentation of fisheye images;blott;Proc Eur Conf Comput Vis (ECCV),2018

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