Coarse‐to‐fine 3D road model registration for traffic video augmentation-Reference-Cited by-同舟云学术

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Coarse‐to‐fine 3D road model registration for traffic video augmentation

Published:2020-09-14 Issue:12 Volume:14 Page:2690-2700
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Cui Zhichao¹²,Li Yaochen³,Zhang Chi¹,Liu Yuehu¹,Ren Fuji²

Affiliation:

1. College of Artificial Intelligence, Xi'an Jiaotong UniversityXi'anShaanxi710049People's Republic of China

2. School of Advanced Technology and Science, Tokushima UniversityTokushimaJapan

3. School of Software Engineering, Xi'an Jiaotong UniversityXi'anPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1036

Reference43 articles.

1. Self-Validation for Automotive Visual Odometry

2. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

3. Combining points and lines for camera pose estimation and optimization in monocular visual odometry

4. Vision based vehicle relocalization in 3D line-feature map using Perspective-n-Line with a known vertical direction

5. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

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1. A novel polynomial-based algebraic method for non perspective-three-line problem;Measurement;2024-05

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