Structure and Motion for Intelligent Vehicles Using an Uncalibrated Two-Camera System-Reference-Cited by-同舟云学术

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Structure and Motion for Intelligent Vehicles Using an Uncalibrated Two-Camera System

Published:2023-02 Issue:2 Volume:70 Page:1772-1782
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zhang Xinfang¹^ORCID,Chen Jian²^ORCID,Deng Jianqiang¹^ORCID,Wang Rong²^ORCID,Xiong Wenyi²^ORCID,Wang Qi¹^ORCID

Affiliation:

1. State Key Laboratory of Fluid Power and Mechatronic Systems, College of Control Science and Engineering, Zhejiang University, Hangzhou, China

2. State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Guangxi Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9913345/09749965.pdf?arnumber=9749965

Reference41 articles.

1. Adaptive Visual Servoing of Unmanned Aerial Vehicles in GPS-Denied Environments

2. Robot Visual Control

3. A Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation

4. Adaptive output feedback control of nonlinear systems represented by input-output models

5. Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel multi-camera differential binocular vision sensor;Optics & Laser Technology;2024-07

2. Vehicle state and parameter estimation based on improved extend Kalman filter;Journal of Measurements in Engineering;2023-10-30

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