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Technology of Graphic & Image
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2209-2214

Online-updating monocular visual odometry

Wang Mingmin
Dian Songyi
Zhong Yuzhong
School of Electrical Engineering, Sichuan University, Chengdu 610065, China

Abstract

When training samples of existing deep learning-based visual odometry(VO) are different from application scenarios, it is difficult to adapt to the new environment. Therefore, this paper proposed an online updated monocular visual mileage calculation method(OUMVO). In the application stage, it optimized the pose estimation network model online by using the real-time image sequence, which improved the generalization ability of the network and the ability to apply to the new environment. At the same time, it utilized self-supervised learning method without the need to mark the ground truth. Moreover, it adopted Transformer to conduct sequential modeling of image streams to make full use of the visual information within the local window to improve the precision of the pose estimation in order to avoid the limitation that the traditional method could only use two adjacent frames to estimate the pose. It could also compensate for the shortcomings of using RNN for sequence modeling which could not be calculated in parallel. In addition, it used the geometric consistency constraint of the image space to solve the scale drift problem of the traditional monocular visual mileage calculation method. Quantitative and qualitative experimental results on the KITTI dataset show that the proposed method is superior to existing state-of-the-art monocular visual odometry methods in terms of pose estimation accuracy and adaptability to new environments.

Foundation Support

国家重点研发计划资助项目(2018YFB1307402)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0512
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Technology of Graphic & Image
Pages: 2209-2214
Serial Number: 1001-3695(2024)07-041-2209-06

Publish History

[2023-12-29] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

王铭敏, 佃松宜, 钟羽中. 一种在线更新的单目视觉里程计 [J]. 计算机应用研究, 2024, 41 (7): 2209-2214. (Wang Mingmin, Dian Songyi, Zhong Yuzhong. Online-updating monocular visual odometry [J]. Application Research of Computers, 2024, 41 (7): 2209-2214. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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