In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 7

Monocular 3d detection based on self-learning region selection and edge focus

Wang Xinwei1
Zhang Youbing1,2
Zhou Kui1
1. Sharing-X Mobile Service Technology Platform Joint Laboratory, School of Automotive Engineering, Hubei Automotive Industry Institute, Shiyan Hubei 442000, China
2. Jingchu University of Technology, Jingmen Hubei 448000, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0439

Abstract

This study proposes a monocular 3D detection algorithm based on self-learning region selection and edge focusing. Unlike traditional methods that use the entire ROI for 3D attribute learning, the proposed algorithm leverages a data-driven model to self-learn and select valuable regions, mitigating the negative influence of irrelevant areas. Additionally, the algorithm enhances edge regions by modeling the distribution characteristics of truncated targets, improving the focus on high-frequency regions. Furthermore, a data augmentation method incorporating spatial consistency constraints is introduced, extending the 3D sample set by adding spatial constraints to the Cut-and-Paste method, thus ensuring consistency with imaging principles. Experimental results on the KITTI dataset demonstrate that the proposed method outperforms baseline models and state-of-the-art approaches, with a 29.8% improvement in accuracy for truncated targets compared to the baseline.

Foundation Support

国家自然科学基金湖北省重大研发计划项目(2020AAA001)
湖北省重点研发计划项目(2020BAB099)
湖北省重点研发计划项目(2021BED004,2023BAB169)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0439
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 7

Publish History

[2025-03-12] Accepted Paper

Cite This Article

王鑫威, 张友兵, 周奎. 基于自学习区域选择与边缘聚焦的单目3D检测 [J]. 计算机应用研究, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0439. (Wang Xinwei, Zhang Youbing, Zhou Kui. Monocular 3d detection based on self-learning region selection and edge focus [J]. Application Research of Computers, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0439. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)