Research on intelligent perception of computer vision environment for autonomous driving in complex environment based on cloud computing and improved Bayesian algorithm

Wang Xu

doi:10.1117/12.3032829

5 July 2024 Research on intelligent perception of computer vision environment for autonomous driving in complex environment based on cloud computing and improved Bayesian algorithm

Wang Xu

Author Affiliations +

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318427 (2024) https://doi.org/10.1117/12.3032829
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

In the field of autonomous driving, vision-based environmental perception methods usually use monocular or multi-ocular cameras to capture images, and use computer vision technology to analyze images to complete perceptual tasks such as object recognition, target detection and tracking, semantic segmentation, three-dimensional reconstruction, and distance measurement. Where there is a lack of prior knowledge or relational structure, the application of existing methods is limited. A method for calculating similarity matching between azimuth and polarity eigenvectors of components is proposed, and 5 defects of common components are accurately detected. The experimental results show that the proposed algorithm can quickly and accurately locate and identify PCB components, and effectively detect the defects of different components of the circuit board, because information is only passed between tightly connected nodes, this approach fails to capture novel interactions between distant nodes. The way to solve this limitation is to introduce an attention layer with induced sparsity to find. Therefore, based on specific projects in the laboratory, this paper conducts in-depth research on the visual environment perception for automatic driving in complex environments, aiming at the actual needs of intelligent unmanned units for automatic driving on complex off-road road conditions, and the problems such as low accuracy and insufficient robustness of existing algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wang Xu "Research on intelligent perception of computer vision environment for autonomous driving in complex environment based on cloud computing and improved Bayesian algorithm", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318427 (5 July 2024); https://doi.org/10.1117/12.3032829

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Autonomous driving

Detection and tracking algorithms

Deep learning

Computer vision technology

Data modeling

Target detection

Image segmentation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years