Research on an obstacle recognition algorithm of field road network

Yong Sun; Jinqing Zhao; Guangzhao Lu; Weiqing Yang; Di Wang; Shaopan Zhang; Yan Chen; Xun Wang

doi:10.1117/12.2648939

27 September 2022 Research on an obstacle recognition algorithm of field road network

Yong Sun, Jinqing Zhao, Guangzhao Lu, Weiqing Yang, Di Wang, Shaopan Zhang, Yan Chen, Xun Wang

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123450Y (2022) https://doi.org/10.1117/12.2648939
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

This paper presents an obstacle recognition algorithm for field road network, including obstacle element extraction based on digital elevation model (DEM), determination of traffic factors affecting path planning, rasterization of terrain environment, obstacle recognition algorithm, establishment of overlapping grid of traffic area, description of passable area and non-passable area, etc. Combined with the actual project, it has achieved good results.

Citation Download Citation

Yong Sun, Jinqing Zhao, Guangzhao Lu, Weiqing Yang, Di Wang, Shaopan Zhang, Yan Chen, and Xun Wang "Research on an obstacle recognition algorithm of field road network", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123450Y (27 September 2022); https://doi.org/10.1117/12.2648939

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