Automatic identification method of overpasses based on deep learning

Jingzhen Ma; Bowei Wen; Fubing Zhang

doi:10.1117/12.2579387

10 November 2020 Automatic identification method of overpasses based on deep learning

Jingzhen Ma, Bowei Wen, Fubing Zhang

Proceedings Volume 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence; 115841J (2020) https://doi.org/10.1117/12.2579387
Event: Third International Conference on Image, Video Processing and Artificial Intelligence, 2020, Shanghai, China

Abstract

The automatic identification of overpass structures is of great significance for multi-scale modeling, spatial analysis, and vehicle navigation of road networks. The traditional method of overpass recognition based on vector data relies too heavily on the characteristics of manual design and has poor adaptability to complex scenes. In this paper, a method for overpass identification based on the target detection model Faster R-CNN (Regions with Convolutional Neural Network) is proposed. This method uses a Convolutional Neural Network to learn the deep structural characteristics of data samples, and then automatically identifies and finds accurate positioning of the overpasses. The experimental results show that this method is able to identify overpasses and can accurately determine their positions in a complex road network, avoiding the influence of human intervention on the uncertainty of results. This method also has strong anti-interference abilities

Citation Download Citation

Jingzhen Ma, Bowei Wen, and Fubing Zhang "Automatic identification method of overpasses based on deep learning", Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 115841J (10 November 2020); https://doi.org/10.1117/12.2579387

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