The study of roadside visual algorithm in vehicle-road cooperative based on YOLOX and KPP-DeepSORT

Xiaohui Li; Yue Hu; Qiang Zhang

doi:10.1117/12.3025574

28 February 2024 The study of roadside visual algorithm in vehicle-road cooperative based on YOLOX and KPP-DeepSORT

Xiaohui Li, Yue Hu, Qiang Zhang

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130713Z (2024) https://doi.org/10.1117/12.3025574
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

Visual inspection was an important technology for the roadside perception of vehicle-road cooperative. For the difficulty of keeping balance between detection precision and computation efficiency by common visual perception algorithms, a new visual processing method based on YOLOX and KPP-DeepSORT was presented. First, YOLOX was used for multi-channel image recognition, then considering the orderliness of the traffic stream, K-Means++ was introduced to preprocess DeepSORT for reducing tracking delay. Data showed that the proposed method had high accuracy for detecting and tracking the pedestrians and vehicles. Especially in rush-hour crossroad, it performed more efficiently than some other common algorithms, so that had extensive application prospect in Internet of Vehicles.

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

Citation Download Citation

Xiaohui Li, Yue Hu, and Qiang Zhang "The study of roadside visual algorithm in vehicle-road cooperative based on YOLOX and KPP-DeepSORT", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130713Z (28 February 2024); https://doi.org/10.1117/12.3025574

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