Trajectory fusion algorithm based on adaptive weight coefficient

Shuaishuai Dong; Jingjing Yin; Piao Ding; Qi Wang; Jianqing Wu

doi:10.1117/12.2656761

13 January 2023 Trajectory fusion algorithm based on adaptive weight coefficient

Shuaishuai Dong, Jingjing Yin, Piao Ding, Qi Wang, Jianqing Wu

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125101E (2023) https://doi.org/10.1117/12.2656761
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

Most of the current trajectory tracking algorithms, which only rely on a single data source sensor for target trajectory tracking, are prone to problems such as inaccurate acquisition of target velocity information and unstable tracking. In this paper, based on the existing 2D and 3D trackers, a trajectory information fusion algorithm based on adaptive weight coefficients is proposed based on the consideration of the distance decay characteristics of point cloud quality (quantity, density, etc.), which effectively improves the accuracy and robustness of the trajectory tracking method, expands the trajectory tracking range, alleviates the target loss phenomenon, realizes the mutual fusion of multi-dimensional trajectory information under the same time and space, and makes up for the shortcomings of a single sensor when tracking the target trajectory.

Citation Download Citation

Shuaishuai Dong, Jingjing Yin, Piao Ding, Qi Wang, and Jianqing Wu "Trajectory fusion algorithm based on adaptive weight coefficient", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125101E (13 January 2023); https://doi.org/10.1117/12.2656761

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