Open AccessDesign of Tram Collision Prevention System Based on Infrared Ranging and Kalman Filtering
Author(s) -
Kang Yang,
Chongbin Zhao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/3/032084
Subject(s) - ranging , kalman filter , relative velocity , computer science , approximation error , set (abstract data type) , collision , basis (linear algebra) , simulation , algorithm , real time computing , artificial intelligence , mathematics , telecommunications , physics , geometry , computer security , quantum mechanics , programming language
Since the route of tram operation is set on a specific orbit, pedestrians or vehicles may enter the orbit during driving. In order to avoid such traffic accidents caused by collisions, a set of infrared ranging fusion is designed. Kalman filtering algorithm for tram anti-collision system. Considering that the obstacles in front may have moving speed, the real-time information obtained by infrared ranging is used as the data basis, the prediction model is established according to the current relative distance and relative speed, and the Kalman filtering algorithm is used to accurately predict the relative speed, and then the relative vehicle is used. Calculate the distance warning threshold from the information and relative speed to eliminate the calculation error and improve the accuracy of the relative real-time distance information. The theoretical test shows that the method can greatly improve the accuracy of detecting the real-time distance of the tram during driving.