Research on Information Fusion Method to Improve the Measurement Precision of High Speed Vehicles Anti-Collision Distance

Abstract:

With the continuous development of the Internet of things technology, the high-speed vehicles to prevent rear-end collision warning system which is from the traditional passive to the current vehicle-to-vehicle communication active warning also continues to develop. In this paper, a vehicle ranging system is composed of Zigbee wireless communication and GPS positioning system. Through setting maneuvering model, establishing ranging system state equation and observation equation, error model, integrating the two vehicles’ distance, relative velocity, relative acceleration and the distance error, we can get the vehicle distance estimation by using of centralized Kalman filter techniques. The simulation results show that the method can provide vehicle-to-vehicle communication ranging system with the high precision data of anti-collision distance. The system has good tracking performance.

• Periodical: Advanced Materials Research (Volume 1046)
• Pages: 236-240
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1046.236
• Online since: October 2014
• Authors: Jiang Chun Xu*, Sheng Wang Huang, Yan Chen, Yun Wei Zhang, Jin Hui Lei
• Keywords: Centralized Kalman Filter, Error Model, GPS, Maneuvering Model, ZigBee

References

[1] Ruhai Ge, Huiyan Wang. The Research Based on the Automotive Anti-collision Mechanism of DGPS [J]. Machinery Design and Manufacture (2012). 1: p.129.

[2] Zhigang Zhang, Xiwen Luo, Lie Hu, Xiaopeng Wu. Four Kinds of DGPS Module Dynamic Positioning Accuracy Test and Analysis [J]. Journal of South China Agricultural University (2010). 1: p.102-p.107.

[3] Yong Hu. Research on Information Integrated Technology in the Application of the Unmanned Helicopter [D]. Nanjing University of Aeronautics and Astronautics, Nanjing(2007).

[4] Rongrong Yang. Research on GPS/DR Integrated Positioning System Data Fusion Algorithm [D]. Lanzhou University of Technology (2007).

[5] Xue Bai. Research on Motion Model Identification and Positioning Error of Vehicle GPS Based on the Characteristic of the Farmland [D]. Jiangsu University (2011).

[6] Qiangang Liu. GPS Positioning Algorithm and Its Application in Intelligent Transportation [D]. Hunan University (2009).