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

2014 ◽  
Vol 1046 ◽  
pp. 236-240
Author(s):  
Jiang Chun Xu ◽  
Sheng Wang Huang ◽  
Yan Chen ◽  
Yun Wei Zhang ◽  
Jin Hui Lei

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.

2013 ◽  
Vol 25 (5) ◽  
pp. 483-493 ◽  
Author(s):  
Luoyi HUANG ◽  
Jiao YAO ◽  
Wei WU ◽  
Xiaoguang YANG

With the evolution of advanced wireless communication technologies, tremendous efforts have been invested in vehicular networking, particularly the construction of a vehicle-to-vehicle communication system that supports high speed and mobility. In vehicle-to-vehicle communication environment, vehicles constantly exchange information using wireless technology. This paper aims to propose a vehicle-to-vehicle communication system and validate the feasibility of the system on a suburban road in China. Two vehicles were used equipped with IEEE 802.11p based DSRC (Dedicated Short Range Communications) device to construct a vehicle-to-vehicle communication platform. The system architecture consisting of hardware and software was described in details. Then, communication characteristics such as RSSI (Received Signal Strength Indicator), latency and PLR (packet loss rate) were analyzed. Additionally, GPS-related information (such as ground speed and location) was obtained through field test on a suburban road in Shanghai and Taicang City. The test results demonstrate satisfactory performance of the proposed system.


2021 ◽  
Vol 2083 (2) ◽  
pp. 022025
Author(s):  
Yu Liu ◽  
Xinzheng Wang ◽  
Huiling Zheng

Abstract This project designs a traffic safety early warning system based on 5G-V2X for the current situation of increasing traffic accidents in China, which concentrates on two modules of V2V (vehicle-to-vehicle), V2I (vehicle-to-road) for early warning system design, with OBU (vehicle communication unit) and RSU (roadside communication unit) based on 5G-V2X communication technology to establish vehicle-to-vehicle and vehicle-to-road interactive communication, and realize V2V collision warning and V2I traffic light emergency event warning at intersections through collision risk warning algorithm and intersection passage assistance algorithm, thus alerting drivers to avoid dangerous situations and reducing the incidence of traffic accidents.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 651
Author(s):  
Wouter Schinkel ◽  
Tom van der Sande ◽  
Henk Nijmeijer

A cooperative state estimation framework for automated vehicle applications is presented and demonstrated via simulations, the estimation framework is used to estimate the state of a lead and following vehicle simultaneously. Recent developments in the field of cooperative driving require novel techniques to ensure accurate and stable vehicle following behavior. Control schemes for the cooperative control of longitudinal and lateral vehicle dynamics generally require vehicle state information about the lead vehicle, which in some cases cannot be accurately measured. Including vehicle-to-vehicle communication in the state estimation process can provide the required input signals for the practical implementation of cooperative control schemes. This study is focused on demonstrating the benefits of using vehicle-to-vehicle communication in the state estimation of a lead and following vehicle via simulations. The state estimator, which uses a cascaded Kalman filtering process, takes the operating frequencies of different sensors into account in the estimation process. Simulation results of three different driving scenarios demonstrate the benefits of using vehicle-to-vehicle communication as well as the attenuation of measurement noise. Furthermore, in contrast to relying on low frequency measurement data for the input signals of cooperative control schemes, the state estimator provides a state estimate at every sample.


Author(s):  
Jesy Pachat ◽  
Nujoom Sageer Karat ◽  
Anjana Ambika Mahesh ◽  
Deepthi P P ◽  
Sundar Rajan

Author(s):  
Sanjay M Santhosh ◽  
S Hari Sankar ◽  
G Balagopal ◽  
A U Jayakrishnan ◽  
Shehan P Rajendran ◽  
...  

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