Sensor systems for vehicle environment perception in a Highway Intelligent Space System.
A Highway Intelligent Space System (HISS) is proposed to study vehicle environment perception in this paper. The nature of HISS is that a space sensors system using laser, ultrasonic or radar sensors are installed in a highway environment and communication technology is used to realize the information exchange between the HISS server and vehicles, which provides vehicles with the surrounding road information. Considering the high-speed feature of vehicles on highways, when vehicles will be passing a road ahead that is prone to accidents, the vehicle driving state should be predicted to ensure drivers have road environment perception information in advance, thereby ensuring vehicle driving safety and stability. In order to verify the accuracy and feasibility of the HISS, a traditional vehicle-mounted sensor system for environment perception is used to obtain the relative driving state. Furthermore, an inter-vehicle dynamics model is built and model predictive control approach is used to predict the driving state in the following period. Finally, the simulation results shows that using the HISS for environment perception can arrive at the same results detected by a traditional vehicle-mounted sensors system. Meanwhile, we can further draw the conclusion that using HISS to realize vehicle environment perception can ensure system stability, thereby demonstrating the method's feasibility.
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. tangjianhong@dae.buaa.edu.cn.
Xiaofeng
X
Tang
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. gaof@buaa.edu.cn.
Feng
F
Gao
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. xuguoyan@buaa.edu.cn.
Guoyan
G
Xu
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. dingng@buaa.edu.cn.
Nenggen
N
Ding
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. yao.cai.east@gmail.com.
Yao
Y
Cai
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. malern@sina.com.
Mingming
M
Ma
School of Transportation Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China. ljx@ae.buaa.edu.cn.
Jianxing
J
Liu
D003195:Computer Communication Networks / Q000295:instrumentation*; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D016247:Information Storage and Retrieval / Q000379:methods; D008962:Models, Theoretical; D018986:Motor Vehicles; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014159:Transducers; D059015:Wireless Technology / Q000295:instrumentation*