Design and Implementation of the 3D Virtual Road Reconstruction System for Vehicle

Abstract

Abstract: In order to reconstruct the standard and measured vehicle road spectrum, the 1D autoregressive (AR) model of road roughness and 2D double auto-variable AR model of road roughness based on the space coordinates are built. To adopt the method of singular value decomposition of the auto-correlation coefficient matrix, the 2D double auto-variable AR model is converted into two single auto-variable models, so the complexity degree of modeling is reduced. The roughness of the class B standard road surface and the measured road surface are reconstructed on the basis of the 2D AR model, the comparison between their power spectrums verifies the correctness of the model. Based on the both AR models and Mixed Programming of Visual C++ and Matlab, the 3D virtual road reconstruction software system for vehicle is built. The frame structure of the system is given. By adding the data of road roughness to the information of the road shape, the software system can generate the 3D virtual road constituted by the 3D coordinate information of regularized nodes of road surface. After analyzing the data formats of road files of three kinds of application software, i.e. VPG, CarSim and ADAMS, the method for the system to generate road file of the said application software by using the information of 3D virtual road is presented.

Key words: 3D virtual road, AR model, Reconstruction, Road roughness, Software system

CLC Number:

U461.4

HOU Yongtao;WANG Guolin;LIU Jian;SHAO Changzheng. Design and Implementation of the 3D Virtual Road Reconstruction System for Vehicle[J]. , 2011, 47(8): 126-133.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://www.cjmenet.com.cn/EN/

http://www.cjmenet.com.cn/EN/Y2011/V47/I8/126

[1]	LEI Zhuo, QIAO Baijie, WANG Yanan, DU Jun, LIANG Jun, LIU Yuanshi, FU Yu, CHEN Xuefeng. Sparse Reconstruction for Blade Tip Timing Signal Based on SPOQ Regularization Term [J]. Journal of Mechanical Engineering, 2026, 62(7): 208-220.
[2]	QIN Bin, LIU Yueming, DING Yixian, HOU Luyao, CHEN Guopeng. Research on the Measurement Method of Value Reduced for Switch Rail Based on Line Laser Sensor [J]. Journal of Mechanical Engineering, 2026, 62(6): 237-246.
[3]	LI Congyu, GAO Fei, LIU Lu, LI Yilin, LIN Jing. Dispersion Curve Reconstruction and Quantitative Assessment of Metal Damage Based on Ultrasonic Guided Wave Spectrum Estimation [J]. Journal of Mechanical Engineering, 2026, 62(2): 104-114.
[4]	LI Peng, SONG Xueguan, XIAO Libo, GAO Rongzhi, WANG Jiaqian, WANG Yitang, YANG Liangliang. Multi Working Condition Topology Optimization and Model Fusion Reconstruction of Pump Truck Boom Structure [J]. Journal of Mechanical Engineering, 2025, 61(9): 402-410.
[5]	JIANG Minghong, GAO Xianghong, ZHANG Peng, LI Wengheng, CHEN Wulong, ZHU Changsheng. Joint Reconstruction on Vibration Information of Flexible Rotor Systems Based on Augmented Kalman Filter [J]. Journal of Mechanical Engineering, 2025, 61(3): 272-283.
[6]	SHI Lin, YANG Hua, WU Zhenyu, ZHAO Lei, PENG Laihu, NI Qingqing. Study on Failure Mechanism of Intralaminar Hybrid Carbon/Glass Fiber Braided Composite Pipes under Pressurized Impact [J]. Journal of Mechanical Engineering, 2025, 61(23): 331-343.
[7]	DONG Yuanfa, HUANG Jitao, LI Haifan, ZHOU Bin, PENG Wei, AN Youjun. Research on Rapid Reconstruction and Collision Detection of Human Machine Point Clouds for Tightly Coupled Collaborative Spaces [J]. Journal of Mechanical Engineering, 2025, 61(16): 57-69.
[8]	WANG Pei, GAO Zile, LINJAMA Matti, WANG Dingyu, YAO Jing. Active Fault-tolerant Control of Parallel Digital Valves and Its System Based on Improved PNM Control [J]. Journal of Mechanical Engineering, 2025, 61(16): 321-337.
[9]	ZHAN Qingliang, LIU Xin, BAI Chunjin, GE Yaojun. 3D High-resolution Flow Reconstruction Based on Deep Learning [J]. Journal of Mechanical Engineering, 2025, 61(16): 338-346.
[10]	ZHOU Haichao, WANG Rongqian, LIANG Chen, WANG Guolin, ZHANG Lingxin. Research on Simulation Method of Rubber Friction and Wear Considering Temperature Effect [J]. Journal of Mechanical Engineering, 2025, 61(1): 253-264.
[11]	LIU Shuiqing, FU Jingyuan, SHEN Xiao, HAN Xu. Wear Modeling and Uncertainty Analysis of Impact Needle for Dispensing Robot [J]. Journal of Mechanical Engineering, 2024, 60(7): 34-44.
[12]	XU Kai, LI Zheyu, LI Guolong, MIAO Enming, TUO Junbo. Thermal Error Reconstruction Model of Machine Tools Based on Temperature Similarity Evaluation [J]. Journal of Mechanical Engineering, 2024, 60(5): 288-295.
[13]	ZONG Huaizhi, AI Jikun, ZHANG Junhui, JIANG Lei, TAN Shujie, LIU Yuxian, SU Qi, XU Bing. Lightweight Design of Limb Leg Units for Hydraulic Quadruped Robots by Topology Optimization and Lattice Filling [J]. Journal of Mechanical Engineering, 2024, 60(4): 420-429.
[14]	FAN Wengang, WU Changxin, WU Zhiwei, LI Jiang. Research on Laser Measurement and Three-dimensional Reconstruction Methods for Complex Profiles of Switch Rail [J]. Journal of Mechanical Engineering, 2024, 60(23): 329-340.
[15]	GE Jiuhao, CHEN Xuanang, YANG Chenkai, XU Fei. Novel Method of Eddy Current Distribution Mapping Around Crack Using the Signal of Rotating Eddy Current Testing Technique [J]. Journal of Mechanical Engineering, 2024, 60(18): 17-23.

Design and Implementation of the 3D Virtual Road Reconstruction System for Vehicle

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments