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Distributed Simulation Platform Architecture and Application of Autonomous Driving for Vehicle-Road-Map Collaboration
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Jianan Zhang1, Zhaozheng Hu1, 2, Jie Meng1, 2, Huahua Hu1, Jie Zuo1
Automotive Engineering | 2024, 46(8) : 1335 - 1345
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Automotive Engineering | 2024, 46(8): 1335-1345
Distributed Simulation Platform Architecture and Application of Autonomous Driving for Vehicle-Road-Map Collaboration
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Jianan Zhang1, Zhaozheng Hu1, 2, Jie Meng1, 2, Huahua Hu1, Jie Zuo1
Affiliations
  • 1. Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan  430000
  • 2. Chongqing Research Institute of Wuhan University of Technology,Chongqing  401120
Published: 2024-08-25 doi: 10.19562/j.chinasae.qcgc.2024.08.001
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In order to solve the problems of low efficiency and insufficient system scalability of single-machine test platforms in the vehicle-road-map collaborative simulation environment, a distributed autonomous driving simulation platform architecture for vehicle-road-map cooperative simulation is proposed in this paper, named VIMS (Vehicle-Infrastructure-Map System). The VIMS platform uses CARLA as the virtual simulation engine. By introducing in real high-definition maps and connecting the hardware-in-the-loop devices such as driving simulators and signal machines to VIMS, the virtual-real traffic scene is formed. Considering the interaction of functions, the VIMS platform is divided into four modules, namely, the main world, the intelligent vehicle, the intelligent roadside, and the high-definition map, adopting ROS distributed architecture to realize the relative independence of the modules and interconnection between the modules. Considering the computational reliability and availability of the platform, distributed computing is used to realize independent computation among the four modules. Through the lane-keeping and vehicle-road-map collaborative positioning algorithm as examples for application validation, data acquisition, transmission and algorithm validation tests and evaluation are realized through the platform. The results show that the platform proposed in this paper can realize the real-time simulation of vehicle, road, and map collaboration to ensure that the modules operate organically and that the system architecture is highly scalable.

collaborative vehicle infrastructure system  /  high-definition map  /  real–virtual simulation  /  autonomous driving
Jianan Zhang, Zhaozheng Hu, Jie Meng, Huahua Hu, Jie Zuo. Distributed Simulation Platform Architecture and Application of Autonomous Driving for Vehicle-Road-Map Collaboration[J]. Automotive Engineering, 2024 , 46 (8) : 1335 -1345 . DOI: 10.19562/j.chinasae.qcgc.2024.08.001
Year 2024 volume 46 Issue 8
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.08.001
  • Receive Date:2024-01-23
  • Online Date:2025-07-29
  • Published:2024-08-25
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  • Received:2024-01-23
  • Revised:2024-04-14
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    1. Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan  430000
    2. Chongqing Research Institute of Wuhan University of Technology,Chongqing  401120
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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