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Outline
Given the current lack of integrated testing solutions for distributed vision and LiDAR systems in Electromagnetic Susceptibility (EMS) testing of Advanced Driver Assistance Systems (ADAS), and the safety risks associated with multi-sensor coordination in complex electromagnetic environments, this paper proposes a vehicle-based EMS testing method for ADAS systems. By using point cloud digital signal injection technology to simulate the characteristics of LiDAR point cloud scenes, the paper constructs high-precision test scenarios using PreScan and Simulink, and employs a pass-band filtering algorithm to reduce noise in the point cloud data. The test results show that the pass-through filtering algorithm reduces the number of point clouds by 22 851 while preserving target features, thereby significantly reducing the computational load on the equipment. At the same time, the sensor hardware-in-the-loop platform successfully activated all sensors during functional activation testing under Adaptive Cruise Control (ACC) conditions in a semi-anechoic chamber. The speed and relative distance recognition accuracy of the millimeter-wave radar, camera, and LiDAR all met the expected requirements, validating the effectiveness and reliability of the proposed solution.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 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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