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- 2024-05-12
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西门子 Simcenter PreSCAN 是一个基于物理场的仿真平台，用于汽车行业，用于开发基于雷达、激光/激光雷达、摄像头和 GPS 等传感器技术的高级驾驶辅助系统 （ADAS）。PreScan还用于设计和评估车对车（V2V）和车对基础设施（V2I）通信应用以及自动驾驶应用。预扫描可用于从基于模型的控制器设计 （MIL） 到软件在环 （SIL） 和硬件在环 （HIL） 系统的实时测试。使用 Simcenter 预扫描，工程师只需五个简单的步骤即可虚拟验证 ADAS 和自动驾驶汽车的功能。首先，他们可以通过 GUI 或使用 API 使用 Simcenter Prescan 数据库的元素（包括道路、基础设施组件、参与者、天气和光源），在几分钟内复制真实的交通场景。然后，他们可以添加传感器模型。该软件可以连接到自负车辆，以测试车辆与其周围环境之间的相互作用。接下来，Simcenter Prescan 具有一个用于控制系统的接口，用于设计和验证用于数据处理、传感器融合、决策制定和控制的算法。有了所有这些数据，工程师就可以运行实验，这些实验可以在多个操作系统和硬件平台
PreScan is a simulation platform consisting of a GUI-based preprocessor to define scenarios and a run-time environment to execute them. The engineer's prime interface for making and testing algorithms includes MATLAB and Simulink. PreScan can be used from model-based controller design (MIL) to real-time tests with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) systems. PreScan can operate in open-loop & closed-loop, and offline & online mode. It is an open software platform which has flexible interfaces to link to 3rd party vehicle dynamics model (e.g. CarSIM, dSPACE ASM, etc) and 3rd party HIL simulators/hardware (e.g. ETAS, dSPACE, Vector).PreScan comprises several modules that together provide everything an ADAS system developer needs. An intuitive graphical user interface (GUI) allows you to build your scenario and model your sensors, while the Matlab/Simulink interface enables you to add a control system. This interface can also be used to import existing Matlab/Simulink models such as vehicle dynamics models. When running your experiment, the visualisation viewer gives a realistic 3D representation of the scenario. Optionally, tools such as dSPACE ControlDesk and NI LabVIEW can be used for activities such as ‘data acquisition’ and ‘test automation’.The program works using four easy steps
Build scenario
A dedicated pre-processor (GUI) allows users to build and modify traffic scenarios within minutes using a database of road sections, infrastructure components (trees, buildings, traffic signs), actors (cars, trucks, bikes and pedestrians), weather conditions (such as rain, snow and fog) and light sources (such as the sun, headlights and lampposts). Representations of real roads can be quickly made by reading in information from OpenStreetMap, Google Earth, Google 3D Warehouse and/or a GPS navigation device.Model sensors
Vehicle models can be equipped with different sensor types, including radar, laser, camera, ultrasone, infrared, GPS and antennas for vehicle-to-X (V2X) communication. Sensor design and benchmarking is facilitated by easy exchange and modification of sensor type and sensor characteristics.Add control system
A Matlab/Simulink interface enables users to design and verify algorithms for data processing, sensor fusion, decision making and control as well as the re-use of existing Simulink models such as vehicle dynamics models from CarSim, Dyna4 or ASM.Run experiment
A 3D visualisation viewer allows users to analyse the results of the experiment. It provides multiple viewpoints, intuitive navigation controls, and picture and movie generation capabilities. Also, interfaces with ControlDesk and LabView can be used to automatically run an experiment batch of scenarios as well as to run hardware-in-the-loop (HIL) simulations.
Homepagehttps://tass.plm.automation.siemens.com/
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