In this paper, we use vehicle sensor simulation platform (PreScan) to simulate the circumstance of driving on road to test the vehicle sensor. First, use PreScan to set up a scenario of streets and roads or to input realistic street view, to build virtual facilities, streets and scenes and add vehicles, road incidents, traffic signals, human errors, light factors and weather conditions, etc., as the base to test car sensor. After the construction of the virtual road scene, add PreScan built-in vehicle module and set up a camera at appropriate place to get the perspective of the driver. Then use SimuLink to set model for vehicle sensors for testing. In order to improve the safety, the efficiency and the consistency of road transport, Driver Supporting System and Intelligent Transport System could be the most potential creation in the market. The technology of Active Park Assist also becomes more important to the vehicle manufacturers. The performance/function of the vehicle sensor is a key point. The test vehicle sensors in the past mostly use real vehicles for test and the risk and the cost of this kind of test is huge and expensive. But if we test it by PreScan, it can not only provide with almost real physical data to reliable information, but also can avoid the risks and the tremendous amount of cost resulted from using real vehicles for test.
[1]
Liu Yin.
The Application of PreScan in Evaluation of Advanced Driver Assistance System
,
2013
.
[2]
Richard Bowden,et al.
A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes
,
2003,
Image Vis. Comput..
[3]
Yi-Ping Hung,et al.
Augmenting panoramas with object movies by generating novel views with disparity-based view morphing
,
2002,
Comput. Animat. Virtual Worlds.
[4]
Kuei-Shu Hsu,et al.
Unity 3D production and environmental perception vehicle simulation platform
,
2016,
2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE).