Abstract
The PreScan was used to construct and test environmental simulation sections for a vehicle sensor. It was employed to build simulation road sections or import real road sections and build virtual infrastructures, streets, and scenes, where vehicles, unexpected road incidents, traffic signals, human factors, light sources, and simulated weather changes were considered, which served as the basis for testing the vehicle sensor value using PreScan. The built-in PreScan vehicle modules were imported to the built virtual road sections and scenes, and cameras were installed at appropriate positions to measure the perspective of a moving vehicle. Furthermore, Simulink was used to model the vehicle sensors to be tested. Globally, tens of thousands of people have died in traffic accidents wherein more than half of the deaths were caused by drivers’ negligence. Therefore, traffic safety-related Advanced Driver Assistance Systems or autopilot systems have received increasing attention from vehicle manufacturers, with vehicle sensor performance being the key to safety. Previously, physical vehicles were mostly employed to test the vehicle sensors, which entailed high costs and risks. However, by employing PreScan in the tests, highly reliable real physical data can be obtained and high costs and risks associated with the use of physical vehicles could be avoided.
Highlights
This study used the PreScan software package in order to simulate the conditions of driving environments including roads, time, weather, the surrounding scenery, traffic flow, vehicles, and vehicle control
PreScan, capable of being applied in applications such as designing model controllers [Model in the Loop (MIL)] and conducting real-time tests using Software in the Loop (SIL) and Hardware in the Loop (HIL) systems, is operable in an open loop mode, a closed loop mode, an offline mode, and an online mode. It is an open software platform with a flexible interface, which allows the platform to be connected to the vehicle dynamics model [such as CarSim and dSPACE Automotive Simulation Models (ASM)] and HIL simulators/hardware of the subcontractors
Various conditions corresponding to different functions of various types of sensors should be created, where the conditions of path planning, rapid construction of simulation scenarios, infrastructure components, participants, weather and light sources, etc. should be created in order to produce an environment simulation path loop, which served as the basis for testing vehicle sensors
Summary
This study used the PreScan software package in order to simulate the conditions of driving environments including roads, time, weather, the surrounding scenery, traffic flow, vehicles, and vehicle control. With advanced traffic control and detection technology, road users could be warned in a timely manner before vehicle emergency events happen, where the technology could even automatically adjust the vehicle speed to achieve automatic driving safety alert, which symbolized one of the important areas of the application of intelligent transportation systems. The system performance is totally based on the support of hardware in the loop and physical vehicle experiments in the process of development, so the said system might face problems such as a long development cycle, high development costs, and difficulties in simulating some scenarios or the possibility of involvement of other higher.
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