Simulation software offers new functionalities for virtual test driving

Simulation software offers new functionalities for virtual test driving

Technology News |
By Christoph Hammerschmidt

With release 9.0, the calculations of Radar RSI is switched to physically based field calculations. A wide range of effects are thereby considered before the raw data are then processed in a signal processing model. Radar RSI was validated in an extensive measurement campaign in cooperation with Magna Electronics, one of the leading automotive suppliers.

To support the functionality tests more extensively, the Camera HiFi Sensor is added to the list of Sensors. It generates camera specific object lists of recognized traffic objects, traffic signs and traffic lights. Various effects need to be taken into consideration, as for example occlusion or influence of rain or fog.

Further, the release 9.0 introduces the Object by Lane Sensor. It traffic objects on selected, adjacent traffic lanes and provides information about the lanes as well as about the traffic objects using them. Thus, this sensor is perfectly suitable for trajectory planning.

In order to provide a quick and easy access to realistic road networks in CarMaker, map data can import road characteristics such as lanes, lane markings and speed limits from HERE HD Live Maps. The new release also enables exports of road networks created with the Scenario Editor not only in the ROAD5 format but also in the OpenDRIVE open file format. In this way, the user can exchange with other platforms and once produced road networks can be reused more often.

Other new features in the Scenario Editor include new options for defining traffic signs and traffic lights as well as the corresponding functional markings. By allocating different speed limits to different traffic lanes on the road and through traffic lights located on the opposite sides of an intersection, the user profits from maximum flexibility when configurating scenarios.

As of now and in addition to the so far generic Traffic Model, a Human Driver Model is available. The behavior is thereby not only enhanced during lane switching, but also models human traits as reaction time or imprecise estimations of distance and speed. Therefore, the behavior of road users appears more realistic and human-like.

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