IPG Automotive Launches Latest Version Of CarMaker; Includes Lidar RSI

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IPG Automotive Launches Latest Version Of CarMaker; Includes Lidar RSI

IPG Automotive Launch Version 8.0 CarMaker Lidar RSI CarMaker Real-Time Sensor Models.

The Version 8 of IPG Automotive’s CarMaker Features Lidar RSI, which completes real-time capable sensor models

IPG Automotive has launched the latest version of its CarMaker virtual testing product family, with the addition of Lidar Raw Signal Interface (Lidar RSI) to its sensor portfolio. The Lidar RSI is a physical sensor model based on ray tracing that is suited for detailed modelling of Lidar sensors. This latest addition enables users to now have access to virtual models of all physical sensor technologies in the simulation solution, the company noted.

Sensor technology as part of future forms of mobility, such as automated driving will continue to rise in importance, IPG Automotive said. It said that deploying sensors for environment detection in driver assistance systems requires a large scope of testing within the development process since the reliable and robust performance of the sensors must be ensured in any conceivable scenario. As a result, virtual test driving for the validation of functions in simulation is assuming an ever-greater role, it explained.

Whitepaper on Integrating Hardware/Software Development for Autonomous Vehicles

Lidar technology determines the distance of the sensor to its surrounding objects by measuring the time of flight. CarMaker version 8.0 enables virtual modelling, as well as individual definition of specific Lidar properties using a variety of parameters. It allows users to define the mounting position and orientation, and even the beam pattern, the company explained. Additionally, it is possible to model rotating Lidar systems for 360° surround view.

In the new updated version, properties of the objects to be detected can be modelled for tests of the algorithms or assistance systems downstream. These would include transmissive, retroreflective, diffuse or specular reflection types as well as reflectance dependent on the objects’ colours. IPG Automotive explained that the intensity of the reflected beam is compared using a threshold-based method for which the threshold itself can be parameterised in order to adjust the sensitivity of the receiver unit.

Video on Developing Autonomous Vehicles at Scale

The new release 8.0 enables the parallel use of multiple GPUs so as to accelerate tests with the new Lidar RSI, as well as established sensor models. This allows real-time tests of extensive sensor configurations such as those needed for (semi) autonomous driving. If large test catalogues are involved, parallel testing is possible on an HPC system or in the cloud with multiple GPUs.

Dr Andreas Höfer, Product Manager, Simulation Software, IPG Automotive, said the company’s software solutions offer all that is needed for the virtual development of raw data based fusion and detection algorithms or driving functions based on these. The latest version offers the option of real-time capable modelling and generation of raw signals from radar, Lidar, camera and ultrasonic sensors, he added. Dr Höfer noted that whether the tests focus on detecting objects or on the resulting decisions, the sources of errors can be identified and eliminated at an early stage of development.