TECH TALK

Software updates are finding their way into modern vehicles as OEMs are installing new functions and technical optimizations over the air. This ensures the future viability of vehicles for end users but requires a significant acceleration of development and testing processes. Here is where we come into play with our product VIRTO.

In this video, we explain the idea behind the product and how you can scale simulation-based testing efficiently.

Testing autonomous driving functions can be really challenging due to their variety. Each function covers a varying amount of sensors and sensor types. The higher the level of automation gets, the higher the complexity is.

This TECH TALK focuses on different use cases in a HIL environment and shows you how our experts set up test processes with the help of simulation. Watch the video to find out more.

Nowadays, everyone is using ADAS such a park assist, but where things get interesting is for driving functions with higher degrees of automation, like highway pilots or other SAE level 4 functions. Why does the development of these functions challenge the automotive industry? How can we accelerate time-to-market? Watch the video to find out.

The robust perception of the environment is a key challenge for advanced driver assistance systems as well as autonomous driving functions. Sensors such as camera, radar, lidar and ultrasound can be used to detect the entire environment of the vehicle to then react accordingly. To fully test autonomous driving functions and ADAS, and therefore also the interaction of individual sensors, sensor simulation plays an increasingly important role.

In this video, Anna Jeske and Business Development Manager Martin Herrmann talk about the application-specific use of sensor simulation. The exemplary test setup to validate an ACC (adaptive cruise control) function shows how software and hardware from IPG Automotive work hand in hand to fully test ADAS and autonomous driving functions.

Testing advanced driver assistance systems in the overall system is both time and cost intensive. In addition to the proving ground, numerous components such as dummies are necessary to fully test ADAS functions.

One approach to reduce this effort is the vehicle-in-the-loop (VIL) method.

Hardware and software are connected in such a way that a real-world prototype reacts to the events of a simulated environment. Test scenarios can be varied and reproduced while the driver on board experiences the advanced driver assistance system.

In this video, our experts provide detailed insights into the technology as a whole and illustrate its application using the example of an AEB function.

Even though the use of simulation is already common in the automotive industry, it is rarely applied seamlessly throughout the entire vehicle development process. Vertical integration is an approach that makes use of simulation across the borders of software development and that enables its application from function planning to validation in the vehicle.

In the video, our expert uses the example of AEB function development to demonstrate how simulation, from model-in-the-loop (MIL), to software-in-the-loop (SIL) and hardware-in-the-loop (HIL) to vehicle-in-the-loop (VIL), is used to save time and costs during the development of advanced driver assistance systems (ADAS).

The increasing connectedness of powertrains with the full vehicle and their environment makes reliable testing of vehicle prototypes an even greater challenge. Due to the fact that ambient conditions are not controllable, performing tests based on real-world driving gets more and more difficult and time-consuming.

Integrated full vehicle testbeds present an efficient alternative to real-world road tests because they consider extended testing options to test compete systems in a virtual, controllable and adaptable test environment. In this video, our expert uses the example of GNSS signal simulation to show how IPG Automotive enables future integration testbeds jointly with solutions from our partners.

When developing autonomous driving functions, numerous scenarios have to be generated because it is the only way to increase the safety of the system. Manual approaches, such as the use of an editor, are time-consuming and do not fulfill the requirements of current vehicle development. Automated processes, however, offer the possibility to use the data on which the virtual test run is based much more efficiently. One option is “ScenarioRRR”.

Our expert for scenario generation will show you how to use this toolbox to efficiently generate and adapt scenarios in order to create variations.

In the past years, the topic of simulation scalability has gained momentum. Millions of test kilometers are required to validate systems. This means that virtual test scenarios have to be generated and simulated in a shorter time. Highly automated processes, High Performance Computing and parallelization have therefore become indispensable in vehicle development. In this video, our expert presents three different user groups, and demonstrates how they can solve the challenges they are currently facing in their areas of application.