Video: Over-the-air testing – how can real-world signals be emulated?
Environment sensors play a crucial role in the safety of autonomous cars. Final hardware, such as radar sensors, still has to be validated independently. The question is: How do you simulate a real radar signal in a lab situation?
Environment perception sensors are critically important to the operation of autonomous vehicles. These sensors generate ever growing volumes of data. With the AUTERA product family, dSPACE now offers a system that can read, process, and record raw sensor data from lidar, radar, and camera sensors as well as from automotive buses and networks, with best-in-class bandwidth.
Acquired by dSPACE in 2019, understand.ai (UAI) is an artificial intelligence technology leader with a focus on automated data analysis, data annotation, and extraction of simulation scenarios for autonomous vehicles. In our interview, the two UAI founders, Marc Mengler and Philip Kessler, explain the added value of this cooperation and describe how customer projects typically work.
5G offers vast potential for a wide range of completely new applications for connected and cooperative automated driving. Watch our video to learn how the integration of the Anritsu Radio Communication Test Station for LTE and 5G with the dSPACE SCALEXIO HIL system enables early development and end-to-end validation of cutting-edge applications.
As engineers, we often use the time domain as the main method to analyze signals of our application. However, there are situations where using the time domain is not suitable, for example when attempting to analyze signal mixtures. This is where the frequency domain and a method known as FFT come into play. Learn how you can solve this challenge with ControlDesk.
Video: How can Sensor Simulation Help Make Autonomous Cars Safer?
The correct processing of sensor signals is crucial for the safety of autonomous cars. Watch our Spotlight video to learn how simulating sensor models and their physical characteristics can help to validate the complete processing chains.
How Do You Keep Safety-Critical Systems ‘Safe’ in the Era of the Self-Driving Car?
The introduction of sophisticated technologies for autonomous vehicles, advanced driver assistance systems (ADAS) and electrification are accelerating the introduction of new software. As the mobility industry moves into the cloud-based era of software development, a key question remains: How to ensure that safety critical systems remain safe?
