AVES Reality and dSPACE have entered into a technology partnership so that developers of autonomous vehicles can validate sensors and algorithms in virtual test drives in a range of realistic scenarios.

dSPACE has supplemented its simulation platform for realistic sensor simulation with the particularly performant Sensor Simulation (SensorSim) PC HPP.

​​​​​​​The technical partnership aims to enable developers of autonomous vehicles to validate sensors and algorithms during virtual test drives in high-precision three-dimensional real-world environments, getting self-driving cars on the road faster.

As Toyota Motor Corporation continues to move forward with its electrification strategy, it is also actively developing new technologies and methodologies to ensure that the increasing amount of in-vehicle software development and validation is carried out in an efficient and reliable manner.

At CES, dSPACE will showcase how electric and autonomous vehicles can get on the road faster with innovative simulation and validation solutions.

dSPACE is therefore expanding its product family of radar target simulators for the testing of automotive 4-D sensors by a system that allows for the precise simulation of two radar targets with high resolution.

The SCALEXIO Ethernet boards provide additional Ethernet interfaces to the SCALEXIO Processing Unit, the SCALEXIO LabBox or the SCALEXIO AutoBox. Boards that offer native BroadR-Reach support and an integrated Ethernet switch are available for both platforms, and they can be configured via modules.

dSPACE SystemDesk offers the export of virtual ECUs in Functional Mock-up Unit (FMU) format, making the communication of V-ECUs between various simulation platforms easier.

Validation of radar-based in-cabin monitoring applications operating at 60 GHz.

dSPACE and NXP^® Semiconductors are extending their partnership to cooperate more closely in the simulation of radar raw data. Their goal is to generate and validate synthetic radar raw data for future sensor technologies so that radar technologies for highly-automated driving and self-driving cars can be developed more quickly.