ADAS & AV System Simulation

ADAS & AV System Simulation

Prove the safety and reliability of autonomous systems by using a leading physics based simulation platform that allows for robust testing of autonomous vehicle functionality. Simcenter Prescan allows engineers to test, develop, and optimize autonomous systems by following a systematic approach. This will boost the overall systems engineering productivity from early research and development until the final stages of validation, certification, and homologation of autonomous vehicles.

Simcenter Prescan includes ready to use scenario libraries for various ADAS & AV functions and certification tests, combined with an extensive set of sensor models that allow for rapid assessment of every part of the complete full self-driving stack.  It is an open environment that follows all the major industry standards and allows for integration with third party tools and internal enterprise processes. Engineers can easily perform self-driving studies to determine the optimal sensor configuration for vehicles, develop robust driving assistance systems, evaluate the performance of perception, fusion, planning and control algorithms, and prepare for doing validation and certification of autonomous vehicle systems.

ADAS Systems Validation & Verification

Simcenter Prescan ships bundled with a number of test scenarios, which are compliant with the main standards, to demonstrate its capabilities as an Advanced Driver Assistance Systems (ADAS) applications development and testing tool. The compatible tests available in Simcenter Prescan and their corresponding norm are: ISO test protocol for Adaptive Cruise Control (ACC), Euro NCAP performance tests for Autonomous Emergency Braking System (AEBS), ADAC performance tests for AEBS, ISO test protocol for Lane Departure Warning (LDW), NHTSA test protocol for LDW, Euro NCAP performance tests for Traffic Sign Recognition (TSR), ISO test protocol for Lane Change Assist System (LCAS) and eValue test protocol for LCAS.

Cluster

Run simulations at scale. To prepare automated vehicle functionalities for operation, simply driving millions of highway miles is not sufficient. Instead, the industry needs the ability to stress-test automated driving algorithms, not only under normal conditions, but especially in fringe cases. That is where cluster simulation comes into play. Cluster capabilities in Simcenter allow engineers to test millions of scenarios while varying simulation parameters like vehicle parameters, weather, sensor parameters and many more.

HiL

Design human-machine interface (HMI) systems and subsystems by putting a driver directly in the loop, and more effective verify and validate physical ECU hardware components. Simcenter can project generated images into a physical camera using a special projection box, or inject them in the physical sensor processing pipeline, allowing engineers to test different levels of the ECU or other device under evaluation. This helps them to rapidly prototype ECU firmware and explore complicated edge-cases in a cost-effective and time-efficient manner.