Developing the Safest Autonomous Vehicles with physics-based Sensor Simulation
To reach the highest levels of safety, Autonomous Vehicles must have a 360° perception to ensure they make the right decision by interpreting the data from sensors (camera, radar or lidar…). The challenge is high as the vehicle must identify all the objects in the vehicle’s environment (car, pedestrian, animal …), their position, their speed in all weather and light conditions.
To ensure this OEMs and Tier 1 suppliers must develop capable but complex and safe autonomous systems – an intermix of sensor signal processing, data fusion, neural networks. As a result the testing effort is unlimited and arduous task as physical test only allow a very limited & costly flexibility in the test scenarios.
In this webinar we will discuss how the reliability of the autonomous systems can be verified and validated at different stages using physics-based sensor simulation as a flexible complement to real driving tests.
With our ADAS testing solution, engineers can develop the safest autonomous vehicles all the while reducing the time and cost of the testing phase.
On-Demand
KEY TOPICS
In this webinar you'll learn how to:
- Implement a Cost and Time-Effective testing strategy that is comprehensive, repeatable, and scalable
- Enable optimal object Identification, recognition and mapping - ( with a focus on the new lidar model with more realistic detection cloud points)
- Obtain interoperability for integrated development