In this free webinar, AVL’s Armin Engstle and Diego Turrado Blanco discuss the importance of systematic parameter variation for improving sensor perception during adverse weather conditions.
The experts also present an innovative ADAS / autonomous driving (AD) sensor testing facility for weather conditions like rain, fog, and light and explain the importance of sensor calibration for accurate ground truth reference data in real-world sensor testing.
Key topics and takeaways:
- Understand why the validation of ADAS / AD sensors running non-deterministic algorithms such as CNNs is intensely data-driven
- Find out why sensor perception interferences due to adverse weather conditions are decisive for improving the quality of ADAS and indispensable for the road release of AD functions
- Discover why the “right mix” of test and validation approaches is essential for a reliable and safe sensor and perception approval
- Understand why an inverse test strategy from real-world data to indoor testing and virtual simulation is required to ensure realistic cross-validation of the different test and validation approaches (e.g. indoor vs outdoor, static vs dynamic SUT)