**Accelerating the data loop for training and testing ADAS and AD functions**
**AGENDA**
6:00p Welcome reception
6:30p Presentation with Q&A
7:30p Networking
8:00p End
**ABSTRACT**
The physical world is complex and highly dynamic, with sudden changes and unforeseen anomalies. Therefore, it is essential to establish a systematic way to prepare autonomous systems for safe operation in the physical world.
In this presentation, DeepScenario provides insights into its AI Scenario Engine: a novel approach to capture traffic data and critical real-world scenarios faster and more cost-effectively than existing approaches. The AI Scenario Engine leverages monocular cameras, including traffic cameras and drones, to conduct large-scale traffic observations and derive statistical distributions of real-world driving behavior. This knowledge is then used by leading autonomous technology companies to advance the algorithms and safety of their self-driving systems.
