Event-Based Ai for Automotive and IOT
Etienne Perot
Prophesee, FR
ABSTRACT
Event cameras are a new type of sensor encoding visual information in the form of asynchronous events. An event corresponds to a change in the log-luminosity intensity at a given pixel location. Compared to standard frame cameras, event cameras have higher temporal resolution, higher dynamic range and lower power consumption. Thanks to these characteristics, event cameras find many applications in automotive and IoT, where low latency, robustness to challenging lighting conditions and low power consumption are critical requirements. In this talk we present recent advances in artificial intelligence applied to event cameras. In particular, we discuss how to adapt deep learning methods to work on events and their advantages compared to conventional frame-based methods. The presentation will be illustrated by results on object detection in automotive and IoT scenarios, running real-time on mobile platforms.
