  Object detection plays a critical role in autonomous driving, where
accurately and efficiently detecting objects in fast-moving scenes is crucial.
Traditional frame-based cameras face challenges in balancing latency and
bandwidth, necessitating the need for innovative solutions. Event cameras have
emerged as promising sensors for autonomous driving due to their low latency,
high dynamic range, and low power consumption. However, effectively utilizing
the asynchronous and sparse event data presents challenges, particularly in
maintaining low latency and lightweight architectures for object detection.
This paper provides an overview of object detection using event data in
autonomous driving, showcasing the competitive benefits of event cameras.
