Lidars, radars, cameras, and microphones directly measure scene data that autonomous vehicles need for handling edge cases like fast-changing weather and complex urban scenes. These sensing modalities degrade differently in various weather conditions, allowing for robust detection of other vehicles and vulnerable road users like pedestrians and cyclists. Recent trends in ADAS are making available improved detectors and emitters that enable Level 4 sensing performance at low cost. We will also share some examples and insights into the increasing role of AI in sensor processing and in understanding complex scenes.
