Perceiving with Confidence: How AI Improves Radar Perception for Autonomous Vehicles
Autonomous vehicles don’t just need to detect the moving traffic that surrounds them — they must also be able to tell what isn’t in motion.
At first glance, camera-based perception may seem sufficient to make these determinations. However, low lighting, inclement weather or conditions where objects are heavily occluded can affect cameras’ vision. This means diverse and redundant sensors, such as radar, must also be capable of performing this task. However, additional radar sensors that leverage only traditional processing may not be enough.
In this DRIVE Labs video, we show how AI can address the shortcomings of traditional radar signal processing in distinguishing moving and stationary objects to bolster autonomous vehicle perception.