Conventional ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions and, in some cases, slow or stop the vehicle. This level of ADAS is great for applications like blind spot monitoring, lane-keep assistance and forward collision warning.
The NVIDIA DRIVE™ platform takes driver assistance to the next level. The platform employs deep learning and software libraries, frameworks and source packages that developers and researchers can use to optimize, validate and deploy their work. This gives developers a powerful foundation for building applications that leverage computationally intensive algorithms for object detection, map localization and path planning.
With NVIDIA AI solutions, a vehicle's ADAS can discern a police car from a taxi; an ambulance from a delivery truck; or a parked car from one that is about to pull out into traffic. It can even extend this capability to identify everything from cyclists in the bike lane to absent-minded pedestrians.