MOTION AND OBJECT PREDICTABILITY SYSTEM FOR AUTONOMOUS VEHICLES

摘要

An artificial intelligence system is enabled for an autonomous vehicle to calculate a plurality of trajectory paths. The system is enabled to identify and recognize objects. The autonomous vehicle is enabled using a convolutional neural network to determine various paths associated with the autonomous vehicle and also of other moveable objects in the environment. The autonomous vehicle is further enabled to use a cloud based server or edge computing device to pre calculate environments including predictions of environments. Upon an threshold of paths available an aggressive driving move may be authorized to proceed by the autonomous vehicle. The system is enabled to identify and recognize objects using a plurality of sensors including vision-based sensors, image sensors, video sensors, camera sensors, LIDAR, and sensor fusion. Data from various sensors may be combined and fused together to provide enhanced input to the autonomous vehicle.