Information data from moving and stationary IoT objects to enhance deep learning algorithms for autonomous vehicles

An object control system (OCS) that uses a deep learning algorithm to control a navigation of a moving vehicle with a respective internet of things (IoT) device in at least one of a road, a freeway, and a sky comprising:

• a plurality of stationary IoT devices and a plurality of moving object IoT devices along at least one of said road, and said freeway;
• a stationary IoT device within said plurality of stationary IoT devices is at least one of a roadside stud, a lane line stud, a center barrier stud, a light pole or post, a traffic sign, a tree, a building, an electric box, a mailbox, a traffic light, a road-side object, and a freeway-side object;
• said stationary IoT device is at least one of an active stationary IoT device, and an inactive stationary IoT device;
• said plurality of stationary IoT devices, said respective IoT device, and said plurality of moving object IoT devices communicate with an IoT network to obtain an operation information data (OID) which is at least one of an operation frequency, a bandwidth, a modulation, a time of day (TOD), a frame duration, an effective radiation power (ERP), a time slot, a time slot duration, and an absolute time that is said TOD for start of said time slot;
• said plurality of stationary IoT devices, and said plurality of moving object IoT devices during their said time slot share an information data with said moving vehicle through said respective IoT device using at least one of a broadcast packet, an Ethernet packet, and a proprietary packet;
• Said information data includes at least one of a type, a specification, a photo image, a video clip, a limited map, said OID, and a position coordinate;
• said moving vehicle has a navigation and protection system (NPS) with at least one of a camera, a LIDAR (light detection and ranging), a RADAR (radio detection and ranging), and said respective IoT device to obtain a received information data;
• said received information data is a ranging information data that is an estimated distance between said moving vehicle with said respective IoT device and at least one of said stationary IoT device within said plurality of stationary IoT devices, and a moving object IoT device within said plurality of moving object IoT devices;
• said NPS has an artificial intelligent (AI) algorithm that applies said deep learning algorithm to said information data and said received information data to control and enhance said navigation of the moving vehicle.