This application discloses use of moving and stationary IoT objects to enhance deep learning algorithms used for autonomous vehicles. The autonomous vehicle acts as an IoT device and exchange information data with moving or stationary IoT devices in its vicinity. The moving and stationary objects share their information data using their broadcast, Ethernet, or proprietary packets with the autonomous vehicle through its IoT device. The shared information data is used by autonomous vehicle navigation and protection system (NPS) where the deep learning algorithm resides. The shared information data includes specification, video and images of the stationary device and moving object. When only selected stationary devices are active, then the active stationary device broadcast the information data that belongs to stationary devices in its vicinity along the road and freeway that are not active.