PEER-TO-PEER VEHICULAR PROVISION OF ARTIFICIALLY INTELLIGENT TRAFFIC ANALYSIS

Systems/techniques that facilitate peer-to-peer vehicular provision of artificially intelligent traffic analysis are provided. In various embodiments, a system can be onboard a first vehicle. In various aspects, the system can capture, via one or more cameras, one or more microphones, or one or more other sensors of the first vehicle, roadside data associated with a road on which the first vehicle is traveling. In various instances, the system can execute a deep learning neural network on the roadside data, wherein the deep learning neural network can produce as output a classification label, a bounding box, or a pixel-wise segmentation mask localizing an unsafe driving condition along the road. In various cases, the system can transmit, via a peer-to-peer communication link to a second vehicle traveling on the road, an electronic alert based on the unsafe driving condition.