MEC Server Risk Area Processing for Vehicle Blind Spots

The system performs preliminary actions by having vehicles store risk area information locally and pre-identify high-priority risk areas before MEC server communication is needed. This allows the MEC server to receive only essential, pre-processed information rather than continuous raw data streams, reducing communication energy consumption while maintaining information completeness for critical safety decisions

The patent extracts only the most critical risk area information from the complete set of vehicle sensor data. The MEC server receives selectively extracted risk information that is sufficient for safety decisions, rather than processing all raw sensor data from every vehicle, thereby reducing communication load and energy consumption while maintaining reliability

The system segments the risk identification process into two parts: initial risk detection performed by individual vehicles using their own sensors, and centralized verification/enhancement performed by the MEC server. This segmentation allows most processing to occur locally and immediately, while the MEC server only handles coordination and cross-verification, reducing overall processing time while maintaining high accuracy through collaborative processing

The MEC server performs partial processing by focusing computational resources only on verifying and enhancing risk areas that multiple vehicles have independently identified, rather than processing all risk data from all vehicles equally. This partial action approach maintains accuracy for critical risks while avoiding unnecessary computational overhead for low-priority areas