Unmanned Vehicle Route Verification Using Expected Traveling States

The system performs preliminary route verification by comparing electronic map road conditions with actual road conditions before the unmanned vehicle executes the planned route. This advance verification identifies discrepancies between the electronic map and real-world conditions, allowing the system to adjust the route in advance rather than reacting to errors during execution, thus maintaining both planning efficiency and operational reliability

The system establishes a feedback mechanism where the detected traveling state of the unmanned vehicle is continuously compared with expected traveling state information from the electronic map. When deviations are detected, the system feeds this information back to verify route accuracy and trigger route adjustments, creating a closed-loop control system that maintains reliability without sacrificing planning efficiency

Instead of verifying the entire route at once, the system applies local quality verification by checking route accuracy segment by segment along the traveling path. The route is divided into multiple road sections, and verification is performed locally at each section by comparing detected traveling state with expected state for that specific segment. This reduces computational complexity at any given moment while maintaining overall verification accuracy

The verification process is segmented into discrete checking points along the route. The system divides the continuous verification task into discrete segments corresponding to different road sections, verifying route accuracy at each segment rather than processing the entire route as a single complex computation. This segmentation reduces instantaneous computational load while achieving comprehensive verification