Travel Assistance Vision Prioritization for Side and Rear Hazard Detection

The patent applies local quality by setting different resolutions for different regions of the captured image. Specifically, the image processing section divides the captured image into multiple regions and sets high resolution for regions with high collision risk (such as regions where vehicles are detected or where the own vehicle is changing direction) while setting low resolution for regions with low collision risk. This allows recognition accuracy to be maintained in critical areas while reducing overall computing power requirements.

The patent applies dynamics by making the resolution setting adaptive rather than static. The image processing section dynamically determines which regions require high resolution based on real-time conditions such as the presence of other vehicles, the own vehicle's travel direction, and calculated collision risks. This allows the system to shift computational resources to different regions as needed, ensuring that safety-critical areas always receive sufficient processing power while optimizing overall resource utilization.

The patent applies preliminary action by performing risk assessment and region prioritization before the main recognition processing. The image processing section first identifies regions with high collision risk based on the presence of other vehicles and the own vehicle's travel characteristics, then allocates higher processing loads to these regions. This preliminary classification ensures that dangerous situations are detected and processed with high priority, reducing recognition time for critical threats while maintaining simpler processing for low-risk areas.