Vehicle Blind Spot Control Using Latent Obstacle Presumption
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Solution Overview
Problem
Existing vehicle sensor systems fail to effectively detect and account for obstacles in blind spots, leading to safety concerns during driving, as they cannot identify latent obstacles outside their detection range.
Innovation Solution
An electronic control device equipped with a peripheral obstacle identification section, blind spot region identification section, region determination section, and obstacle region presumption section, which classifies blind spots into dangerous and safe areas and presumes the presence of latent obstacles in previously identified dangerous zones, thereby enhancing safety by considering undetected obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor detection range is used to identify obstacles, then the detection capability within the detection range is improved, but the ability to detect latent obstacles in blind spots deteriorates
Solution Approach 1:
The system performs preliminary identification of blind spot regions before obstacles can enter them. By presuming the presence of latent obstacles in dangerous blind spot regions based on previous detection data and blind spot mapping, the system prepares safety measures in advance rather than reacting after detection failure occurs
Solution Approach 2:
The electronic control device acts as an intermediary between the sensor detection system and the vehicle control system. It processes sensor output to identify blind spots, classifies them as dangerous or safe, and generates control signals accordingly, bridging the gap between limited sensor capabilities and comprehensive safety requirements
2Measurement precision
If the blind spot region is classified into dangerous and safe areas, then the accuracy of obstacle presence determination is improved, but the system complexity increases
Solution Approach 1:
The blind spot region is segmented into multiple sub-regions based on obstacle detection history and potential risk. The region determination section divides the blind spot into dangerous blind spot regions (where latent obstacles may exist) and safe blind spot regions (where no obstacles are presumed), allowing differentiated safety responses for different areas
Solution Approach 2:
The system applies partial classification by focusing computational resources only on dangerous blind spot regions that require presumption of latent obstacles. Not all blind spot regions are treated equally - only those classified as dangerous trigger the obstacle presumption and enhanced safety measures, reducing overall system complexity while maintaining necessary accuracy
3Reliability
If the obstacle presence region is presumed in dangerous blind spot regions, then the safety against latent obstacles is improved, but the false positive rate increases
Solution Approach 1:
The presumption of latent obstacles is applied locally only to dangerous blind spot regions rather than uniformly across all blind spots. The region determination section identifies specific areas where obstacle presumption is necessary based on detection history and geometric analysis, applying enhanced safety measures only where needed rather than throughout the entire blind spot area
Solution Approach 2:
The classification of blind spot regions as dangerous or safe is dynamic and updates continuously based on sensor input and vehicle movement. Regions can transition between dangerous and safe states as the vehicle changes position or new detection data becomes available, allowing the system to reduce false positives when obstacles are no longer present while maintaining high safety when risks are detected
Data Source
AI summary
A vehicle electronic controller includes a peripheral obstacle identification section identifying obstacles near the vehicle, a blind spot region identification section identifying a blind spot region which is not in a detection range of the obstacle identification section, a region determination section which classifies the blind spot region into either a dangerous blind or a safe blind spot region and an obstacle region presumption section which presumes an obstacle presence region which is a region that a latent obstacle which is the latent obstacle which could be present at a previous time in the dangerous blind spot region which was classified at the previous time can be present at a present time, in which the region determination section determines that a region which overlaps with at least the obstacle presence region in the blind spot region that the blind spot region identification section identified is the dangerous blind spot region.