Vehicle Side Collision Warning with Dynamic Blind Spot Scope
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Solution Overview
Problem
Current driving assistance systems face challenges in accurately detecting blind spots and adjusting warning regions due to excessive sensitivity, particularly in crowded areas, and fail to distinguish between two-wheeled vehicles and pedestrians, leading to inadequate collision warnings.
Innovation Solution
A collision warning system comprising an image capturing apparatus, a sensing apparatus, and a computing apparatus that analyzes vehicle side images to generate object coordinates, calculates aerial view coordinates, and determines warning regions based on predicted collision times, dynamically adjusting the warning scope according to vehicle speed and turning angle, while incorporating a fixed scope for close objects to prevent excessive warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If millimeter wave radars are used to detect other vehicle objects, then detection capability is improved, but excessive warnings occur and two-wheeled vehicles and pedestrians cannot be distinguished
Solution Approach 1:
The patent combines millimeter wave radar detection with image capturing apparatus to create a fusion detection system. The radar provides detection capability while the image processing component distinguishes between different object types (two-wheeled vehicles, pedestrians, bicycles), resolving the contradiction by merging complementary detection methods.
Solution Approach 2:
The patent introduces an image capturing apparatus as an intermediary component that processes visual information to differentiate object types. This intermediary system works alongside the radar to filter out false warnings and improve warning accuracy by providing additional discriminative information.
2Area of stationary object
If the warning scope is expanded to cover more areas, then detection coverage is improved, but excessive warnings occur in crowded areas
Solution Approach 1:
The patent implements dynamic adjustment of warning scope based on vehicle conditions (speed, turning angle). The warning regions are not fixed but adapt in real-time, expanding when necessary and contracting to reduce false warnings, thereby resolving the contradiction between coverage and warning frequency.
Solution Approach 2:
The patent changes the parameters defining warning regions based on vehicle state. By adjusting warning scope parameters according to speed and turning angle, the system maintains appropriate coverage while reducing excessive warnings in crowded areas through parameter adaptation.
3Reliability
If the warning scope is reduced to minimize false warnings, then warning accuracy is improved, but blind spots cannot be properly detected
Solution Approach 1:
The patent uses dynamic adjustment of warning regions based on vehicle speed and turning angle to maintain optimal detection coverage. The system expands warning scope when vehicle conditions indicate potential blind spot risks, ensuring accurate blind spot detection while maintaining warning reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor vehicle conditions and adjust warning regions accordingly. This feedback loop ensures that warning scope is optimized in real-time to detect blind spots accurately while minimizing false warnings through continuous adaptation.
4Device complexity
If fixed threshold values are used for warning regions, then system simplicity is maintained, but excessive or loose warnings occur due to threshold setting problems
Solution Approach 1:
The patent replaces fixed threshold values with dynamic warning regions that adapt to vehicle conditions. This dynamic approach maintains relative system simplicity while significantly improving warning appropriateness by adjusting regions based on speed and turning angle rather than relying on problematic fixed thresholds.
Solution Approach 2:
The patent changes the parameter values defining warning regions based on vehicle state rather than using fixed thresholds. This parameter adaptation resolves the contradiction by maintaining computational simplicity while achieving appropriate warning levels through condition-based parameter adjustment.
Data Source
AI summary
A collision warning system and method are provided. The system includes an image capturing apparatus, a sensing apparatus, and a computing apparatus. The computing apparatus analyzes a vehicle side image to generate a plurality of objects and an object coordinate corresponding to each of the objects. The computing apparatus calculates an aerial view coordinate corresponding to each of the objects based on the object coordinates and a pitch angle corresponding to the image capturing apparatus. The computing apparatus calculates a predicted collision time between the vehicle and each of the objects based on a vehicle speed, a turning angle, and the aerial view coordinates. The computing apparatus generates a plurality of warning regions and determines a warning scope corresponding to each of the warning regions based on the predicted collision times.