Image-Based Slip Risk Judgment for Pedestrian And Bicycle Posture
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Solution Overview
Problem
Current accident avoidance technologies do not effectively provide cautionary information to drivers about the likelihood of pedestrians or two-wheeled vehicles slipping, which can lead to accidental contacts.
Innovation Solution
An information processing apparatus that detects and estimates the posture of pedestrians and two-wheeled vehicles using image analysis, calculates the possibility of slipping based on the angle between the barycenter point and the road surface, and outputs cautionary information to prevent accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional accident avoidance technologies are used, then basic collision prevention is achieved, but the ability to accurately judge slipping possibility and provide effective cautionary information is insufficient
Solution Approach 1:
The patent changes the parameter of judgment from simple presence detection to posture-based slipping possibility assessment. By calculating the angle between the gravity vector and the contact point, and comparing it with threshold values, the system transforms qualitative caution into quantitative risk assessment, thereby improving measurement precision and information effectiveness
Solution Approach 2:
The patent replaces conventional mechanical collision detection systems with an information-processing-based posture analysis system. Using image processing and geometric calculations instead of purely mechanical sensors, the system can assess slipping risk before actual contact occurs, enhancing both precision and preventive capability
2Measurement precision
If the system detects and analyzes posture of pedestrians and two-wheeled vehicles, then slipping possibility judgment accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential geometric parameters needed for slipping assessment from complex image data. By focusing on key points (contact points, center of gravity positions) and calculating only the necessary angles, the system achieves high precision without requiring full-body posture analysis, thus managing device complexity effectively
Solution Approach 2:
The patent performs preliminary detection of target objects and their contact points with the road surface before conducting detailed posture analysis. This staged approach allows the system to prepare necessary geometric data in advance, reducing real-time computational complexity while maintaining high measurement precision
3Reliability
If cautionary information is provided based on slipping possibility judgment, then accident prevention capability is improved, but information processing time increases
Solution Approach 1:
The patent applies partial action by providing cautionary information selectively based on calculated slipping possibility thresholds. Rather than continuously processing all detected objects at full detail, the system focuses computational resources on targets exceeding risk thresholds, thereby improving accident prevention capability while controlling processing time
Solution Approach 2:
The patent replaces time-consuming mechanical monitoring systems with rapid image-processing-based posture analysis. By using geometric calculations and threshold comparisons instead of continuous physical sensing, the system achieves reliable accident prevention capability with reduced processing time
Data Source
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AI summary
An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a judgment unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The judgment unit judges a possibility of the target object slipping on the basis of the estimated posture.