Vehicle Vision Warning Control for Pedestrian Motion Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for enhancing traffic safety and convenience, particularly for vulnerable road users, face challenges in accurately predicting the movement and intentions of pedestrians to effectively warn approaching vehicles.
Innovation Solution
The proposed system employs in-vehicle information processing devices equipped with sensors and image-capturing technology to analyze pedestrian movements and predict their future locations. This information is then used to determine if a warning should be issued to the vehicle's occupants or transmitted to other vehicles in the vicinity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system issues warnings based on detected pedestrian movements, then traffic safety is improved, but false warnings may be issued due to inaccurate prediction of pedestrian intentions
Solution Approach 1:
The system performs preliminary actions by detecting current pedestrian movement and pre-calculating potential future locations before actual collision risk occurs. This allows the system to issue warnings in advance while maintaining accuracy through continuous movement detection and prediction algorithms.
Solution Approach 2:
The system applies dynamics by continuously updating pedestrian movement detection and prediction based on real-time changes in pedestrian behavior. The prediction model adapts to dynamic pedestrian intentions rather than relying on static assumptions, improving both reliability and reducing false warnings.
2Measurement precision
If the system continuously monitors and predicts pedestrian movements, then warning accuracy is improved, but computational load and system complexity increase
Solution Approach 1:
The system segments the complex task of pedestrian prediction into distinct functional modules: movement detection, intention prediction, and warning decision-making. This modular approach maintains high prediction precision while managing system complexity through organized, independent processing stages.
3Reliability
If the system issues warnings for all detected hazardous situations, then safety coverage is improved, but unnecessary warnings may cause driver distraction or alarm fatigue
Solution Approach 1:
The system uses feedback mechanisms to evaluate the effectiveness of issued warnings and adjust future warning behavior. By monitoring driver responses and actual collision outcomes, the system refines its warning criteria to maintain comprehensive safety coverage while reducing unnecessary alerts that cause distraction or alarm fatigue.
Data Source
AI summary
An information processing device includes: an acquiring unit which acquires information detected by an image-capturing device provided in a moving body; a predicting unit which predicts at least one of a movement or a moving direction of a moving object which exists in a vicinity of the moving body based on the information acquired by the acquiring unit; a warning control unit which performs control to output a warning based on at least one of the movement or the moving direction of the moving object predicted by the predicting unit; and a transmission control unit which performs control to transmit information indicating at least one of the movement or the moving direction of the moving object predicted by the predicting unit to another moving body around the moving body.