Vehicle Pedestrian Arrival-Time Sharing for Blind Intersections
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Solution Overview
Problem
Existing vehicle systems struggle to accurately detect and predict potential interference with pedestrians at intersections, especially in conditions of poor visibility, leading to inadequate warning systems.
Innovation Solution
A vehicle external environment detection system that includes an image sensor to identify pedestrian movement, estimate speed, calculate arrival time, and transmit notification data to adjacent vehicles, which then assess interference risk and warn occupants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle systems use traditional detection methods to identify pedestrians, then the system complexity remains low, but the detection precision and reliability deteriorate in poor visibility conditions
Solution Approach 1:
The patent combines image sensors, processing circuits, communication circuits, and warning systems into an integrated pedestrian detection and warning system. Multiple vehicles share detection data through communication circuits, merging individual detection capabilities into a collective safety network that improves precision without requiring each vehicle to have complex independent systems
Solution Approach 2:
The system performs preliminary detection and calculation of pedestrian arrival times before actual intersection conflicts occur. By estimating arrival times in advance and sharing this information through communication circuits, the system prepares warning data proactively, enabling timely warnings while maintaining manageable system complexity through phased processing
2Reliability
If vehicle systems calculate detailed arrival times and interference possibilities, then the reliability of safety warnings improves, but the loss of time for data processing increases
Solution Approach 1:
The processing circuit calculates pedestrian arrival times and interference possibilities in advance based on detected movement patterns and speed estimates. By performing these calculations preliminarily before conflicts arise, the system ensures reliable warning data is ready when needed, minimizing real-time decision delays while maintaining high reliability through thorough upfront analysis
Solution Approach 2:
The system uses communication circuits to rapidly transmit pre-calculated arrival time and interference data between vehicles. This fast data exchange skips lengthy real-time computation during critical moments, delivering reliable warning information quickly to enable timely driver responses without sacrificing processing thoroughness
3Adaptability or versatility
If the system transmits notification data between multiple vehicles, then the coverage of safety warnings improves, but the quantity of data transmitted and processed increases
Solution Approach 1:
The system extracts and transmits only critical pedestrian detection data (arrival times, interference possibilities, movement patterns) through communication circuits, rather than sharing all raw sensor data. This selective extraction provides broad multi-vehicle safety coverage while minimizing data transmission volume and processing requirements for each receiving vehicle
Data Source
AI summary
A vehicle external environment detection system includes a first vehicle and a second vehicle. The first vehicle includes an image sensor, a first processing circuit, and a first communication circuit. The first processing circuit identifies a moving method of a person around the first vehicle based on a result of the imaging performed by the image sensor, estimates a person's moving speed based on the moving method, and calculates an arrival time at which the person arrives at an intersection based on the person's moving speed. The first communication circuit transmits notification data including data regarding the arrival time. The second communication circuit receives the notification data. The second processing circuit calculates an interference possibility between the second vehicle and the person based on the data regarding the arrival time included in the notification data and warns an occupant on the second vehicle when the interference possibility is high.