Danger Zone Detection Using Predicted Spatial Coordinates
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Solution Overview
Problem
Existing obstacle detection systems are passive and unable to predict the position of moving danger zones relative to pedestrians or vehicles, failing to provide proactive protection against potential hazards.
Innovation Solution
A method and system that generates and detects spatial zones of danger using location and electronic management means, anticipating the position of danger zones by determining spatial coordinates, calculating distances, and emitting alert signals when proximity thresholds are met, and assessing collision probabilities based on trajectory analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a passive alert system is used to detect danger zones, then the system structure is simple, but the system cannot predict the position of moving danger zones in advance
Solution Approach 1:
The system performs preliminary action by calculating and predicting the future position of moving danger zones before the pedestrian actually reaches that position. The electronic management means computes trajectory intersections and issues alerts in advance, allowing the pedestrian to take preventive action before entering the danger zone, thus transforming a passive detection system into an active prediction system.
Solution Approach 2:
The system applies dynamics by continuously updating the position and trajectory of moving danger zones in real-time. Instead of treating danger zones as static, the system dynamically tracks their movement, recalculates intersection points with pedestrian trajectories, and adjusts predictions accordingly, enabling reliable prediction of future danger zone positions.
2Measurement precision
If the system continuously monitors position coordinates to predict danger zones, then the prediction accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system implements periodic action by acquiring position coordinates at regular time intervals rather than continuously. The electronic management means periodically requests position data from location means, calculates danger zone predictions at these discrete intervals, and issues alerts when necessary. This periodic sampling maintains sufficient prediction accuracy while significantly reducing energy consumption compared to continuous monitoring.
3Reliability
If the system calculates possible trajectories and collision probabilities, then the safety prediction is improved, but the computational complexity increases
Solution Approach 1:
The system applies parameter changes by transforming the complex problem of trajectory prediction into a simpler geometric intersection calculation. Instead of simulating multiple possible pedestrian paths, the system changes the approach to calculate where the predicted danger zone trajectory intersects with the pedestrian's current trajectory, computing collision probability based on temporal and spatial overlap parameters. This parameter transformation maintains safety prediction reliability while reducing computational complexity.
Data Source
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AI summary
The invention mainly relates to a method for generating at least one spatial zone in a space, in particular a danger zone to be avoided, using at least one generating system comprising at least locating means and electronic management means, said generating method comprising at least one step (103) of determining, using the electronic management means, a contour of predetermined shape and dimensions defining the spatial zone using spatial coordinates from the generating system acquired by the locating means, and recording (104) the spatial coordinates defining said contour in a memory space of the electronic management means. FIGURE