Driving Support Apparatus Predicting Intersection Arrival Times
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Solution Overview
Problem
Existing driving support systems may respond late to situations where a moving object, such as a pedestrian, changes direction to cross the path of a host vehicle, as they rely on detection angles and speeds, leading to potential late responses in collision avoidance.
Innovation Solution
A driving support apparatus that predicts the intersection point of the host vehicle and moving object's paths, calculates the time for both to arrive at this point, and uses pre-defined maps to determine the necessity of intervention based on relative times, allowing for proactive support even if the object does not initially cross the path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the possibility of collision is determined based on detection angle formed by detection direction and traveling direction, then the system is simple to operate, but the response is late when moving object changes direction to crossing
Solution Approach 1:
The system performs preliminary action by predicting the intersection point where the host vehicle and moving object paths cross, and calculating arrival times at this point before the actual collision risk materializes. This allows the system to prepare driving support decisions in advance, improving response timeliness when the moving object changes direction.
Solution Approach 2:
The invention transitions from two-dimensional detection angle assessment to a time-dimensional assessment by calculating first time (vehicle arrival at intersection) and second time (object arrival at intersection). This adds a temporal dimension to collision risk evaluation, enabling more accurate and timely judgment of collision possibility.
2Device complexity
If the system only responds to actual crossing movements, then the device complexity is reduced, but the reliability decreases when moving object suddenly changes direction
Solution Approach 1:
The system calculates the intersection point and predicted arrival times in advance, creating a proactive safety mechanism. This preliminary calculation enables the system to respond to sudden direction changes by comparing actual movement against pre-calculated safe trajectories, improving reliability without requiring complex real-time tracking of every movement nuance.
Solution Approach 2:
The intersection point serves as an intermediary concept that mediates between current detection data and future collision risk. By focusing on this intermediate spatial-temporal reference point, the system can assess collision risk without directly tracking complex directional changes, maintaining device simplicity while improving responsiveness.
3Difficulty of detecting and measuring
If the system uses detection angle and speed only, then the measurement process is simple, but the accuracy of collision risk assessment deteriorates in crossing scenarios
Solution Approach 1:
The system enhances measurement precision by adding time as a new dimension to the assessment. Instead of relying solely on spatial detection angle and speed, the system calculates first time and second time (arrival times at intersection), creating a more accurate four-parameter assessment model (angle, speed, time1, time2) that significantly improves collision risk evaluation accuracy.
Solution Approach 2:
By pre-calculating arrival times at the intersection point, the system establishes a reference framework for accurate collision assessment. This preliminary temporal measurement allows for more precise comparison between predicted and actual movements, improving measurement precision without substantially increasing measurement complexity.
Data Source
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AI summary
There are provided a driving support apparatus and a driving support method in which the reliability can be improved. In the driving support apparatus 1, in a traveling direction of the host vehicle and a direction crossing the traveling direction, an intersection where the host vehicle and the moving object cross is predicted; a virtual TTC that it takes for the host vehicle to arrive at the intersection and a virtual TTV that it takes for the moving object to arrive at the intersection when the moving object moves in the direction crossing the traveling direction at a virtual speed which is set virtually, are respectively acquired; and the driving support in the host vehicle is implemented based on the relative relationship between the virtual TTC and the virtual TTV.