Vehicle Position Cross-Checking From Camera Video for Safe Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques have not adequately explored the method for estimating a vehicle's position from a common video captured by a common camera using multiple different algorithms, which affects the reliability of vehicle control systems.
Innovation Solution
A vehicle control system that acquires a video from a common camera, calculates multiple vehicle positions using different position estimation algorithms, and decelerates or stops the vehicle if the position difference between these calculations exceeds an allowable error, ensuring safety by evaluating the reliability of the position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single position estimation algorithm is used, then the device complexity is low, but the reliability of position estimation is insufficient
Solution Approach 1:
The patent combines multiple position estimation algorithms (first algorithm and second algorithm) to estimate vehicle position from the same video input. By merging the results of these different algorithms and comparing their outputs, the system achieves higher reliability in position estimation while managing the complexity through systematic integration of multiple processing paths.
2Reliability
If multiple position estimation algorithms are used, then the reliability of position estimation is improved, but the calculation time increases
Solution Approach 1:
The system performs preliminary actions by continuously running multiple position estimation algorithms in parallel to generate candidate position estimates. By preparing these estimates in advance and having the deviation detection mechanism ready to compare them, the system reduces the time penalty associated with multiple calculations, as the algorithms are already executed and results are available for immediate comparison when needed.
3Reliability
If the allowable error is set strictly, then the safety is improved, but the productivity is reduced due to frequent stopping
Solution Approach 1:
The system dynamically adjusts the allowable error threshold based on the deviation detected between multiple position estimation algorithms. Rather than using a fixed strict threshold that would cause frequent unnecessary stops, the system adapts the tolerance level according to the actual disagreement between algorithms, maintaining safety by stopping only when the deviation exceeds the dynamically determined acceptable range.
Data Source
AI summary
The present disclosure provides a vehicle control system for controlling a vehicle. The vehicle control system comprises processing circuitry. The processing circuitry is configured to acquire a video captured by a common camera, calculate a first vehicle position that is a position of the vehicle from the video based on a first position estimation algorithm, calculate a second vehicle position that is a position of the vehicle from the video based on a second position estimation algorithm, and decelerate or stop the vehicle according to a deviation state in which a position difference between the first vehicle position and the second vehicle position exceeds an allowable error.