Vehicle Object Recognition Abnormality Detection at Low Speed
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Solution Overview
Problem
Existing systems fail to accurately detect abnormalities in peripheral object recognition using distance measuring sensors and external view cameras due to inconsistencies caused by measurement time differences and positional discrepancies between the two systems, leading to decreased detection accuracy.
Innovation Solution
An object recognition abnormality detection apparatus that utilizes a distance measuring sensor and an external view camera to generate synchronized background light and camera images, detecting a projection error between these images when the vehicle is stationary or moving at low speeds, thereby reducing positional discrepancies and enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses both distance measuring sensor and external view camera for object recognition, then the detection capability is improved, but the measurement precision deteriorates due to inconsistencies between the two systems
Solution Approach 1:
The patent introduces a background light image as an intermediary element to mediate between the distance measuring sensor data and the external view camera data. By comparing the projection of the background light image with the actual camera image, the system can detect inconsistencies and improve measurement precision while maintaining the enhanced detection capability provided by both sensors
Solution Approach 2:
The system implements a feedback mechanism where the projection error between the background light image and camera image is calculated and used to detect abnormalities. This feedback loop allows the system to monitor and correct for inconsistencies between the distance measuring sensor and camera, thereby maintaining high detection accuracy while utilizing both sensing systems
2Reliability
If the system performs continuous abnormality detection, then the reliability is improved, but the device complexity increases
Solution Approach 1:
The patent performs preliminary action by generating a background light image that represents the expected scene appearance under normal conditions. This pre-established reference is then used for continuous comparison with actual camera images, enabling reliable abnormality detection without requiring complex real-time analysis of all sensor data, thus maintaining reliability while controlling complexity
3Adaptability or versatility
If the system compares images at different positions, then the adaptability is improved, but the measurement precision deteriorates due to positional discrepancies
Solution Approach 1:
The patent resolves positional discrepancies by transforming the comparison from direct spatial image matching to a projection-based comparison in a different dimensional space. The background light image is projected onto the camera image plane, allowing comparison of images taken from different positions and angles while maintaining measurement precision through mathematical projection relationships
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus effectively suppresses the increase in projection error caused by positional differences, allowing for high-accuracy detection of abnormalities in peripheral object recognition, thereby improving the reliability of object detection systems.
Implementation Method 1
generates a reflected light image, which includes distance information, by emitting light toward an object and sensing, with a light receiving element, reflected light from the object
Implementation Method 2
generates a background light image, which has a same coordinate system as a coordinate system of the reflected light image, by sensing, with the light receiving element, background light with respect to the reflected light
Implementation Method 3
generates a camera image by sensing incident light with a camera element
Data Source
AI summary
An object recognition abnormality detection apparatus, which is equipped to a vehicle and detects an abnormality occurred in a peripheral object recognition of the vehicle using a distance measuring sensor and an external view camera, is configured to: acquire a speed state of the vehicle; acquire the background light image from a distance measuring sensor; acquire a camera image from an external view camera; and detect a projection error between the background light image and the camera image under a condition that the background light image and the camera image are generated in a state where a speed of the vehicle is within a range lower than a predetermined speed.