METHOD AND A DEVICE FOR GENERATING A CONFIDENCE MEASURE FOR AN ESTIMATION DERIVED FROM IMAGES CAPTURED BY A CAMERA MOUNTED ON A VEHICLE
First Claim
1. A method of generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle, the method comprising:
- capturing consecutive training images by the camera while the vehicle is moving;
determining ground-truth data for the training images;
computing optical flow vectors from the training images and estimating a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera;
classifying the first output signal for each of the training images as a correct signal or a false signal depending on how well the first output signal fits to the ground-truth data;
determining optical flow field properties for each of the training images derived from the training images; and
generating a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal.
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Abstract
A method of generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle includes: capturing consecutive training images by the camera while the vehicle is moving; determining ground-truth data for the training images; computing optical flow vectors from the training images and estimating a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera; classifying the first output signal for each of the training images as a correct signal or a false signal depending on how good the first output signal fits to the ground-truth data; determining optical flow field properties for each of the training images derived from the training images; and generating a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal.
21 Citations
14 Claims
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1. A method of generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle, the method comprising:
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capturing consecutive training images by the camera while the vehicle is moving; determining ground-truth data for the training images; computing optical flow vectors from the training images and estimating a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera; classifying the first output signal for each of the training images as a correct signal or a false signal depending on how well the first output signal fits to the ground-truth data; determining optical flow field properties for each of the training images derived from the training images; and generating a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A device for generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle, the device is configured to:
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receive consecutive training images captured by the camera while the vehicle is moving; receive ground-truth data for the training images; compute optical flow vectors from the training images and estimate a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera; classify the first output signal for each of the training images as a correct signal or a false signal depending on how good the first output signal fits to the ground-truth data; determine optical flow field properties for each of the training images derived from the training images; and generate a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal.
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Specification