METHOD AND APPARATUS FOR DETERMINING ABNORMAL OBJECT
First Claim
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1. A method of determining an abnormal object, the method comprising:
- selecting a candidate object from target objects extracted from a two-dimensional (2D) image of a front view captured from a host vehicle;
generating a three-dimensional (3D) model of the candidate object;
determining, based on the 3D model, whether the candidate object corresponds to an abnormal object that interferes with driving of the host vehicle; and
outputting the abnormal object, in response to the candidate object corresponding to the abnormal object.
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Abstract
Disclosed is a method and apparatus for determining an abnormal object, the method including selecting a candidate object from target objects extracted from a two-dimensional (2D) image of a front view captured from a host vehicle, generating a three-dimensional (3D) model of the candidate object, determining, based on the 3D model, whether the candidate object corresponds to an abnormal object that interferes with driving of the host vehicle, and outputting the abnormal object, in response to the candidate object corresponding to the abnormal object.
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Citations
21 Claims
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1. A method of determining an abnormal object, the method comprising:
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selecting a candidate object from target objects extracted from a two-dimensional (2D) image of a front view captured from a host vehicle; generating a three-dimensional (3D) model of the candidate object; determining, based on the 3D model, whether the candidate object corresponds to an abnormal object that interferes with driving of the host vehicle; and outputting the abnormal object, in response to the candidate object corresponding to the abnormal object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for determining an abnormal object, the apparatus comprising:
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an image sensor configured to capture a front image from a host vehicle and to generate a two-dimensional (2D) image; and a processor configured to select a candidate object from target objects extracted from the 2D image, generate a 3D model of the candidate object, determine, based on the 3D model, whether the candidate object corresponds to an abnormal object that interferes with driving of the host vehicle, and output the abnormal object, in response to the candidate object corresponding to the abnormal object. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification