Monocular cued detection of three-dimensional structures from depth images
First Claim
1. A method for detection of three dimensional obstacles, the method performed by a system mountable in a vehicle, wherein the system includes a processor operatively connectible to a camera, the method comprising:
- capturing a plurality of two-dimensional image frames in a field of view of the camera;
detecting, in the image frames, a two-dimensional candidate of a three-dimensional object in an environment of the vehicle using monocular information;
portioning the image frames around the candidate to produce image portions including the candidate;
computing a depth map around the candidate in the image portions, wherein the depth map includes depth values related to a function of distance from the camera to the object; and
determining, based on the depth map, whether the object represented by the candidate is an obstacle to the motion of the vehicle.
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Accused Products
Abstract
Detection of three dimensional obstacles using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle.
15 Citations
12 Claims
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1. A method for detection of three dimensional obstacles, the method performed by a system mountable in a vehicle, wherein the system includes a processor operatively connectible to a camera, the method comprising:
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capturing a plurality of two-dimensional image frames in a field of view of the camera; detecting, in the image frames, a two-dimensional candidate of a three-dimensional object in an environment of the vehicle using monocular information; portioning the image frames around the candidate to produce image portions including the candidate; computing a depth map around the candidate in the image portions, wherein the depth map includes depth values related to a function of distance from the camera to the object; and determining, based on the depth map, whether the object represented by the candidate is an obstacle to the motion of the vehicle. - View Dependent Claims (2, 3, 4, 5, 11)
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6. A system for detection of three dimensional obstacles, the system mountable in a host vehicle, the system including a processor operatively connectible to a camera, wherein the system is configured to:
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capture a plurality of two-dimensional image frames in a field of view of the camera; detect, in the image frames, a two-dimensional candidate of a three-dimensional object in an environment of the vehicle using monocular information; portion the image frames around the candidate to produce imaged portions including the candidate; compute a depth map around the candidate in the image portions, wherein the depth map includes depth values related to a function of distance from the camera to the object; and determine, based on the depth map, whether the object represented by the candidate is an obstacle to the motion of the vehicle. - View Dependent Claims (7, 8, 9, 10, 12)
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Specification