Multidimensional evidence grids and system and methods for applying same
First Claim
Patent Images
1. A method of generating a multidimensional evidence grid representing an environment, the method comprising:
- A1. using learned sensor models to determine the settings and parameters to be used in stereo processing and evidence grid generation;
A2. collecting stereo data at multiple locations within the environment using stereo sensors during a training run using machine odometry to determine imaging locations;
B. from the stereo data, generating probability clouds comprising voxels, each voxel representing an occupancy of a corresponding point in space;
C. from the probability clouds, generating maps comprising combined probabilities of voxels associated with the points in space; and
D. combining the maps to form a multidimensional evidence grid representing the environment with a plurality of voxels, each voxel embodying a resulting probability of occupancy corresponding point in space.
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Abstract
A method of generating an evidence grid representing an environment comprises the steps of collecting a set of stereo images at multiple locations within the environment using stereo sensors, and processing the set of stereo images to determine occupancy and distance data associated with each point in space represented in the set of stereo images; applying a sensor model to each point in space to determine a probability of occupancy of each voxel representing each point in space; and generating an evidence grid of the environment by combining the probabilities for each voxel.
40 Citations
23 Claims
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1. A method of generating a multidimensional evidence grid representing an environment, the method comprising:
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A1. using learned sensor models to determine the settings and parameters to be used in stereo processing and evidence grid generation; A2. collecting stereo data at multiple locations within the environment using stereo sensors during a training run using machine odometry to determine imaging locations; B. from the stereo data, generating probability clouds comprising voxels, each voxel representing an occupancy of a corresponding point in space; C. from the probability clouds, generating maps comprising combined probabilities of voxels associated with the points in space; and D. combining the maps to form a multidimensional evidence grid representing the environment with a plurality of voxels, each voxel embodying a resulting probability of occupancy corresponding point in space. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A mobile apparatus configured for automated navigation within an environment, the mobile apparatus comprising:
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A. a mobile body configured for motorized translation within an environment; B. a translator configured to translate the mobile body in response to a set of navigation instructions; C. a set of stereo sensors configured for acquiring stereo data within the environment, including collecting stereo data at multiple locations within the environment using stereo sensors during a training run to determine imaging locations; D. a storage device including learned sensor models and a multidimensional evidence grid comprising a plurality of voxels representing the environment and having associated with each voxel a probability of occupancy; and E. a processor configured for executing a set of navigation logic configured for; 1) taking glimpses of the environment using the stereo sensors, wherein a glimpse comprises glimpse stereo data taken during navigation; 2) associating probability and location data from the glimpse stereo data with voxels in the evidence grid; 3) determining the location of the mobile apparatus by comparing the glimpse stereo data associated with the voxels with the probabilities associated with corresponding voxels in the evidence grid; and 4) using a sensor model specifically tuned to enhance the performance of navigation. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification