Street curb and median detection using LIDAR data
AssigneeHRL Laboratories, LLC
InventorsSwarup S. Medasani, Yuri Owechko, Thommen Korah
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AssigneeHRL Laboratories, LLC
InventorsSwarup S. Medasani, Yuri Owechko, Thommen Korah
Estimating the term…
A method of extracting street and road data from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form the dataset. The method includes: converting the dataset into an implicit representation using a population function; converting the implicit representation into 2D point data which are supplied to an agglomerative Gaussian mixture decomposition module, the agglomerative Gaussian mixture decomposition module automatically and parsimoniously fitting the 2-D point data with a set of Gaussian components; and modeling a segment of a street grid in the dataset by Gaussian models and constraining the Gaussian models to align with each other and a dominant orientation of the streets in order to detect streets. Ray tracing techniques may be used to detect curbs and medians.
A method of extracting street and road data from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form said dataset, the method comprising the steps of:
A method of extracting curb data from street and road data obtained from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form said dataset, the method comprising the steps of:
A method of extracting curb and median data from street and road data obtained from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form said dataset, the method comprising the steps of:
Dependencies are inferred from the claim text.