NAVIGATING A VEHICLE USING A CROWDSOURCED SPARSE MAP
First Claim
1. A system for autonomously navigating a vehicle along a road segment, the system comprising:
- at least one processing device configured to;
receive a sparse map model, wherein the sparse map model includes at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature; and
receive from a camera, at least one image representative of an environment of the vehicle;
analyze the sparse map model and the at least one image received from the camera; and
determine an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image received from the camera.
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Accused Products
Abstract
Systems and methods are provided for navigating a vehicle using a crowdsourced sparse map. In one implementation, a method of autonomously navigating a vehicle along a road segment may include receiving a sparse map model, receiving at least one image representative of an environment of the vehicle, analyzing the sparse map model and the at least one image, and determining an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image. The at least one image may be received from a camera, and the sparse map model may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature.
45 Citations
20 Claims
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1. A system for autonomously navigating a vehicle along a road segment, the system comprising:
at least one processing device configured to; receive a sparse map model, wherein the sparse map model includes at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature; and receive from a camera, at least one image representative of an environment of the vehicle; analyze the sparse map model and the at least one image received from the camera; and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image received from the camera. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for autonomously navigating a vehicle along a road segment, the method comprising:
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receiving a sparse map model, wherein the sparse map model includes at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature; and receiving from a camera, at least one image representative of an environment of the vehicle; analyzing the sparse map model and the at least one image received from the camera; and determining an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image received from the camera. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A non-transitory, computer-readable medium storing instructions that, when executed by at least one processing device, cause the device to:
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receive a sparse map model, wherein the sparse map model includes at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature; and receive from a camera, at least one image representative of an environment of the vehicle; analyze the sparse map model and the at least one image received from the camera; and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image received from the camera. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification