Unsupervised approach to environment mapping at night using monocular vision
AssigneeHERE Global B.V.
InventorAnirudh Viswanathan
Life of this patent
Estimating the term…
Abstract
A trained feature network receives an image captured under low illumination conditions and pose data corresponding to the image. The trained feature network identifies a feature within the image and analyzes the image to extract feature information corresponding to the feature from the image. Based on the image and the pose data, geo-location information corresponding to the feature is determined. The geo-location information is appended to the extracted feature information. The feature information is stored as part of a feature map layer of a digital map. At least a portion of the digital map is provided to a routing and navigation system, for example, for performing vehicle localization under the particular condition.
Claims20
A map provider system configured for providing a feature map for vehicle localization under low illumination level conditions, the map provider system comprising:
- at least one memory, the at least one memory storing a digital map;
- at least one communications interface configured to enable communication with one or more routing and navigation systems;
- at least one processor configured to:
- operate a trained feature network, the trained feature network configured to:
- receive an image captured under low illumination level conditions and pose data corresponding to the image;
- identify a feature within the image;
- analyze the image to extract feature information corresponding to the feature from the image;
- determine, based on the image and the pose data, geo-location information corresponding to the feature;
- and
- append the geo-location information to the feature information;
- and
- store the feature information as part of a feature map layer of the digital map;
- and
- cause the at least one communications interface to provide at least a portion of the digital map to a routing and navigation system, wherein the routing and navigation system is configured to (a) perform a localization determination based on the feature map layer of the portion of the digital map and (b) make a routing decision based on the localization determination.
A method comprising:
- receiving, by a trained feature network, an image captured under low illumination level conditions and pose data corresponding to the image;
- identifying, by the trained feature network, a feature within the image;
- analyzing the image with the trained feature network to extract feature information corresponding to the feature from the image;
- determining, based on the image and the pose data, geo-location information corresponding to the feature;
- appending the geo-location information to the feature information;
- storing the feature information as part of a feature map layer of a digital map;
- and
- providing at least a portion of the digital map to a routing and navigation system.
A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions configured to:
- operate a trained feature network to:
- receive an image captured under low illumination level conditions and pose data corresponding to the image;
- identify a feature within the image;
- analyze the image to extract feature information corresponding to the feature from the image;
- determine, based on the image and the pose data, geo-location information corresponding to the feature;
- and
- append the geo-location information to the feature information;
- store the feature information as part of a feature map layer of a digital map;
- and
- provide at least a portion of the digital map to a routing and navigation system.
Dependencies are inferred from the claim text.