Abstract: Implementations described and claimed herein provide localization systems and methods using surface imaging. In one implementation, a raw image of a target surface is captured using at least one imager. The raw image is encoded into a template using at least one transform. The template specifies a course direction and an intensity gradient at one or more spatial frequencies of a pattern of the target surface. The template is compared to a subset of reference templates selected from a gallery stored in one or more storage media. A location of the target surface is identified when the template matches a reference template in the subset.

Abstract: Implementations described and claimed herein provide localization systems and methods using surface imaging. In one implementation, a raw image of a target surface is captured using at least one imager. The raw image is encoded into a template using at least one transform. The template specifies a course direction and an intensity gradient at one or more spatial frequencies of a pattern of the target surface. The template is compared to a subset of reference templates selected from a gallery stored in one or more storage media. A location of the target surface is identified when the template matches a reference template in the subset.

Abstract: Implementations described and claimed herein provide localization systems and methods using surface imaging. In one implementation, a raw image of a target surface is captured using at least one imager. The raw image is encoded into a template using at least one transform. The template specifies a course direction and an intensity gradient at one or more spatial frequencies of a pattern of the target surface. The template is compared to a subset of reference templates selected from a gallery stored in one or more storage media. A location of the target surface is identified when the template matches a reference template in the subset.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like, for controlling the projection of an array of lights or an image from a headlight of a vehicle in response to information provided by one or more sensors or user inputs. The projection may be utilized to highlight an object in or near the path of travel of a vehicle. In another example, the headlight may be controlled to adjust the contrast across the field of view of the headlight. In addition, the system may project one or more images onto an object or surface either in the path of the vehicle or within the field of view of the headlight, projecting a “next step” in a series of navigation instructions onto the road, and/or projecting an indication of a movement of the vehicle to warn people around the vehicle of the movement of the vehicle. One or more visual effects may also be incorporated into the system to enhance the visibility of objects.

Abstract: Implementations described and claimed herein provide localization systems and methods using surface imaging. In one implementation, a raw image of a target surface is captured using at least one imager. The raw image is encoded into a template using at least one transform. The template specifies a course direction and an intensity gradient at one or more spatial frequencies of a pattern of the target surface. The template is compared to a subset of reference templates selected from a gallery stored in one or more storage media. A location of the target surface is identified when the template matches a reference template in the subset.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like, for controlling the projection of an array of lights or an image from a headlight of a vehicle in response to information provided by one or more sensors or user inputs. The projection may be utilized to highlight an object in or near the path of travel of a vehicle. In another example, the headlight may be controlled to adjust the contrast across the field of view of the headlight. In addition, the system may project one or more images onto an object or surface either in the path of the vehicle or within the field of view of the headlight, projecting a “next step” in a series of navigation instructions onto the road, and/or projecting an indication of a movement of the vehicle to warn people around the vehicle of the movement of the vehicle. One or more visual effects may also be incorporated into the system to enhance the visibility of objects.