Abstract: A system and method for localizing an autonomous vehicle using a digital stereo camera mounted to the autonomous vehicle and oriented to obtain images of the road surface. The system comprises an image processor configured to analyze the images of the road surface and identify micro-features, such as pores, holes, cracks, and granular material embedded in the street. The image processor is configured to compile previously obtained images of the road surface into reference mosaics and to compare the micro-features identified in newly obtained images to the reference mosaic to determine the location of the autonomous vehicle. The system may be further configured with a communications module to transmit images and localization information to a database repository or server.

Abstract: An autonomous urban transport vehicle (AUTV) to transport a user, including a tricycle including brakes and steering and a controller. The controller includes an autonomous mode processor to control the brakes and steering when the AUTV is in an autonomous mode. The controller also includes a manual mode processor to control manual mode functions of the AUTV when the AUTV is in a manual mode. The manual mode functions are exclusive of actuation of the brakes and steering.

Abstract: A system and method for localizing an autonomous vehicle using a digital stereo camera mounted to the autonomous vehicle and oriented to obtain images of the road surface. The system comprises an image processor configured to analyze the images of the road surface and identify micro-features, such as pores, holes, cracks, and granular material embedded in the street. The image processor is configured to compile previously obtained images of the road surface into reference mosaics and to compare the micro-features identified in newly obtained images to the reference mosaic to determine the location of the autonomous vehicle. The system may be further configured with a communications module to transmit images and localization information to a database repository or server.

Abstract: A system and method for detecting heliostat failures in a concentrating solar plant, the system comprising a plurality of stationary lights and cameras mounted to towers that surround, or are situated within, a field of heliostats. Heliostats may be commanded via a control system to move to a position wherein light may be expected to be reflected from a given stationary light to a given camera, whereupon a first set of images of the heliostat are taken. Heliostats may then be commanded via the control system to move to a position wherein light may no longer be expected to be reflected from said stationary light to said camera, whereupon a second set of images of the heliostat are taken. An image processor may search the first and second set of images to determine if reflected light is present. If reflected light from said stationary light is not found in the images, the heliostat may be determined to have experienced a failure mode. Failed heliostats may then be flagged for inspection, repair, or replacement.

Abstract: A drive assembly for a heliostat and a method of determining the drive's home position are described. The drive assembly comprises at least one mechanical hard stop for impeding the motion of an output gear of at least one gear transmission driven by a motor. Each hard stop may be built into the housing of a gear transmission or may be made integral with an output gear. The method for determining the drive assembly's home position comprises the steps of iteratively actuating an output gear towards, and then away from, a hard stop feature while monitoring the input torque of the driving motor. When the motor input torque is registered to be higher than a predetermined trip torque, the stepper motor is commanded to stop and the home position of the drive assembly is determined.

Abstract: A system and method for detecting heliostat failures in a concentrating solar plant, the system comprising a plurality of stationary lights and cameras mounted to towers that surround, or are situated within, a field of heliostats. Heliostats may be commanded via a control system to move to a position wherein light may be expected to be reflected from a given stationary light to a given camera, whereupon a first set of images of the heliostat are taken. Heliostats may then be commanded via the control system to move to a position wherein light may no longer be expected to be reflected from said stationary light to said camera, whereupon a second set of images of the heliostat are taken. An image processor may search the first and second set of images to determine if reflected light is present. If reflected light from said stationary light is not found in the images, the heliostat may be determined to have experienced a failure mode. Failed heliostats may then be flagged for inspection, repair, or replacement.

Abstract: An automated deflectometry system and method for assessing the quality of a reflective surface for use in a concentrating solar power plant. The deflectometry system comprises a holding fixture for mounting a heliostat reflector opposite a target screen having a known pattern. Digital cameras embedded in the target screen take pictures of the known pattern as reflected in the surface of the reflector. Image processing software then detects the features of the pattern in the reflector images and calculates the slope profile of the reflective surface. The slope field can be calculated by comparing the images of the reflective surface to those of a reference surface. Based on the slope profile of the reflective surface, a ray tracing calculation can be performed to simulate flux as reflected from the reflective surface onto a receiver and a quality metric can be ascribed to the heliostat reflector. The result of the quality assessment can displayed using a graphical user interface on an automated assembly line.

Abstract: Systems and methods of calibrating heliostat parameters for subsequent open-loop sun-tracking, the calibration based on driving artificial light source reflections from one or more heliostats into one or more image sensors.

Abstract: Systems and methods of calibrating heliostat parameters for subsequent open-loop sun-tracking, the calibration based on driving artificial light source reflections from one or more heliostats into one or more image sensors.