Abstract:
A position of a marking device is monitored by receiving start position information indicative of an initial position of the marking device, capturing one or more images using one or more camera systems attached to the marking device, and analyzing the image(s) to determine tracking information indicative of a motion of the marking device. The tracking information and the start position information are then analyzed to determine current position information. In one example, images of a target surface over which the marking device is carried are analyzed pursuant to an optical flow algorithm to provide estimates of relative position for a dead-reckoning process, and the current position information is determined based on the estimates of relative position and the start position information. In another example, a geo-location device is used to generate geo-location data indicative of positions of the marking device as it traverses at least a first portion of the path. The camera system(s) are used to obtain optical flow-based dead reckoning data indicative of relative positions of the marking device as it traverses at least a second portion of the path.
Abstract:
A position of a marking device is monitored by receiving start position information indicative of an initial position of the marking device, capturing one or more images using one or more camera systems attached to the marking device, and analyzing the image(s) to determine tracking information indicative of a motion of the marking device. The tracking information and the start position information are then analyzed to determine current position information. In one example, images of a target surface over which the marking device is carried are analyzed pursuant to an optical flow algorithm to provide estimates of relative position for a dead-reckoning process, and the current position information is determined based on the estimates of relative position and the start position information. In another example, a geo-location device is used to generate geo-location data indicative of positions of the marking device as it traverses at least a first portion of the path. The camera system(s) are used to obtain optical flow-based dead reckoning data indicative of relative positions of the marking device as it traverses at least a second portion of the path.
Abstract:
A position of a marking device is monitored by receiving start position information indicative of an initial position of the marking device, capturing one or more images using one or more camera systems attached to the marking device, and analyzing the image(s) to determine tracking information indicative of a motion of the marking device. The tracking information and the start position information are then analyzed to determine current position information. In one example, images of a target surface over which the marking device is carried are analyzed pursuant to an optical flow algorithm to provide estimates of relative position for a dead-reckoning process, and the current position information is determined based on the estimates of relative position and the start position information. In another example, a geo-location device is used to generate geo-location data indicative of positions of the marking device as it traverses at least a first portion of the path. The camera system(s) are used to obtain optical flow-based dead reckoning data indicative of relative positions of the marking device as it traverses at least a second portion of the path.
Abstract:
Systems, methods, and apparatus for determining a color of marking material dispensed by a marking device onto a surface to mark a presence or an absence of at least one underground facility within a dig area that is planned to be excavated or disturbed during excavation activities. In some embodiments, one or more camera systems (e.g., digital video cameras) are mounted on a marking device to capture information (e.g., one or more of image information, color information, motion information and light level information) relating to the surface being marked. The camera system(s) may be mounted near a nozzle of a marking material dispenser, so as to capture information relating to freshly dispensed marking material on the surface being marked. The captured information may be analyzed to determine a color of the freshly dispensed marking material, which may then be correlated with a type of facilities being marked.
Abstract:
Systems, methods, and apparatus for performing surface type detection in connection with locate and marking operations. In some embodiments, one or more sensors (e.g., radiation sensors, acoustic sensors, color sensors, light sensors, etc.) may be employed to collect information regarding a surface, such as a ground surface on which marking material is to be dispensed to mark the presence or absence of an underground facility. The collected sensor data may be analyzed to provide an estimate of a type of the surface that is being sensed. For example, a still-image or video camera may be used as a sensor that detects visible light reflecting from a surface. One or more images of the surface captured by the camera may be analyzed using some suitable image analysis software to identify one or more characteristics (e.g., color, intensity, randomness, presence/absence of lines, etc.) that may be indicative of a surface type. As another example, one or more radiation sensors may be employed to measure an amount of electromagnetic radiation reflected by the sensed surface one or more selected wavelengths or ranges of wavelengths to identify a spectral signature that may also be indicative of a surface type.
Abstract:
Systems, methods, and apparatus for determining a color of marking material dispensed by a marking device onto a surface to mark a presence or an absence of at least one underground facility within a dig area that is planned to be excavated or disturbed during excavation activities. In some embodiments, one or more camera systems (e.g., digital video cameras) are mounted on a marking device to capture information (e.g., one or more of image information, color information, motion information and light level information) relating to the surface being marked. The camera system(s) may be mounted near a nozzle of a marking material dispenser, so as to capture information relating to freshly dispensed marking material on the surface being marked. The captured information may be analyzed to determine a color of the freshly dispensed marking material, which may then be correlated with a type of facilities being marked.
Abstract:
Systems, methods, and apparatus for performing surface type detection in connection with locate and marking operations. In some embodiments, one or more sensors (e.g., radiation sensors, acoustic sensors, color sensors, light sensors, etc.) may be employed to collect information regarding a surface, such as a ground surface on which marking material is to be dispensed to mark the presence or absence of an underground facility. The collected sensor data may be analyzed to provide an estimate of a type of the surface that is being sensed. For example, a still-image or video camera may be used as a sensor that detects visible light reflecting from a surface. One or more images of the surface captured by the camera may be analyzed using some suitable image analysis software to identify one or more characteristics (e.g., color, intensity, randomness, presence/absence of lines, etc.) that may be indicative of a surface type. As another example, one or more radiation sensors may be employed to measure an amount of electromagnetic radiation reflected by the sensed surface one or more selected wavelengths or ranges of wavelengths to identify a spectral signature that may also be indicative of a surface type.
Abstract:
Systems, methods, and apparatus for performing surface type detection in connection with locate and marking operations. In some embodiments, one or more sensors (e.g., radiation sensors, acoustic sensors, color sensors, light sensors, etc.) may be employed to collect information regarding a surface, such as a ground surface on which marking material is to be dispensed to mark the presence or absence of an underground facility. The collected sensor data may be analyzed to provide an estimate of a type of the surface that is being sensed. For example, a still-image or video camera may be used as a sensor that detects visible light reflecting from a surface. One or more images of the surface captured by the camera may be analyzed using some suitable image analysis software to identify one or more characteristics (e.g., color, intensity, randomness, presence/absence of lines, etc.) that may be indicative of a surface type. As another example, one or more radiation sensors may be employed to measure an amount of electromagnetic radiation reflected by the sensed surface one or more selected wavelengths or ranges of wavelengths to identify a spectral signature that may also be indicative of a surface type.