Abstract: The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A blade head for granulating strands of material comprises a blade carrier and at least one granulating blade fastened thereto. The respective granulating blade is fastened to a positioning component which bears against the blade carrier for the rough positioning of the granulating blade. For fine positioning purposes, at least one adjusting element bears against the respective granulating blade. The blade head permits simple, user-friendly and precise assembly and setting of the respective granulating blade.

Abstract: Described herein are a system and techniques for performing partially or fully automatic retopology of an object model. In some embodiments, the techniques may involve categorizing and/or segmenting an object model into a number of regions. 3D data in each region may then be compared to 3D data in corresponding regions for a number of similar object models in order to identify a closest matching corresponding region. The techniques may also involve identifying a set of edges stored in relation to each closest matching corresponding region for each region of an object model. Each set of edges may be conformed to the 3D data of its corresponding region. Once conformed, the sets of edges may be compiled into a cage for the object model, from which a mesh may be generated.

Abstract: Techniques described herein are directed to a system and methods for generating 3D models of an object which accurately depict reflective properties of the object. To do this, an image of an object is captured and a rendered image of the object is generated from the image. The system then generates a lighting effect which approximates an effect of the actual light source on the appearance of the object when the image was captured. A number of rendered images of the object are generated using the lighting effect, each having different visual material property values. Once the rendered images have been generated, the system may compare the generated rendered images to the actual image in order to identify the rendered image which best approximates the actual image. The visual material property values associated with the best approximation are then assigned to the object.

Abstract: Described herein are a system and techniques for performing partially or fully automatic retopology of an object model. In some embodiments, the techniques may involve categorizing and/or segmenting an object model into a number of regions. 3D data in each region may then be compared to 3D data in corresponding regions for a number of similar object models in order to identify a closest matching corresponding region. The techniques may also involve identifying a set of edges stored in relation to each closest matching corresponding region for each region of an object model. Each set of edges may be conformed to the 3D data of its corresponding region. Once conformed, the sets of edges may be compiled into a cage for the object model, from which a mesh may be generated.

Abstract: Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, a stochastic shape distribution may be applied upon an object to be modeled in invisible ink. The system activates a first lighting mode which causes the stochastic shape distribution to be visible and captures a first set of images that depict the stochastic shape distribution on the object. The system then activates a second lighting mode that causes the stochastic shape distribution to be hidden and captures images of the object as it would normally appear (without the stochastic shape distribution). The images having the stochastic shape distribution may be used to determine alignment information for the images within the set of images. That alignment information may then be attributed to the second set of images and used to generate the 3D model.

Abstract: Techniques described herein are directed to a system and methods for generating 3D models of an object which accurately depict reflective properties of the object. To do this, an image of an object is captured and a rendered image of the object is generated from the image. The system then generates a lighting effect which approximates an effect of the actual light source on the appearance of the object when the image was captured. A number of rendered images of the object are generated using the lighting effect, each having different visual material property values. Once the rendered images have been generated, the system may compare the generated rendered images to the actual image in order to identify the rendered image which best approximates the actual image. The visual material property values associated with the best approximation are then assigned to the object.

Abstract: Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, a stochastic shape distribution may be applied upon an object to be modeled in invisible ink. The system activates a first lighting mode which causes the stochastic shape distribution to be visible and captures a first set of images that depict the stochastic shape distribution on the object. The system then activates a second lighting mode that causes the stochastic shape distribution to be hidden and captures images of the object as it would normally appear (without the stochastic shape distribution). The images having the stochastic shape distribution may be used to determine alignment information for the images within the set of images. That alignment information may then be attributed to the second set of images and used to generate the 3D model.

Abstract: Techniques described herein are directed to a system and methods for generating 3D models of an object which accurately depict reflective properties of the object. To do this, an image of an object is captured and a rendered image of the object is generated from the image. The system then generates a lighting effect which approximates an effect of the actual light source on the appearance of the object when the image was captured. A number of rendered images of the object are generated using the lighting effect, each having different visual material property values. Once the rendered images have been generated, the system may compare the generated rendered images to the actual image in order to identify the rendered image which best approximates the actual image. The visual material property values associated with the best approximation are then assigned to the object.

Abstract: Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, the system may determine a depth or range between an object and the array of camera device. Based on this depth information, the system may automatically identify appropriate framing information for that array of camera devices based on operational constraints. One or more properties of the camera devices in the array of camera devices may then be adjusted in order to obtain image information in accordance with the identified framing information. The object may then be rotated in accordance with the operational constraints and the process may be repeated until a full set of images has been obtained.

Abstract: Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, the system may determine a depth or range between an object and the array of camera device. Based on this depth information, the system may automatically identify appropriate framing information for that array of camera devices based on operational constraints. One or more properties of the camera devices in the array of camera devices may then be adjusted in order to obtain image information in accordance with the identified framing information. The object may then be rotated in accordance with the operational constraints and the process may be repeated until a full set of images has been obtained.

Abstract: Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, a stochastic shape distribution may be applied upon an object to be modeled in invisible ink. The system activates a first lighting mode which causes the stochastic shape distribution to be visible and captures a first set of images that depict the stochastic shape distribution on the object. The system then activates a second lighting mode that causes the stochastic shape distribution to be hidden and captures images of the object as it would normally appear (without the stochastic shape distribution). The images having the stochastic shape distribution may be used to determine alignment information for the images within the set of images. That alignment information may then be attributed to the second set of images and used to generate the 3D model.

Abstract: A system for determining densities and proportions of phases in a multi-phase fluid flow (MFF) that can include an oil phase, a water phase, and a gas phase from a well. The system includes a first density sensor that senses the MFF at locations where the phases of the MFF are often separated, a second density sensor senses the MFF from the output of a phase mixer-homogenizer, and a third density sensor that senses, in real time, the MFF where the gas phase starts to separate or has separated from the liquid phase but where the liquid phases have not separated. The system also includes one or more processors for executing one or more programs to determine a density of the oil phase, a density of the water phase, a density of the gas phase, and proportions of phases including a water cut and a gas volume fraction based on readings from the first, second, and third density sensors.

Abstract: An ultrasonic signal coupler includes a pipe having a first ultrasonic waveguide and a second ultrasonic waveguide penetrating the pipe so that ultrasonic transducers attached to ends of the ultrasonic waveguides communicate ultrasonic signals through the ultrasonic waveguides directly through a fluid traveling through the pipe.

Abstract: A method and system for measuring characteristics of an acoustic signal traveling through a fluid in a pipe uses an ultrasonic transducer attached directly to the pipe. The transducer is disposed in a housing attached to an outside surface of a flange of the pipe. The transducer fires an acoustic signal and its characteristics are measured.

Abstract: An ultrasonic signal coupling assembly including ultrasonic transducers attached to one or more ultrasonic couplers configured to be coupled to an exterior surface of a pipe. A height of the ultrasonic coupler or couplers is greater than a thickness of the pipe by a factor of about five or more, and a length of the ultrasonic coupler or couplers is greater than the height of the ultrasonic coupler or couplers.

Abstract: A system for determining densities and proportions of phases in a multi-phase fluid flow (MFF) that can include an oil phase, a water phase, and a gas phase from a well. The system includes a first density sensor that senses the MFF at locations where the phases of the MFF are often separated, a second density sensor senses the MFF from the output of a phase mixer-homogenizer, and a third density sensor that senses, in real time, the MFF where the gas phase starts to separate or has separated from the liquid phase but where the liquid phases have not separated. The system also includes one or more processors for executing one or more programs to determine a density of the oil phase, a density of the water phase, a density of the gas phase, and proportions of phases including a water cut and a gas volume fraction based on readings from the first, second, and third density sensors.

Abstract: An ultrasonic signal coupling assembly including ultrasonic transducers attached to one or more ultrasonic couplers configured to be coupled to an exterior surface of a pipe. A height of the ultrasonic coupler or couplers is greater than a thickness of the pipe by a factor of about five or more, and a length of the ultrasonic coupler or couplers is greater than the height of the ultrasonic coupler or couplers.

Abstract: An ultrasonic signal coupler includes a pipe having a first ultrasonic waveguide and a second ultrasonic waveguide penetrating the pipe so that ultrasonic transducers attached to ends of the ultrasonic waveguides communicate ultrasonic signals through the ultrasonic waveguides directly through a fluid traveling through the pipe.

Abstract: An ultrasonic coupler assembly for coupling an ultrasonic transducer to a pipe wall is disclosed, wherein the ultrasonic coupler is configured using three quadrilateral sections to reduce the temperature extreme to which the ultrasonic transducer is exposed and to improve the quality of the ultrasonic signal passing through the ultrasonic coupler.