Abstract: An anchoring system for an autonomous underwater robotic (AUR) vehicle used in fluid pipe inspection is disclosed. The system includes one or more extending or anchoring arms positioned on upper and lower sides of the AUR and a motorized actuator configured to extend and retract the arms under control of an onboard controller. The arms apply a controlled compressive force against an interior pipe wall to secure the AUR while maintaining a non-invasive contact profile that prevents surface damage. Optional features include soft end pads, telescoping or sliding arm structures, compression feedback control, spring-biased retraction, and pressure-resistant housings for submerged use. The controller may automatically synchronize or independently operate the arms to compensate for varying pipe diameters. The anchoring system stabilizes the AUR during inspection, data transfer, or recharging operations within fluid-filled pipelines.

Abstract: A system includes photodetectors each having a field of view and reflectors each respectively aimed at one of the fields of view. A beam-steering device is movable to different positions aimed at the different reflectors. A light emitter is aimed at the beam-steering device. The beam-steering device alternates aim between the reflectors to selectively illuminate the different fields of view.

Abstract: A LIDAR system includes a transmitter unit constructed and arranged to generate light and a photodetector structure for detecting received, reflected light. An actively tunable narrow band optical filter structure is located upstream of the photodetector structure to filter out wavelengths of light associated with sunlight prior to being received by the photodetector structure. The filter structure is constructed and arranged to change optical filtering thereof so as to change wavelengths of light permitted to pass there-through. A photodiode detects light passing through the filter structure. A control unit is associated with the photodiode and the filter structure and is constructed and arranged such that based on the light detected by the photodiode, the control unit can cause the filter structure to change the optical filtering thereof by heating or rotating the filter structure so as to compensate for drifting or broadening of a wavelength of the transmitter unit.

Abstract: A Lidar system includes an array of photodetectors. The system includes a beam-steering device and a light emitter aimed at the beam-steering device. The beam-steering device is designed to aim light from the light emitter into a field of illumination positioned to be detected by a segment of the array of photodetectors. The segment is smaller than the array. The system includes a computer having a processor and memory storing instructions executable by the processor to adjust the aim of the beam-steering device to move the field of illumination relative to the array of photodetectors.

Abstract: A system includes photodetectors each having a field of view and reflectors each respectively aimed at one of the fields of view. A beam-steering device is movable to different positions aimed at the different reflectors. A light emitter is aimed at the beam-steering device. The beam-steering device alternates aim between the reflectors to selectively illuminate the different fields of view.

Abstract: A Lidar system includes a casing, a light emitter stationary relative to the casing, and a photodetector pivotally supported by the casing. The system includes a reflector assembly and the light emitter is aimed at the reflector assembly. The reflector assembly includes a rotational shaft and a reflector is fixed to the rotational shaft. A rotational motor is engaged with the rotational shaft. The aim of the photodetector may be adjusted, and the rotational motor may independently adjust the reflector assembly to correspondingly aim the reflector assembly.

Abstract: A light detection and ranging (Lidar) system includes a light emitter that emits light into a field of illumination and a photodetector that has a field of view that overlaps the field of illumination. The system detects the emitted light that is reflected by an object in the fields of view. The system independently adjusts the vertical and/or horizontal aim of the field of illumination and the vertical field of view to align the field of illumination and the field of view.

Abstract: A LIDAR system includes a transmitter unit constructed and arranged to generate light and a photodetector structure for detecting received, reflected light. An actively tunable narrow band optical filter structure is located upstream of the photodetector structure to filter out wavelengths of light associated with sunlight prior to being received by the photodetector structure. The filter structure is constructed and arranged to change optical filtering thereof so as to change wavelengths of light permitted to pass there-through. A photodiode detects light passing through the filter structure. A control unit is associated with the photodiode and the filter structure and is constructed and arranged such that based on the light detected by the photodiode, the control unit can cause the filter structure to change the optical filtering thereof by heating or rotating the filter structure so as to compensate for drifting or broadening of a wavelength of the transmitter unit.

Abstract: A Lidar system includes a first photodetector having a first field of view and a second photodetector having a second field of view. The system includes a first light source aimed at the first field of view and a second light source aimed at the second field of view. The system is designed to distinguish between light reflected by an object in the first field of view and light reflected by an object in the second field of view.

Abstract: A lidar sensor assembly includes a first lidar sensor having a first light source configured to generate light at a first wavelength and a first detector configured to receive reflected light at the first wavelength. The lidar sensor assembly also includes a second lidar sensor having a second light source to generate light at a second wavelength and a second detector configured to receive reflected light in the second wavelength. The first wavelength is different from the second wavelength such that interference between the first light source and the second light source is minimized.

Abstract: Technologies for dynamic automated content discovery include a computing device that determines a contextual part of a document selected by a user and extracts one or more key terms from the contextual part of the document using an automated key phrase extraction algorithm. The computing device may perform a syntactic algorithm, named entity recognition, or the TextRank algorithm. The computing device may calculate a vagueness score for terms of the document by querying a semantic database and select the key terms based on the corresponding vagueness scores. The computing device performs a content search based on the key terms to generate one or more search results and presents the search results to the user. The computing device may associate each of the search results with the corresponding key term of the contextual part of the document, for example by visually highlighting the key term. Other embodiments are described and claimed.

Abstract: Systems and methods for identifying and locating related content using natural language processing are generally disclosed herein. One embodiment includes an HTML5/JavaScript user interface configured to execute scripting commands to perform natural language processing and related content searches, and to provide a dynamic interface that enables both user-interactive and automatic methods of obtaining and displaying related content. The natural language processing may extract one or more context-sensitive key terms of text associated with a set of content. Related content may be located and identified using keyword searches that include the context-sensitive key terms. For example, text associated with video of a first content, such as text originating from subtitles or closed captioning, may be used to perform searches and locate related content such as a video of a second content, or text of a third content.

Abstract: Methods and systems may involve storing device-specific user preference data to a local device and receiving a real-time request from a remote device. One or more user coefficients may be used to filter the device-specific user preference data in response to the request. In one example, the user preference data includes keyword data and the filtered keyword data is used to discover and present information to the user via the remote device.

Abstract: Systems and methods for identifying and locating related content using natural language processing are generally disclosed herein. One embodiment includes an HTML5/JavaScript user interface configured to execute scripting commands to perform natural language processing and related content searches, and to provide a dynamic interface that enables both user-interactive and automatic methods of obtaining and displaying related content. The natural language processing may extract one or more context-sensitive key terms of text associated with a set of content. Related content may be located and identified using keyword searches that include the context-sensitive key terms. For example, text associated with video of a first content, such as text originating from subtitles or closed captioning, may be used to perform searches and locate related content such as a video of a second content, or text of a third content.

Abstract: Systems and methods for identifying and locating related content using natural language processing are generally disclosed herein. One embodiment includes an HTML5/JavaScript user interface configured to execute scripting commands to perform natural language processing and related content searches, and to provide a dynamic interface that enables both user-interactive and automatic methods of obtaining and displaying related content. The natural language processing may extract one or more context-sensitive key terms of text associated with a set of content. Related content may be located and identified using keyword searches that include the context-sensitive key terms. For example, text associated with video of a first content, such as text originating from subtitles or closed captioning, may be used to perform searches and locate related content such as a video of a second content, or text of a third content.

Abstract: Technologies for dynamic automated content discovery include a computing device that determines a contextual part of a document selected by a user and extracts one or more key terms from the contextual part of the document using an automated key phrase extraction algorithm. The computing device may perform a syntactic algorithm, named entity recognition, or the TextRank algorithm. The computing device may calculate a vagueness score for terms of the document by querying a semantic database and select the key terms based on the corresponding vagueness scores. The computing device performs a content search based on the key terms to generate one or more search results and presents the search results to the user. The computing device may associate each of the search results with the corresponding key term of the contextual part of the document, for example by visually highlighting the key term. Other embodiments are described and claimed.

Abstract: In one example embodiment, a program navigation system involves a television (TV) set (or other audio/visual presentation device) and a mobile device. While the TV set is playing an audio/visual program, a keyword recognition module may extract keywords from textual data associated with the program. The textual data may include textual words that match words spoken in the program. Time markers for the keywords may also be saved. A time marker may indicate a play time within the program for the corresponding keyword. The TV set may automatically transmit the keywords to the mobile device, and the mobile device may automatically display the keywords in a user interface. A user may then select one of the keywords. In response, the mobile device may automatically cause the TV set to jump to a portion of the program containing the selected keyword. Other embodiments are described and claimed.

Abstract: Methods and systems may include logic to receive a query for one or more channel suggestions, and search a database in response to the query, wherein the database includes keyword data associated with a plurality of display devices. The logic may also generate a list of channel suggestions based on the search.

Abstract: Methods and systems may involve storing device-specific user preference data to a local device and receiving a real-time request from a remote device. One or more user coefficients may be used to filter the device-specific user preference data in response to the request. In one example, the user preference data includes keyword data and the filtered keyword data is used to discover and present information to the user via the remote device.

Abstract: Systems and methods for identifying and locating related content using natural language processing are generally disclosed herein. One embodiment includes an HTML5/JavaScript user interface configured to execute scripting commands to perform natural language processing and related content searches, and to provide a dynamic interface that enables both user-interactive and automatic methods of obtaining and displaying related content. The natural language processing may extract one or more context-sensitive key terms of text associated with a set of content. Related content may be located and identified using keyword searches that include the context-sensitive key terms. For example, text associated with video of a first content, such as text originating from subtitles or closed captioning, may be used to perform searches and locate related content such as a video of a second content, or text of a third content.