The Experts below are selected from a list of 4605 Experts worldwide ranked by ideXlab platform
Fraser M Smith - One of the best experts on this subject based on the ideXlab platform.
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hull robot with hull separation countermeasures
2013Co-Authors: Fraser M SmithAbstract:A hull robot is disclosed for operation on a surface of a hull of a vessel. The robot can include a drive Subsystem onboard the robot for driving and maneuvering the robot about the hull. A Sensor Subsystem onboard the robot can sense an attachment state of the robot to the hull. The attachment state can include at least one of attached and detached. A signal generation Subsystem onboard the robot can emit a distress signal when the attachment state is detached.
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vessel hull robot navigation Subsystem
2011Co-Authors: James H Rooney, Stephen C. Jacobsen, Fraser M SmithAbstract:A vessel hull robot navigation Subsystem and method for a robot including a drive Subsystem onboard the robot for driving the robot about the hull. A Sensor Subsystem onboard the robot outputs data combining robot and vessel motion. A memory onboard the robot includes data concerning the configuration of the hull and a desired path of travel for the robot. A fix Subsystem communicates position fix data to the robot. A navigation processor onboard the robot is responsive to the memory data, the Sensor Subsystem, the position fix data, and the data concerning vessel motion. The navigation processor is configured to determine the position of the robot on the hull by canceling, form the Sensor Subsystem output data combining both robot and vessel motion, the determined vessel motion. The navigation processor controls the drive Subsystem to maneuver the robot on the hull based on the fix data, the configuration of the hull, the desired path of travel for the robot, and the determined position of the robot on the hull.
Joseph L Jones - One of the best experts on this subject based on the ideXlab platform.
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obstacle following Sensor scheme for a mobile robot
2008Co-Authors: Christopher M Casey, Matthew Cross, Daniel N Ozick, Joseph L JonesAbstract:A robot obstacle detection system including a robot housing which navigates with respect to a surface and a Sensor Subsystem aimed at the surface for detecting the surface. The Sensor Subsystem includes an emitter which emits a signal having a field of emission and a photon detector having a field of view which intersects the field of emission at a region. The Subsystem detects the presence of an object proximate the mobile robot and determines a value of a signal corresponding to the object. It compares the value to a predetermined value, moves the mobile robot in response to the comparison, and updates the predetermined value upon the occurrence of an event.
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robot obstacle detection system
2003Co-Authors: Joseph L JonesAbstract:A robot obstacle detection system including a robot housing which navigates with respect to a surface and a Sensor Subsystem having a defined relationship with respect to the housing and aimed at the surface for detecting the surface. The Sensor Subsystem includes an optical emitter which emits a directed beam having a defined field of emission and a photon detector having a defined field of view which intersects the field of emission of the emitter at a region. A circuit in communication with a detector redirects the robot when the surface does not occupy the region to avoid obstacles. A similar system is employed to detect walls.
Nicolas Fezans - One of the best experts on this subject based on the ideXlab platform.
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airborne doppler lidar Sensor parameter analysis for wake vortex impact alleviation purposes
2015Co-Authors: Jana Ehlers, Nicolas FezansAbstract:This paper presents a sensitivity study of a wake vortex impact alleviation system based on an airborne forward-looking Doppler LiDAR Sensor. The basic principle of the system is to use this Sensor to measure the wind remotely ahead of the aircraft. On the basis of these measurements the system estimates whether a wake vortex is located in front of the aircraft. If this is the case, the wake vortex characteristics are identified and the control deflections countervailing the wake-induced aircraft response are computed and applied. An integrated simulation environment comprising a full nonlinear 6-DoF A320 model (with control laws), wake vortex models, and the wake impact alleviation algorithms was developed. The LiDAR Sensor Subsystem has many design parameters that influence the overall performance in a complex way, which makes it difficult to derive adequate requirements. The presented parameter study provides first insights into the role of each parameter as well as some adequate parameter combinations.
Mulugeta Petros - One of the best experts on this subject based on the ideXlab platform.
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coherent pulsed lidar sensing of wake vortex position and strength winds and turbulence in the terminal area
1999Co-Authors: Philip Brockman, Ben C Barker, Grady J Koch, Dung Phu Chi Nguyen, Charles L Britt, Mulugeta PetrosAbstract:NASA Langley Research Center (LaRC) has field tested a 2.0 gm, 100 Hertz, pulsed coherent lidar to detect and characterize wake vortices and to measure atmospheric winds and turbulence. The quantification of aircraft wake-vortex hazards is being addressed by the Wake Vortex Lidar (WVL) Project as part of Aircraft Vortex Spacing System (AVOSS), which is under the Reduced Spacing Operations Element of the Terminal Area Productivity (TAP) Program. These hazards currently set the minimum, fixed separation distance between two aircraft and affect the number of takeoff and landing operations on a single runway under Instrument Meteorological Conditions (IMC). The AVOSS concept seeks to safely reduce aircraft separation distances, when weather conditions permit, to increase the operational capacity of major airports. The current NASA wake-vortex research efforts focus on developing and validating wake vortex encounter models, wake decay and advection models, and wake sensing technologies. These technologies will be incorporated into an automated AVOSS that can properly select safe separation distances for different weather conditions, based on the aircraft pair and predicted/measured vortex behavior. The Sensor Subsystem efforts focus on developing and validating wake sensing technologies. The lidar system has been field-tested to provide real-time wake vortex trajectory and strength data to AVOSS for wake prediction verification. Wake vortices, atmospheric winds, and turbulence products have been generated from processing the lidar data collected during deployments to Norfolk (ORF), John F. Kennedy (JFK), and Dallas/Fort Worth (DFW) International Airports.
Christopher M Casey - One of the best experts on this subject based on the ideXlab platform.
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obstacle following Sensor scheme for a mobile robot
2008Co-Authors: Christopher M Casey, Matthew Cross, Daniel N Ozick, Joseph L JonesAbstract:A robot obstacle detection system including a robot housing which navigates with respect to a surface and a Sensor Subsystem aimed at the surface for detecting the surface. The Sensor Subsystem includes an emitter which emits a signal having a field of emission and a photon detector having a field of view which intersects the field of emission at a region. The Subsystem detects the presence of an object proximate the mobile robot and determines a value of a signal corresponding to the object. It compares the value to a predetermined value, moves the mobile robot in response to the comparison, and updates the predetermined value upon the occurrence of an event.
