Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: A reciprocating foamer pump avoids problems encountered when conventional foamer pumps are exposed to freezing temperatures. In particular, the inventive pump provides an extra-secure connection between air and liquid piston members (200,300). Additionally, a tortuous air inlet (210) is provided to the foamer chamber (136) so as to prevent melted liquid from draining and accumulating in the air chamber.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Methods, devices, and systems for aircraft identification are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to simulate virtual light detection and ranging (Lidar) sensor data for a three-dimensional (3D) model of an aircraft type to generate a first point cloud corresponding to the 3D model of the aircraft type, generate a classification model utilizing the simulated virtual Lidar sensor data of the 3D model of the aircraft type, and identify a type and/or sub-type of an incoming aircraft at an airport by receiving, from a Lidar sensor at the airport, Lidar sensor data for the incoming aircraft, generating a second point cloud corresponding to the incoming aircraft utilizing the Lidar sensor data for the incoming aircraft, and classifying the second point cloud corresponding to the incoming aircraft using the classification model.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: The present invention is an induction control system for an autonomous-traveling vehicle that performs traveling and work autonomously while measuring the position of the traveling vehicle by using a satellite positioning system, the induction control system being characterized by, when the autonomous-traveling vehicle is moved backward, setting a virtual antenna position more backward, by a predetermined distance, than the antenna position of the satellite positioning system, and performing a lateral control by using a lateral deviation from a target path at the virtual antenna position. This makes it possible to travel along a pre-designed target path during a forward movement, turning, and a backward movement of the autonomous-traveling vehicle.

Abstract: Generally discussed herein are methods and apparatuses that can reduce conflicts in an area including vehicles. An apparatus can include transceiver circuitry, and conflict detection circuitry to receive a position of a vehicle in a geographical area that is segmented into discrete cells, determine whether the position is situated in a cell of the cells that includes a polygonal area representing an extended restricted area within the cell, and the extended restricted area completely within the polygonal area, in response to a determination the position is situated within the polygonal area, determine whether the position is situated within the extended restricted area, and in response to a determination the position is situated within the extended restricted area, provide one or more signals to the transceiver circuitry to cause the transceiver circuitry to transmit an alert to the vehicle indicating that a conflict exists.

Abstract: The present invention is an induction control system for an autonomous-traveling vehicle that performs traveling and work autonomously while measuring the position of the traveling vehicle by using a satellite positioning system, the induction control system being characterized by, when the autonomous-traveling vehicle is moved backward, setting a virtual antenna position more backward, by a predetermined distance, than the antenna position of the satellite positioning system, and performing a lateral control by using a lateral deviation from a target path at the virtual antenna position. This makes it possible to travel along a pre-designed target path during a forward movement, turning, and a backward movement of the autonomous-traveling vehicle.

Abstract: Devices, methods, and systems for routing aircraft ground movements at an airport are described herein. One device includes a memory, a processor configured to execute executable instructions stored in the memory to receive information associated with current aircraft ground movements at an airport and determine a possible adjustment to a current aircraft ground movement route at the airport based, at least in part, on the information associated with the current aircraft ground movements, and a user interface configured to provide the possible adjustment to the current aircraft ground movement route to a user of the device.

Abstract: A method for preprocessing sensor data applicable to sensor fusion for one or more sensors mounted on a vehicle is presented. The method comprises obtaining sensor data relating to common obstacles between the vision sensors and a lidar sensor, calculating range and azimuth values for the common obstacles from the lidar sensor data, and calculating range and azimuth values for the common obstacles from the vision sensor data. Then the method correlates the lidar sensor data pertaining to the common obstacles with the vision sensors pixels, formulates translations between the range values of the common obstacles and the one or more sensor tilt parameters, and performs recursive least squares to estimate an estimated sensor tilt for the vision sensors that can reduce range errors in the vision sensors.