An aircraft display system to present a real-time, three-dimensional depiction of a region around an aircraft, where this three-dimensional depiction is fixed to the aircraft's coordinate location and attitude. As the aircraft moves in attitude (e.g. roll, pitch, or yaw), in altitude (e.g., climbing and descending), and/or laterally, the three-dimensional depiction tilts and moves with the aircraft. The display may include a three-dimensional volumetric representation that may identify and prioritize hazards in the region around the aircraft. The aircraft display system may combine data from a plurality of sensors into a composite, real-time, three-dimensional synthetic vision display that determines a priority for each hazard.

Each of a plurality of signal measurement circuits is included in a terminal. Each measurement circuit receives a signal from a transmitter in a satellite and measures characteristics of the signal. A computer is programmed to receive data from the signal measurement circuits. The data indicates characteristics of the signal, including a strength of the signal. The computer determines an initial estimated satellite pointing direction, and generates subsequent estimated satellite pointing directions. For the initial and subsequent estimated pointing directions, the strength of the signal received by each measurement circuit is compared with an expected strength of the signal based on the respective estimated pointing direction. Each subsequent estimate is based at least in part on the comparison of the immediately preceding estimate. Based on the comparisons, the computer estimates a current satellite pointing direction.

The present disclosure relates to autonomous driving technology, and provides a method and an apparatus for positioning a movable device, as well as a movable device. The method includes: obtaining point cloud data for a predetermined area above the movable device; extracting, from the point cloud data, a first type of point cloud and a second type of point cloud on a left side and a right side of the movable device, respectively; matching the first type of point cloud and the second type of point cloud to obtain a transform matrix; and determining pose information of the movable device based on the transform matrix. With the above process, the present disclosure can solve the problem in the related art associated with accurate positioning of a movable device when GNSS signals are affected and it is difficult to accurately obtain point cloud data in front of the movable device.

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.

One aspect of this disclosure provides an apparatus for wireless communication. The apparatus comprises a plurality of antennas and a processing system. The processing system is configured to transmit a first signal to and receive a second signal from an wireless node via each of the antennas. The processing system is further configured to determine a plurality of distances between each of the plurality of antennas and the wireless node based on the signals. The processing system is also configured to identify a position of each of the antennas in relation to the wireless node based on a known distance between two antennas of the plurality of antennas in a pair and the determined distances. The processing system is further also configured to command a movement of the apparatus based, at least in part, on the identified positions.

Methods and systems are provided for mobile platforms. A mobile platform comprises a body and a radar system. The body includes a wheel assembly, and the radar system is installed on the wheel assembly.

An estimation device includes: M transmission antenna elements each transmitting a first transmission signal; N transmitter-receivers each including a reception antenna element and receiving, over a predetermined period, a first reception signal including a reflection signal that is the first transmission signal reflected by a first living body, using the reception antenna element; a memory storing training signals that are second reception signals obtained by causing the N transmitter-receivers to preliminarily receive second reception signals including reflection signals that are second transmission signals transmitted from the M transmission antenna elements to a second living body and reflected therefrom; a first vector calculator calculating a first vector for each training signal and each first reception signal by respective predetermined methods; and a circuit identifying the first living body or estimating an orientation of the first living body by a predetermined method, using correlation coefficients calculated from the first vectors.

Disclosed is a method for resetting the estimated position of a vehicle, including: —a step of receiving by a RADAR system a real RADAR image, —a step of acquiring an estimated position of the vehicle, —a step of calculating by a computer equipping the vehicle a simulated RADAR image, as a function of the estimated position of the vehicle and of a cartographic model of the environment of the vehicle, —a step of comparing the real RADAR image and the simulated RADAR image, and —a step of correcting the estimated position of the vehicle as a function of the result of the comparison.

Disclosed is an apparatus for tracking an object based on radar image reconstruction, the apparatus including a two-dimensional image producing unit configured to produce a two-dimensional image by collecting multiple one-dimensional radar signals from which clutter is removed, an object detecting unit configured to determine the presence or absence of an object from the two-dimensional image and estimate a two-dimensional position of the present object, and an object tracking unit configured to track a movement path of the object based on the two-dimensional position estimated by the object detecting unit.

Embodiments of the present disclosure relate to generating RADAR (RAdio Detection And Ranging) point clouds based on RADAR data obtained from one or more RADAR sensors disposed on one or more ego-machines. In these or other embodiments, the RADAR point clouds may be used to generate map data. Additionally or alternatively, the RADAR point clouds may be used for performing localization.