G01S13/60

MOBILE DEVICE, A SYSTEM, AND A METHOD FOR HANDLING OBJECTS PROVIDED WITH RADIO FREQUENCY IDENTIFIERS
20230050026 · 2023-02-16 ·

A mobile device for handling objects includes a radio frequency identifier reader for receiving radiation emitted by object-specific radio frequency identifiers attached to the objects and radiation emitted by fixed radio frequency identifiers. The mobile device includes a processing system that computes a speed estimate for the mobile device based on a distance between two fixed radio frequency identifiers and a time-difference between receptions of radiation from these fixed radio frequency identifiers. The processing system determines, based on radiation received from each object-specific radio frequency identifier, a movement indicator indicative of movement of the mobile device with respect to the corresponding object. When the speed estimate exceeds a threshold, the processing system classifies objects which are moving in accordance with the movement indicator to be objects non-belonging to a load of the mobile device. The mobile device can be for example a forklift.

FLOW METER WITH ADAPTABLE BEAM CHARACTERISTICS

An embodiment provides a device for measuring a fluid parameter of fluid flow in a channel, including: a transmitter; at least one receiver; a processor operatively coupled to the at least one transmitter and the at least one receiver; a memory device that stores instructions executable by the processor to: transmit, using the transmitter, directed energy carrying a signal toward a surface of a fluid in a fluid channel, so as to produce one or more reflections from the fluid surface; detect, by the at least one receiver, one or more received signals associated with the one or more reflections so produced; determine, based upon a measurement beam comprising characteristics of the transmitted and received signals, one or more fluid parameters to be measured using a processor of the device; and associate, using a processor of the device, the one or more fluid parameters with a channel segment. Other embodiments are described and claimed.

SEPARATING WEAK AND STRONG MOVING TARGETS USING THE FRACTIONAL FOURIER TRANSFORM
20180011182 · 2018-01-11 · ·

The Fractional Fourier Transform (FrFT) may be used to extract multiple radar targets in clutter where some targets may be relatively weak. To do this, stronger targets may be removed by rotating to the proper axis t.sub.a using rotational parameter a, in which the target signal becomes a strong tone. By searching for the maximum peak over all values of a, stronger moving target echoes can be found and notched out, and weaker targets can then be extracted.

RADAR ALTIMETER INERTIAL VERTICAL LOOP

A system to provide navigation solutions for vehicle landing guidance comprises onboard aiding sensors, an IMU, a radar altimeter, a map database, and a navigation system including a navigation filter that outputs estimated kinematic state statistics for the vehicle. An onboard processor inputs horizontal and vertical position statistics from the navigation filter into the map database, and computes an estimated ground/object height, ground/object velocity, ground/object acceleration, and error statistics thereof, based on terrain and object map data. The processer includes a radar altimeter inertial vertical loop (RIVL) filter that determines relative vertical acceleration based on a difference between vehicle vertical acceleration and ground/object vertical acceleration; determines relative vertical velocity based on a difference between vehicle vertical velocity and ground/object vertical velocity; performs consistency checks on the relative vertical acceleration and relative vertical velocity; and outputs estimated vehicle vertical position and vertical velocity statistics for compensation of the navigation filter outputs.

RADAR ALTIMETER INERTIAL VERTICAL LOOP

A system to provide navigation solutions for vehicle landing guidance comprises onboard aiding sensors, an IMU, a radar altimeter, a map database, and a navigation system including a navigation filter that outputs estimated kinematic state statistics for the vehicle. An onboard processor inputs horizontal and vertical position statistics from the navigation filter into the map database, and computes an estimated ground/object height, ground/object velocity, ground/object acceleration, and error statistics thereof, based on terrain and object map data. The processer includes a radar altimeter inertial vertical loop (RIVL) filter that determines relative vertical acceleration based on a difference between vehicle vertical acceleration and ground/object vertical acceleration; determines relative vertical velocity based on a difference between vehicle vertical velocity and ground/object vertical velocity; performs consistency checks on the relative vertical acceleration and relative vertical velocity; and outputs estimated vehicle vertical position and vertical velocity statistics for compensation of the navigation filter outputs.

METHOD FOR IMPROVING AFFINITY OF ANTIBODY FOR ANTIGEN AND USE THEREOF
20230228866 · 2023-07-20 · ·

Disclosed is a method for improving affinity of an antibody for an antigen, comprising, in an unmodified antibody, improving affinity for an antigen as compared to the unmodified antibody, by changing 77th, 79th and 81st amino acid residues of a light chain defined by Kabat method to charged amino acid residues.

METHOD FOR DETERMINING A LONGITUDINAL SPEED OF A VEHICLE USING A RADAR SENSOR AND AN INSTALLATION ORIENTATION OF THE RADAR SENSOR WHEN DRIVING IN A CURVE

A method for determining a longitudinal velocity of a vehicle using at least one radar sensor and an installation orientation of the at least one radar sensor during cornering, wherein the method comprises: determining at least one velocity vector of the at least one radar sensor during cornering of the vehicle, wherein the at least one velocity vector contains a longitudinal velocity component and a lateral velocity component of the at least one radar sensor, transmitting the at least one velocity vector to a module for estimating the longitudinal velocity of the vehicle and the installation orientation of the at least one radar sensor, and estimating the longitudinal velocity of the vehicle and the installation orientation of the at least one radar sensor at least on the basis of the at least one velocity vector transmitted to the module and via the module.

REMOVABLE ODOMETER FOR A NON-ODOMETER EQUIPPED VEHICLE
20230213341 · 2023-07-06 ·

An odometer comprises a housing having a vehicle mounting device attached thereto. In an embodiment, the vehicle mounting device configured to be connectable to and removable from the non-odometer equipped vehicle. The housing further comprises a doppler radar module disposed in the housing. A processor is disposed in the housing and operatively connected to the doppler radar module and memory. In turn, the memory comprises executable instructions that, when executed by the processor, cause the processor to receive, from the doppler radar module, velocity-indicative data relative to a surface traveled by the non-odometer equipped vehicle. Thereafter, the processor operates to determine a distance traveled by the non-odometer equipped vehicle based on the velocity-indicative data.

REMOVABLE ODOMETER FOR A NON-ODOMETER EQUIPPED VEHICLE
20230213341 · 2023-07-06 ·

An odometer comprises a housing having a vehicle mounting device attached thereto. In an embodiment, the vehicle mounting device configured to be connectable to and removable from the non-odometer equipped vehicle. The housing further comprises a doppler radar module disposed in the housing. A processor is disposed in the housing and operatively connected to the doppler radar module and memory. In turn, the memory comprises executable instructions that, when executed by the processor, cause the processor to receive, from the doppler radar module, velocity-indicative data relative to a surface traveled by the non-odometer equipped vehicle. Thereafter, the processor operates to determine a distance traveled by the non-odometer equipped vehicle based on the velocity-indicative data.

RADAR-BASED DATA FILTERING FOR VISUAL AND LIDAR ODOMETRY
20230211808 · 2023-07-06 ·

Aspects of the disclosed technology provide solutions for performing odometry and in particular, for performing odometry by filtering moving objects from a scene using sensor data. In some aspects, a process can include steps for receiving a first set of sensor data corresponding with a plurality of objects in a scene, determining one or more moving objects and one or more stationary objects from among the plurality of objects, and receiving a second set of sensor data. In some aspects, the process can further include steps for filtering the second set of sensor data to remove data associated with the one or more moving objects and generating odometry data associated with the filtered second set of sensor data. Systems and machine-readable media are also provided.