Abstract: Disclosed are a method and apparatus for calibrating a sensor. An object is placed in a field of view of the sensor at a known location. The object is moved (e.g., rotated) in a known manner. Data from the sensor is processed to detect an object image moving in the known manner. An apparent location of the object is determined from the object image. The apparent location is compared to the known location of the object to determine an offset. The offset is stored and used to adjust future detected locations of objects.

Abstract: Disclosed are techniques for automatically optimizing radar filter parameters. In embodiments, radar sensor data is captured from a radar sensor on a moving machine/vehicle. The radar sensor data is filtered using radar filter parameters to produce filtered radar sensor data. Radar obstacle points are produced from the filtered radar sensor data. Lidar sensor data is captured from a lidar sensor on the moving machine. Lidar obstacle points are produced from the lidar sensor data. The radar filter parameters are optimized using the lidar obstacle points.

Abstract: A method of combining rubbers and plastics when injection molding, and compositions usable in injection molding, are shown and described. Comminuted rubber from waste tires and waste plastics including any of high density polyethylene, polyethylene terephthalate, and polypropylene are combined and heated to melt at least the plastics. In one optional approach, both are melted. Plastics comprise from twenty to eighty percent by weight of the mixture, with rubber accounting for the balance. The mixture may be fortified with bonding, compatibilizing, and strengthening agents. The compositions may be cooled and pelletized for immediate use in injection operations.

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: The present disclosure relates to methods and apparatuses for 3-D facial recognition using the Fast Multipole Method (FMM).

Abstract: A computer-implemented technique can process overhead images of users in a line at a venue to obtain a user wait time for the line. The processing can include (a) identifying a user of the group of users that is second in the line to obtain a target user, (b) detecting when the target user becomes first in the line to obtain a start time, (c) after the target user becomes first in the line, detecting when the target user leaves the line to obtain an end time, (d) determining a period from the start time to the end time, and (e) calculating the user wait time by calculating a product of (i) the determined period and (ii) a quantity of the group of users in the line after the target user leaves the line. The calculated user wait time can then be output.

Abstract: There is disclosed a computer-implemented GIS and method for collecting data and identifying, registering and tracking agricultural and food-related properties by type and use. Agricultural and food-related properties are identified by cross-referencing the real estate database with various agricultural group databases maintained by one or more agricultural producer groups or organizations. The real estate database and the various agricultural group databases are merged to produce a GIS of agricultural and food-related properties identified by type and use, with accurate location and boundaries and all relevant ownership and contact information.

Abstract: A digital image is rotated clockwise, for example, by the steps of (1) dividing it into rectangular contiguous blocks, the center of any selected block being located to the left and down a half pixel from the center of a contiguous block to the right and being located to the right and up a half pixel from the center of a contiguous block on the left, and the center of said selected block being located above and to the left a half pixel from the center of a contiguous block below and located below and to the right a half pixel from the center of a contiguous block above and (2) rearranging the blocks so that the center of said selected block is located to the left and up a half pixel from the center of said contiguous block to the right and to the right and down a half pixel from the center of said contiguous block to the left, and the center of said selected block is located above and to the right a half pixel from the center of said block below and being located below and to the left a half pixel from the ce