Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: An automatic door can include a plurality of millimeter wave (mmW) sensors that are each configured to sense a door area. Each mmW sensor includes a mmW radar configured to capture mmW radar data and an inertial measurement unit (IMU) configured to measure an orientation of the mmW radar. Based on IMU data from the mmW sensors, the mmW radar data from the sensors can be combined so that the door areas can form a combined door area. Multiple targets can be detected and tracked through the combined door area at high resolutions and in a variety of environmental conditions. Control of the automatic door can be enhanced in a variety of ways by classifying the targets and predicting their movements in the combined door area. Further, the classification and prediction of targets can facilitate safe and reliable operation by filtering operation based on certain targets and/or motions.

Abstract: A scheduling server is programmed to register terminals for autonomous vehicle use by allocating both capabilities and available times of the terminals to the server; identify a service to perform to an autonomous vehicle using data received from the vehicle; and send a waypoint to the vehicle directing the vehicle to arrive at an identified one of the terminals having capability to perform the service during the available times of the identified terminal.

Abstract: The present invention provides a seat post for a bicycle that is of unitary construction and provides for a stress relief area on the post to reduce the possibility of damage caused by a clamping mechanism on a seat tube of a bicycle frame. The seat post may be configured to include a member defined by a tubular region integral with a head region. The tubular region may also include at least one region with a circular outer circumference, and a clamp region having a circumference defined by a circular surface and a stress relief surface. The stress relief surface may also have various contours. For example, the stress relief are may be flat or arcuate in shape.