This document describes methods to assign a collective state to a group of traffic signal devices that are concurrently detected by multiple cameras. The states may be color states or other states. The system will process the images to identify states of each of the devices in the images. When the devices exhibit more than one state, the system will determine an overall state for the group by generating a confidence score for each of the states. The system will select, from the multiple states, the state having a confidence score that exceeds a threshold. The system will then use the selected state to assign an overall state to the group of traffic signal devices. The system may use the overall state to generate a signal that will cause the vehicle to perform an action such as a motion control action, or output of an audible or visual alert.

This document describes methods to assign a collective state to a group of traffic signal devices that are concurrently detected by multiple cameras. The states may be color states or other states. The system will process the images to identify states of each of the devices in the images. When the devices exhibit more than one state, the system will determine an overall state for the group by generating a confidence score for each of the states. The system will select, from the multiple states, the state having a confidence score that exceeds a threshold. The system will then use the selected state to assign an overall state to the group of traffic signal devices. The system may use the overall state to generate a signal that will cause the vehicle to perform an action such as a motion control action, or output of an audible or visual alert.

A construction machine comprising a main frame, a blade carrier frame, and a slewing ring arrangement comprising a blade which is mounted thereon, wherein the slewing ring arrangement comprises a toothed ring which is connected to a drive pinion which rotates and which is connected to a drive motor which is mounted on the blade carrier frame, the toothed ring having a guide ring, which is guided by a plurality of slide bearing shoes which are arranged over the circumference thereof and which are mounted on the blade carrier frame, wherein wear linings which are in sliding contact with the guide ring are arranged between the slide bearing shoes and the guide ring. An indicator device is provided, a change in a distance of the toothed ring radially to a second rotational axis being able to be detected thereby.

Provided are methods for assisting a user in interaction with a vehicle. The methods can include obtaining sensor data representing a user; determining at least one of: (i) a distance between a body part of the user and an object associated with the vehicle, or (ii) a direction from the body part of the user to the object; and causing, by the accessibility system, at least one notification to be presented to the user, where the least one notification indicates at least one of: (i) the distance between the body part of the user and the object, or (ii) the direction from the body part of the user to the object. Systems and computer program products are also provided.

When an industrial vehicle encounters a geo-feature, one or more messages for conveyance on the industrial vehicle are determined based on a current operating state of the industrial vehicle and an expected operating condition associated with the encountered geo-feature. In an example implementation, the geo-feature can implement aisle control in a warehouse or similar environment to ensure that only authorized vehicles are permitted to enter the aisle. Here, authorization may be predicated upon an assigned task from a warehouse management system. In another example implementation, the industrial vehicle includes a display that provides a graphical representation of the geo-feature.

When an industrial vehicle encounters a geo-feature, one or more messages for conveyance on the industrial vehicle are determined based on a current operating state of the industrial vehicle and an expected operating condition associated with the encountered geo-feature. In an example implementation, the geo-feature can implement aisle control in a warehouse or similar environment to ensure that only authorized vehicles are permitted to enter the aisle. Here, authorization may be predicated upon an assigned task from a warehouse management system. In another example implementation, the industrial vehicle includes a display that provides a graphical representation of the geo-feature.

The present invention is a system and method to monitor, localize, and control objects in an implicitly defined geofenced area and to determine object position and orientation (vehicle only) by capturing the object's image, 3D data, or position using camera, LiDAR, and/or RADAR sensors that are installed on structures mounted on the ground. The sensors capture image, 3D data points, and distance of the surface points that are processed to ultimately obtain 3D data of the surface points of the object. The 3D data points from different sensors are then combined or fused by a controller to obtain a single set of 3D points, called fusion data, under one coordinate system such as the GPS coordinate system. The single set of 3D points is then processed by the controller using deep neural network and/or other algorithms to obtain position and orientation of the object. Additionally, the controller or sensors can send current and desired future object positions and orientations to controllable objects. Controller and/or sensors can send site image data to scene marking device and receive marked image data for geofenced monitoring of objects. Controller or sensors send alert to devices if objects are detected or abnormal behavior of objects are detected within the geofenced area.

The present invention is a system and method to monitor, localize, and control objects in an implicitly defined geofenced area and to determine object position and orientation (vehicle only) by capturing the object's image, 3D data, or position using camera, LiDAR, and/or RADAR sensors that are installed on structures mounted on the ground. The sensors capture image, 3D data points, and distance of the surface points that are processed to ultimately obtain 3D data of the surface points of the object. The 3D data points from different sensors are then combined or fused by a controller to obtain a single set of 3D points, called fusion data, under one coordinate system such as the GPS coordinate system. The single set of 3D points is then processed by the controller using deep neural network and/or other algorithms to obtain position and orientation of the object. Additionally, the controller or sensors can send current and desired future object positions and orientations to controllable objects. Controller and/or sensors can send site image data to scene marking device and receive marked image data for geofenced monitoring of objects. Controller or sensors send alert to devices if objects are detected or abnormal behavior of objects are detected within the geofenced area.

An identification apparatus for an equipped vehicle includes a camera configured to capture image data in a field of view directed to an exterior region proximate to the equipped vehicle and a controller in communication with the camera. The controller identifies an object in the image data and identifies a proportion of the object in response to pixels representing the object in the image data. The controller then communicates a notification indicating a trailing vehicle in response to the object approaching the camera in excess of a threshold.

An identification apparatus for an equipped vehicle includes a camera configured to capture image data in a field of view directed to an exterior region proximate to the equipped vehicle and a controller in communication with the camera. The controller identifies an object in the image data and identifies a proportion of the object in response to pixels representing the object in the image data. The controller then communicates a notification indicating a trailing vehicle in response to the object approaching the camera in excess of a threshold.