An electronic device capable of determining an eye convergence angle using a magnetometer sensor is provided. The magnetometer sensor is capable of reporting angle readings in three dimensions that is aligned with an eye gaze direction of each eye of a user. The magnetometer which is incorporated into the device can fit into a human eye like a contact lens and determine the angle of the gaze direction of both eyes with respect to an object within a field of view. By obtaining this eye convergence angle for an object, it is possible to accurately detect depth information. The electronic device also functions as a digital contact lens that can automatically adjust the focal point of the object to provide the user with a clear vision. The electronic device also includes a display that provides the user with additional information about the object.

An electronic device capable of determining an eye convergence angle using a magnetometer sensor is provided. The magnetometer sensor is capable of reporting angle readings in three dimensions that is aligned with an eye gaze direction of each eye of a user. The magnetometer which is incorporated into the device can fit into a human eye like a contact lens and determine the angle of the gaze direction of both eyes with respect to an object within a field of view. By obtaining this eye convergence angle for an object, it is possible to accurately detect depth information. The electronic device also functions as a digital contact lens that can automatically adjust the focal point of the object to provide the user with a clear vision. The electronic device also includes a display that provides the user with additional information about the object.

A industrial machine including a chassis, a first sensor configured to sense a roof bolt, a second sensor configured to sense the roof bolt, and a controller. The controller configured to receive sensor information from the first and second sensors, and determine a location of the roof bolt based on the sensor information from the first and second sensor.

A industrial machine including a chassis, a first sensor configured to sense a roof bolt, a second sensor configured to sense the roof bolt, and a controller. The controller configured to receive sensor information from the first and second sensors, and determine a location of the roof bolt based on the sensor information from the first and second sensor.

Methods and systems for estimating volumes of agricultural crops are provided. A geographic position sensor provides positions of a harvesting machine as it gathers an agricultural crop and places the crop on the ground in a windrow. A speed of the harvesting machine is determined using the geographic position sensor. Signals are received from a sensor system disposed at a bottom of the harvesting machine. The signals are indicative of profiles of segments of the windrow on the ground. Cross-sectional areas of the windrow are estimated using the signals. Volumes of the agricultural crop are estimated using the speed of the harvesting machine and the estimated cross-sectional areas of the windrow.

Methods and systems for estimating volumes of agricultural crops are provided. A geographic position sensor provides positions of a harvesting machine as it gathers an agricultural crop and places the crop on the ground in a windrow. A speed of the harvesting machine is determined using the geographic position sensor. Signals are received from a sensor system disposed at a bottom of the harvesting machine. The signals are indicative of profiles of segments of the windrow on the ground. Cross-sectional areas of the windrow are estimated using the signals. Volumes of the agricultural crop are estimated using the speed of the harvesting machine and the estimated cross-sectional areas of the windrow.

A method for controlling a movable object includes receiving, at one or more processors, a plurality of images from a plurality of imaging devices carried by the movable object; determining, with aid of the one or more processors, an environment type of an environment surrounding the movable object; identifying a target based on the plurality of images and the environment type; determining information of the target based on the plurality of images; and controlling the movable object to avoid the target based on the information of the target. The plurality of imaging devices includes a first imaging device arranged at an upper surface of a body of the movable object and a second imaging device arranged at a lower surface of the body. Each of the first imaging device and the second imaging device has a field of view greater than 150 degrees.

A method for controlling a movable object includes receiving, at one or more processors, a plurality of images from a plurality of imaging devices carried by the movable object; determining, with aid of the one or more processors, an environment type of an environment surrounding the movable object; identifying a target based on the plurality of images and the environment type; determining information of the target based on the plurality of images; and controlling the movable object to avoid the target based on the information of the target. The plurality of imaging devices includes a first imaging device arranged at an upper surface of a body of the movable object and a second imaging device arranged at a lower surface of the body. Each of the first imaging device and the second imaging device has a field of view greater than 150 degrees.

The purpose of this invention is to reduce the ambiguity in position caused by height differences in an object, and to estimate the position of an object with a high degree of accuracy. This object position estimation device comprises: a first processing unit which detects the position of a position reference point on a moving object from an image of the moving object obtained by a camera; a second processing unit for estimating the height of the moving object detected; a third processing unit for estimating the height of the position reference point on the basis of the estimated height estimated by the second processing unit and the image of the moving object; a fourth processing unit which calculates an estimated position candidate for the moving object on the basis of the height of the position reference point estimated by the third processing unit, the position of the position reference point, and the height of the point in the area; a fifth processing unit which calculates the likelihood of the estimated position candidate on the basis of the estimated position candidate calculated by the fourth processing unit, the height of the position reference point estimated by the third processing unit, and the height in the area; and a sixth processing unit which determines the estimated position of the moving object on the basis of the likelihood of the estimated position candidate calculated by the fifth processing unit.

A digital loupe system is provided which can include a number of features. In one embodiment, the digital loupe system can include a stereo camera pair and a distance sensor. The system can further include a processor configured to perform a transformation to image signals from the stereo camera pair based on a distance measurement from the distance sensor and from camera calibration information. In some examples, the system can use the depth information and the calibration information to correct for parallax between the cameras to provide a multi-channel image. Ergonomic head mounting systems are also provided. In some implementations, the head mounting systems can be configurable to support the weight of a digital loupe system, including placing one or two oculars in a line of sight with an eye of a user, while improving overall ergonomics, including peripheral vision, comfort, stability, and adjustability. Methods of use are also provided.