A method and system for positioning an indoor autonomous mobile robot is disclosed in this application, which includes: indoor layout of moving paths and indoor relative position information of the moving path are obtained by a vision sensor; visual positioning is performed by a visual locator on indoor image data collected by the visual sensor to obtain the first position information; and second position information of a UWB location tag is obtained and solved by an UWB locator; the first position information and the second position information are fused by an adaptive Kalman filter, to obtain final positioning information of the autonomous mobile robot. After fusion, the UWB locator can correct the accumulated error caused by visual positioning, and at the same time, visual positioning can smooth measured data of the UWB locator to make up for deficiencies.

An object of the invention is to configure an object search device capable of expressing information on shapes and irregularities as features only by images, in a search for an object that is characteristic in shape or irregularity, and performing an accurate search.

The object search device includes: an image feature extraction unit that is configured with a first neural network, and is configured to input an image to extract an image feature; a three-dimensional data feature extraction unit that is configured with a second neural network, and is configured to input three-dimensional data to extract a three-dimensional data feature; a learning unit that is configured to extract an image feature and a three-dimensional data feature from an image and three-dimensional data of an object obtained from a same individual, respectively, and update an image feature extraction parameter so as to reduce a difference between the image feature and the three-dimensional data feature; and a search unit that is configured to extract image features of a query image and a gallery image of the object by the image feature extraction unit using the updated image feature extraction parameter, and calculate a similarity between the image features of both images to search for the object.

Disclosed herein are methods, devices, modules, and systems which may be employed to accurately track, and subsequently target, objects of interest relative to a moving body, such as a vehicle. An object tracking method may be implemented by a detection system with a sensor coupled to the moving body. A targeting system may be used to target objects tracked by the detection system, such as for automated crop cultivation or maintenance. Devices disclosed herein may be configured to locate, identify, and autonomously target a weed with a beam, such as a laser beam, which may burn or irradiate the weed. The methods, devices, modules, and systems may be used for agricultural crop management or for at-home weed control.

A method for obtaining a handwriting trajectory is provided. The method includes the following steps: capturing images of handwriting that is written with a writing brush on a piece of paper on a writing platform; obtaining positions where pixels in each of the images are lower than a threshold according to the threshold; and outputting handwriting images according to the positions.

The present disclosure relates to methods and systems for data visualization. The systems may perform the methods to obtain a video having a plurality of frames including a plurality of objects; identify a target object from the plurality of objects according to the plurality of frames; determine one or more track points of the target object, each of the one or more track points being corresponding to the target object in one of the plurality of frames; determine a first track of the target object based on the track points, the first track including at least one of the one or more track points of the target object; determine a second track of the target object based on the first track, the second track including at least one of the track points of the first track; generate a video analysis result by analyzing the second track; and visualize the video analysis result.

A mobile object control device according to an embodiment includes a recognizer configured to recognize a surroundings situation of a mobile object, a trajectory predictor configured to predict future trajectories of the mobile object and an object likely to come into contact with the mobile object when there is the object around the mobile object, and an unavoidable contact determiner configured to determine whether contact between the mobile object and the object is unavoidable on the basis of the predicted trajectories of the mobile object and the object predicted by the trajectory predictor, and the trajectory predictor predicts the future trajectory of the object on the basis of a recognition state of a travel wheel of the object in the recognizer.

An arena test system for characterizing fragments from a warhead. An entry panel and an exit panel are arranged in a wedge configuration with a wedge-shaped air space between them. Fragments are imaged as they pass through this wedge. A soft catch box is located behind the exit panel such that fragments that pass through the exit panel enter the soft catch box and are decelerated within the soft catch box.

The present disclosure provides an error detector for determining an error vector between a radio trajectory and an image trajectory. The error detector includes: an input for monitoring a radio trajectory of an object from a radio signal and an image trajectory of an object from an image over an observation area; a correlation module arranged to correlate the radio trajectory with the image trajectory; an error module arranged to determine an error vector between the radio trajectory and the image trajectory; and an output arranged to transmit the error vector for use in determining an estimated trajectory of a target based on a target trajectory from a radio signal.

A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

Systems and methods for perceiving a field around a mobile device include a sensor system has a distance sensor arranged on a mobile device. The sensor system captures distance measurements of a field of view. The distance measurements are captured at a unique set of angular scan positions per revolution of the distance sensor over a sequence of scan rotations. A perception system generates a three-dimensional point cloud representation of the field of view based on the distance measurements for each scan rotation in the sequence of scan rotations. The perception system generates a composite three-dimensional depth map of the field of view by compiling each of the three-dimensional point cloud representations for the sequence of scan rotations. Each of the three-dimensional point cloud representations has a resolution that is lower than a resolution of the composite three-dimensional depth map of the field of view.