A signal retrieval device includes a modification unit and a signal retrieval unit. The modification unit modifies a value of an attribute of a target represented by an input signal or a stored signals stored in a signal storage unit or a value of an attribute relating to a signal generation source of the input signal to acquire a plurality of modified values of the attribute. The signal retrieval unit retrieves a stored signal of the stored signals similar to the input signal using the input signal or the stored signals in which the attribute is modified according to each of the plurality of modified values of the attribute acquired by the modification unit.

A method for a position determination of a vehicle, at least one camera and one sensor unit for a global satellite navigation system being situated on the vehicle. The method includes: acquiring at least one camera image of the environment of the vehicle with the aid of the camera, generating a transformed image as a function of the acquired camera image, with the transformed image having a virtual perspective pointing perpendicularly in the downward direction, determining a satellite position of the vehicle through a satellite-based position determination, and providing an aerial image of the environment of the vehicle as a function of the determined satellite position. A detection of a position of the transformed image in the supplied aerial image, and an ascertainment of a vehicle position as a function of the detected position of the transformed image in the supplied aerial image take place subsequently.

A method for determining a similarity between curves performed by an electronic device includes extracting a candidate curve corresponding to at least a part of a blood vessel and a source curve corresponding to a guidewire from a blood vessel image, sampling the same sampling number of points from each of the candidate curve and the source curve, calculating a similarity level between the candidate curve and the source curve based on the points sampled from the candidate curve and the points sampled from the source curve, and determining whether the candidate curve and the source curve are similar, based on the calculated similarity level.

A control device according to an aspect of the present disclosure includes: an acquiring means for acquiring position information, battery information, and movement capability information regarding each of mobile objects; a predicting means predict a monitorable time based on the position information of a monitoring mobile object, the position information of a standby mobile object, and the battery information and the movement capability information of each of the mobile objects, the monitoring mobile object monitoring a target, the standby mobile object being on standby, the monitorable time being a time for which the target is monitorable by each standby mobile object; a selecting means for selecting, based on the monitoring availability time, at least one mobile object among the standby mobile objects; and a controlling means for controlling the selected mobile object to move to a position from which to monitor the target.

Efficient location and identification of documents in images. In an embodiment, at least one quadrangle is extracted from an image based on line(s) extracted from the image. Parameter(s) are determined from the quadrangle(s), and keypoints are extracted from the image based on the parameter(s). Input descriptors are calculated for the keypoints and used to match the keypoints to reference keypoints, to identify classification candidate(s) that represent a template image of a type of document. The type of document and distortion parameter(s) are determined based on the classification candidate(s).

A method includes determining, based on a similarity measure, correlation scores between a target pixel and each of a candidate matching pixel, a left neighboring pixel of the candidate matching pixel, and a right neighboring pixel of the candidate matching pixel. When the correlation scores indicate that a neighboring pixel of the candidate matching pixel is better correlated to the target pixel than the candidate matching pixel, (i) a correlation score is determined between the target pixel and a second neighboring pixel of the neighboring pixel that is opposite the candidate matching pixel in the second image and (ii) an interpolation is fit to the correlation scores of the neighboring pixel, the second neighboring pixel, and the candidate matching pixel.

A system includes a three-dimensional (3D) scanner that captures a 3D point cloud corresponding to one or more objects in a surrounding environment. The system further includes a camera that captures a control image by capturing a plurality of images of the surrounding environment, and an auxiliary camera configured to capture an ultrawide-angle image of the surrounding environment. One or more processors of the system colorize the 3D point cloud using the ultrawide-angle image by mapping the ultrawide-angle image to the 3D point cloud. The system performs a limited system calibration before colorizing each 3D point cloud, and a periodic full system calibration before/after a plurality of 3D point clouds are colorized.

A method and a device for 3D shape matching based on a local reference frame are proposed. After acquiring a 3D point cloud and feature points in the method, the feature point set is projected to a plane, and feature transformation is performed on the projected points by using at least one factor from the distances between the 3D points and the feature points, the distances between the 3D points and the projected points, and the average distances between the 3D points and its 1-ring neighboring points to acquire a point distribution with a larger variance in a certain direction than the projected point set, and the local reference frame is determined based on the transformed point distribution. The 3D local feature descriptor established based on this local reference frame can encode the 3D local surface information more robustly, so as to obtain a better 3D shape matching effect.

A detection method and a device based on a laser radar, and a computer readable storage medium are disclosed. The detection method includes: obtaining scanning data of the laser radar (S101); performing algorithm splitting on a feature algorithm for detection based on the scanning data to obtain at least one sub-algorithm capable of parallel processing in the feature algorithm (S102); and performing heterogeneous acceleration for the at least one sub-algorithm to process the scanning data and to obtain a processing result; and obtaining a detected position of an obstacle and a detected drivable area based on the processing result (S103).

A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.