Abstract: A method for determining a plant growth curve includes obtaining color images and depth images of a plant to be detected at different time points, performing alignment processing on each color image and each depth image to obtain an alignment image, detecting the color image through a pre-trained target detection model to obtain a target bounding box, calculating an area ratio of the target bounding box in the color image, determining a depth value of all pixel points in the target boundary frame according to the aligned image, performing denoising processing on each depth value to obtain a target depth value, generating a first growth curve of the plant to be detected according to the target depth values and corresponding time points, and generating a second growth curve of the plant to be detected according to the area ratios and the corresponding time points.

Abstract: An establishing method of semantic distance map for a moving device, includes capturing an image; obtaining a single-point distance measurement result of the image; performing recognition for the image to obtain a recognition result of each obstacle in the image; and determining a semantic distance map corresponding to the image according to the image, the single-point distance measurement result and the recognition result of each obstacle of in the image; wherein each pixel of the semantic distance map includes an obstacle information, which includes a distance between the moving device and an obstacle, a type of the obstacle, and a recognition probability of the obstacle.

Abstract: Disclosed is an editing system for postprocessing three-dimensional (“3D”) image data to realistically recreate the effects associated with viewing or imaging a represented scene with different camera settings or lenses. The system receives an original image and an edit command with a camera setting or a camera lens. The system associates the selection to multiple image adjustments. The system performs a first of the multiple image adjustments on a first set of 3D image data from the original image in response to the first set of 3D image data satisfying specific positional or non-positional values defined for the first image adjustment, and performs a second of the multiple image adjustments on a second set of 3D image data from the original image in response to the second set of 3D image data satisfying the specific positional or non-positional values defined for the second image adjustment.

Abstract: Methods and associated systems and apparatus for generating a three-dimensional (3D) flight path for a moveable platform such as an unmanned aerial vehicle (UAV) are disclosed herein. The method includes receiving a set of 3D information associated with a virtual reality environment and receiving a plurality of virtual locations in the virtual reality environment. For individual virtual locations, the system receives a corresponding action item. The system then generates a 3D path based on at least one of the set of 3D information, the plurality of virtual locations, and the plurality of action items. The system then generates a set of images associated with the 3D path and then visually presents the same to an operator via a virtual reality device. The system enables the operator to adjust the 3D path via the virtual reality device.

Abstract: A method is described for analyzing an output of an object detector for a selected object of interest in an image. The object of interest in a first image is selected. A user of the object detector draws a bounding box around the object of interest. A first inference operation is run on the first image using the object detector, and in response, the object detect provides a plurality of proposals. A non-max suppression (NMS) algorithm is run on the plurality of proposals, including the proposal having the object of interest. A classifier and bounding box regressor are run on each proposal of the plurality of proposals and results are outputted. The outputted results are then analyzed. The method can provide insight into why an object detector returns the results that it does.

Abstract: A smart drilling system includes a terminal configured to map a design space to an actual space and having perforation location information in the design space, a drilling machine including a drill for perforation and configured to perform perforation in the actual space under control of the terminal based on the perforation location information, and a total station configured to acquire location information of a reference point in the actual space for mapping the design space to the actual space and location information of the drilling machine in the actual space, and to transmit the location information of the reference point in the actual space and the location information of the drilling machine to the terminal, wherein the terminal recognizes and displays a perforable region or a perforable point at a current position of the drilling machine.

Abstract: A vehicular exterior rearview mirror assembly includes a dual mode illumination module having a first light emitting diode (LED) operable to emit visible white light when electrically powered and a second LED operable to emit non-visible light when electrically powered. The first LED, when the vehicle is parked and the first LED is electrically powered, emits visible white light to provide visible ground illumination at a ground region at least partially along the side portion of the vehicle. Visible ground illumination by the vehicular exterior rearview mirror assembly at the ground region is locked-out during movement of the vehicle. The second LED, when the second LED is electrically powered, emits non-visible light to provide non-visible illumination for a camera viewing exterior and at least sideward of the vehicle. Non-visible light emission by the second LED is not locked-out during movement of the vehicle.

Abstract: Image data captured from a traveling vehicle is considered, and it is not possible to reduce the transmission band of the image data. It is assumed that a radar 4 mounted in a traveling vehicle 10 detects a certain distant three-dimensional object at a time T in a direction of a distance d1 [m] and an angle ?1. Since the vehicle 10 travels at a vehicle speed Y [km/h], it is predicted that a camera 3 is capable of capturing the distant three-dimensional object at a time (T+?T) and an angle ?1 or at a distance d2 [m]. Therefore, if a control unit 2 outputs a request to the camera 3 in advance, so as to cut out an image of the angle ?1 or the distance d2 [m] at the time (T+?T), when the time (T+?T) comes, the camera 3 transfers a whole image and a high-resolution image being a cutout image of only a partial image, to the control unit 2.

Abstract: An apparatus includes an electronic display configured to be positioned in a first location and one or more processors electronically coupled to the electronic display. The processors receive a video from a server. The video depicts a view of a second location and includes an image of a rectangular casing, a frame, and one or more muntins. The image is composited with the video by the server to provide an illusion of a window in the second location to a user viewing the video. The rectangular casing surrounds the window. The processors synchronize a time-of-view at the second location in the video with a time-of-day at the first location and synchronize a second length-of-day at the second location in the video with a first length-of-day at the first location. The processors transmit the video to the electronic display for viewing by the user.

Abstract: An illumination system for monitoring and illuminating an operating region includes at least one light assembly including at least one illumination source configured to selectively direct a light emission in a portion of the operating region. At least one imager is configured to capture image data in a field of view in the operating region. A controller is in communication with the light assembly and the imager. The controller is configured to process image data captured in the field of view and identify a plurality of objects detected in the image data based on an object library. Track a location of each of the plurality of objects and store the location of each of the objects.

Abstract: The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.

Abstract: Systems and methods for object detection. The object detection may be used to control an autonomous vehicle. For example, the methods comprise: obtaining, by a computing device, a LiDAR dataset generated by a LiDAR system of the autonomous vehicle; and using, by the computing device, the LiDAR dataset and at least one image to detect an object that is in proximity to the autonomous vehicle. The object is detected by: matching points of the LiDAR dataset to pixels in the at least one image; and detecting the object in a point cloud defined by the LiDAR dataset based on the matching. The object detection may be used to facilitate at least one autonomous driving operation (e.g., autonomous driving operation comprises an object tracking operation, an object trajectory prediction operation, a vehicle trajectory determination operation, and/or a collision avoidance operation).

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: A communal computing device, such as an interactive digital whiteboard, can become unlocked if a user is near the device. The communal computing device may use a sensor such as a camera to capture images of a person and obtain an identifier from a personal device such as a smartphone. A cloud-based provider that is trusted by both the communal computing device and the personal device may associate both the image and the identifier of the personal device with the same user identity. Obtaining the user identity from multiple, different sources provides a secure technique for the communal computing device to recognize a user without the user directly interacting with the communal computing device. If the sensor no longer detects the user or the personal device is no longer detected, then the communal computing device may log off the user. The personal device may be used to confirm log off.

Abstract: A lens-less 3-D imaging device includes, in part, a multitude of optical receiving elements positioned along a concave or flat surface defining a focal zone of the imaging device. Each optical receiving element has a field of view that overlaps with a field of view of a number of other optical receiving elements. The optical receiving elements may optionally be grating couplers or photo detectors. The optical receiving elements may be disposed on a circuit board. The circuit board may be flexible and include control circuitry configured to form the image in accordance with the received responses of the optical receiving elements and further in accordance with the optical transfer functions of the of optical receiving elements. The circuit boards may include one or more flex sensors or strain gauges adapted to determine their curvatures.

Abstract: A notification system notifies users when there is a match between images. The notification system includes a network interface receiving images from a plurality of user devices including a first user device and a second user device, a memory storing database and instructions, and a processor. The processor executes the instructions to function as an image processing unit processing the received images, a face recognition unit recognizing one or more faces in each received image, a face matching unit checking whether a face in a first image from the first user device matches a face in a second image from the second user device, a metadata processing unit processing metadata in each received image, and a notification unit notifying the first user device and the second user device in a case where the face in the first image matches the face in the second image.

Abstract: A driving support method including: detecting a first boundary point group including boundary points forming a lane boundary line, using a sensor mounted on a vehicle; converting a coordinate system of the first boundary point group to the same coordinate system as a coordinate system of map data; and performing matching between a first point group constituted by boundary points not close to each other in either one of a second boundary point group including boundary points forming a lane boundary line in the map data and the first boundary point group and the other of the first boundary point group and the second boundary point group.

Abstract: An endoscope processor according to one aspect includes an image acquisition unit that acquires a captured image from an endoscope, a first correction unit that corrects the captured image acquired by the image acquisition unit, a second correction unit that corrects the captured image acquired by the image acquisition unit, and an output unit that outputs an endoscopic image based on the captured image corrected by the first correction unit and a recognition result using a trained image recognition model in which the recognition result is output in a case where the captured image corrected by the second correction unit is input.

Abstract: Sharing sensor data of a first device with a second device includes obtaining a set of point data from at least one of a sensors located in the first device, generating a first property data of the first subset of point data based on the first subset of point data, generating a sharing data including at least a portion of the first subset of point data and the first property data, and transmitting the sharing data to the second device. If a class of a first object included in the class information a class in which personal information must be protected, a content of the sharing data includes a privacy protection data in which the first subset of point data is processed such that personal information of the first object does not identified by the second device.

Abstract: In one embodiment, a method includes the steps of capturing an image from a camera viewpoint, the image depicting a physical keyboard, detecting one or more shape features of the physical keyboard depicted in the image by comparing pixels of the image to a predetermined shape template, the predetermined shape template representing visual characteristics of spaces between keyboard keys, accessing predetermined shape features of a keyboard model associated with the physical keyboard, and determining a pose of the physical keyboard based on comparisons between (1) the detected one or more shape features of the physical keyboard and (2) projections of the predetermined shape features of the keyboard model toward the camera viewpoint.

Abstract: An object monitoring system includes means for determining an arrangement relationship between a monitoring area and an external object on a basis of a distance measurement value of the external object, and calculating an influence degree of the external object on an object distance measurement in the monitoring area in accordance with the determined arrangement relationship.

Abstract: Disclosed are a preprocessing method and device for distance transformation. The method includes: acquiring a first grid map; calculating a second parameter of a vehicle model; calculating a precision of a second grid map according to the second parameter of the vehicle model and a precision of the first grid map; calculating the numbers of rows and columns of the second grid map according to information on the first grid map, the precision of the second grid map and the second parameter of the vehicle model; determining for each cell of the second grid map a state value according to the numbers of obstacle cells within said each cell; and determining in the first grid map at least one cell requiring no processing, according to the state value. Therefore, during the distance transformation, the processing speed for determining the distance value of each cell is increased.

Abstract: In order to solve the problem of the present invention, a vacuum cleaner that performs autonomous driving according to an embodiment of the present invention is characterized by comprising: a main body; a driving unit for driving the main body; a camera for detecting 3-dimensional coordinate information; a memory for storing pattern information related to a recharging station; and a control unit which compares the 3-dimensional coordinate information detected by the camera and the pattern information stored in the memory and related to the recharging station, and which determines, on the basis of the comparison result, whether or not the recharging station is positioned in the vicinity of the main body.

Abstract: A stereo camera apparatus includes a stereo camera, a speed sensor, and a control device. The control device includes one or more processors and one or more storage media. The one or more processors are configured to: detect corresponding points from a first image pair and a second image pair to be captured at different times by the stereo camera; divide each of images of the first image pair and the second image pair into regions; calculate, for each of the regions, a movement speed based on an external parameter by using one or more of the corresponding points included in the each of the regions; and calculate, for the each of the regions, a parallax correction value to cause a difference between the movement speed based on the external parameter and a movement speed detectable by the speed sensor to fall below a predetermined threshold.

Abstract: Techniques for rendering a 3D virtual object in an augmented-reality system are described. A system, a method, and a non-transitory memory device for augmented reality rendering of three-dimensional, virtual objects are described. In an example, a number of images of an environment are acquired; relative movement of a camera acquiring the number of images is tracked; camera pose is determined relative to the environment using the number of images and tracked relative movement of the camera; depth and normal surfaces of objects in the environment are estimated using a depth map and a normal map; a surface geometry of the environment is reconstructed using the depth map and the normal map; and the virtual object is rendered using the surface geometry of the environment.

Abstract: One embodiment illustrated herein includes an optical device. The optical device includes a stacked device, formed in a single semiconductor chip, configured to be coupled in an overlapping fashion to an underlying device. The stacked device includes a plurality of optical output pixels. Each of the output pixels includes a plurality of subpixels. Each subpixel is configured to output a color of light. Each pixel is configured to output a plurality of colors of light. The optical device further includes one or more detectors, configured to detect light, interleaved with the subpixels of the pixels. The stacked device comprises a plurality of transparent regions formed in the stacked device between the pixels. The plurality of transparent regions are transparent, according to a first transmission efficiency, to light in a first spectrum. The underlying device emits light in the first spectrum.

Abstract: A VR system and a positioning and tracking method of the VR system are provided. The VR system includes a head-mounted display and a gamepad. The head-mounted display includes a first inertial sensor, a first processor, and first cameras. The gamepad includes a second inertial sensor and second cameras. The first processor is configured to obtain 6DOF data of the head-mounted display under a world coordinate system based on the inertial data of the head-mounted display obtained by the first inertial sensor and the external environment images of the head-mounted display obtained by the first cameras, obtain 6DOF data of the gamepad under the world coordinate system based on the inertial data of the gamepad obtained by the second inertial sensor and the external environment images of the gamepad obtained by the second cameras, and generate 6DOF data of the gamepad on the head-mounted display.

Abstract: A notification system notifies users when there is a match between images. The notification system includes a network interface receiving images from a plurality of user devices including a first user device and a second user device, a memory storing database and instructions, and a processor. The processor executes the instructions to function as an image processing unit processing the received images, a face recognition unit recognizing one or more faces in each received image, a face matching unit checking whether a face in a first image from the first user device matches a face in a second image from the second user device, a metadata processing unit processing metadata in each received image, and a notification unit notifying the first user device and the second user device in a case where the face in the first image matches the face in the second image.

Abstract: An ultrathin camera device is provided. The ultrathin camera device comprises an optical module including a microlens array in which microlenses are arranged, an image sensor that outputs electrical image signals by sensing light coming through the microlens array, spacers that form a focal length by separating the optical module from the image sensor, and a processor that outputs a final image by reconstructing array images generated from the image signals with a designated imaging process depending on a distance at which the object is located. Here, each microlens convexly protrudes toward the image sensor.

Abstract: A system, device, and accompanying software for the remote, three-dimensional, and high-throughput imaging and analysis of human lesions, across a range of wavelengths, lens radii and imaging sensors. This system, device, and software generates and analyses of tumor images at infrared wavelengths through the use of miniaturized, liquid lenses. It has a number of clinical, diagnostic, research, and other imaging applications, including the remote, three-dimensional, and high-throughput imaging and analysis of human cancer tumors.

Abstract: A method includes obtaining a first plurality of feature vectors associated with a first image and a second plurality of feature vectors associated with a second image. The method also includes generating a plurality of transformed feature vectors by transforming each respective feature vector of the first plurality of feature vectors by a kernel matrix trained to define an elliptical inner product space. The method additionally includes generating a cost volume by determining, for each respective transformed feature vector of the plurality of transformed feature vectors, a plurality of inner products, wherein each respective inner product of the plurality of inner products is between the respective transformed feature vector and a corresponding candidate feature vector of a corresponding subset of the second plurality of feature vectors. The method further includes determining, based on the cost volume, a pixel correspondence between the first image and the second image.

Abstract: A system can visually track which items in a store are selected for purchase by a shopper. The system can form a virtual shopping cart by analyzing multiple images, over time, to determine which purchasable items are located with the shopper, such as in a physical shopping cart, in a basket, or held by the shopper. By analyzing multiple images, over time, the system can account for items misidentified in one or more images, or fully or partially obscured in one or more images as the shopper traverses the store. Alternatively, the system can form a virtual shopping cart by analyzing instances in which a purchasable item is removed from a shelf or placed on a shelf. Items removed from, but not returned to, a shelf can be considered to be selected for purchase. The system can include a frictionless checkout that charges the shopper for the selected items.

Abstract: An object detection device includes an external sensor, an inertia sensor, and a control device. The external sensor is fixed to a ship. The external sensor detects an object. The inertia sensor detects information related to an inertial force applied to the ship. The control device acquires a state of relative displacement of a detection object on the basis of a signal output from the external sensor. The control device acquires a state of an attitude change of the ship on the basis of a signal output from the inertia sensor. The control device determines whether a detection object is present outside the ship according to a correlation between the state of the attitude change of the ship and the state of the relative displacement of the detection object.

Abstract: The embodiments of the disclosure provide a method for adjusting a displayed content, a host, and a computer readable storage medium. The method includes: displaying a visual content, wherein the visual content comprises a first virtual object and a second virtual object; and in response to determining that a synchronization mode associated with the first virtual object is activated, automatically adjusting a first posture of the first virtual object at least based on a host posture of the host and maintaining a second posture of the second virtual object.

Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.

Abstract: A mobile device includes a rangefinder to measure ranges to points external to the device; a tracking sensor; and a controller connected with the rangefinder and the tracking sensor, the controller configured to: track successive poses of the mobile device in a frame of reference via the tracking sensor; responsive to a first activation of the rangefinder at a first one of the poses, generate a first position, in the frame of reference, of a first external point based on a first range from the rangefinder and the first pose; responsive to a second activation of the rangefinder at a second one of the poses, generate a second position, in the frame of reference, of a second external point based on a second range from the rangefinder and the second pose; and determine a distance between the first and second external points based on the first and second positions.

Abstract: Generally, the disclosed systems and methods implement improved detection of objects in three-dimensional (3D) space. More particularly, an improved 3D object detection system can exploit continuous fusion of multiple sensors and/or integrated geographic prior map data to enhance effectiveness and robustness of object detection in applications such as autonomous driving. In some implementations, geographic prior data (e.g., geometric ground and/or semantic road features) can be exploited to enhance three-dimensional object detection for autonomous vehicle applications. In some implementations, object detection systems and methods can be improved based on dynamic utilization of multiple sensor modalities. More particularly, an improved 3D object detection system can exploit both LIDAR systems and cameras to perform very accurate localization of objects within three-dimensional space relative to an autonomous vehicle.

Abstract: There is provided a mobile robot that controls an exposure time of an optical sensor during a time interval during which images of a gap between tiles are captured. At an end of the time interval that an image of a gap between tiles is captured, the exposure time of the optical sensor is adjust to the exposure time being used right before the time interval to avoid high brightness of the captured image while the image of a gap between tiles is suddenly disappeared from a field of view of the optical sensor.

Abstract: Disclosed is a video stabilization method including steps of selecting a first area in a first image; determining at least one first feature point based on the first area, and performing feature point matching on the first image and a second image so as to obtain at least one feature point matching pair between the first image and the second image, each feature point matching pair including a first feature point of the first image and a second feature point of the second image; conducting motion parameter estimation based on the at least one feature point matching pair so as to obtain a motion parameter; and carrying out motion compensation with respect to the first image based on the motion parameter so as to acquire a first stable image after compensation.

Abstract: A depth calculation processor, a data processing method, and a 3D image device are disclosed herein. The depth calculation processor includes: at least two input ports configured to receive a first image data, wherein the first image data comprises at least a structured light image acquired under projection of a structured light; a data processing engine configured to perform a calculation process on the first image data to output a second image data, wherein the second image data comprises at least a depth map, wherein the data processing engine comprises at least a depth processing engine configured to perform a depth calculation process on the structured light image to obtain the depth map; and at least an output port coupled to the data processing engine and configured to output the second image data to a host device.

Abstract: This disclosure relates generally to method and system for detecting on-street parking violations. The method include capturing, by using an media capturing device embodied in an electronic device mounted in a vehicle, a video stream of a scene during a trip of the vehicle. The video stream is processed at the electronic device to identify target objects such as no-parking signage and vehicles parked in the vicinity thereof. A meta-information associated with the target objects is stored in form of a short-term historian in a repository associated with the electronic device. The absolute locations of the target objects are determined and the historian is updated with the values of the absolute locations. A set of unique target objects is determined from amongst the target objects and a meta-information associated with the unique objects is sent to a cloud server for determining parking violations.

Abstract: An image sensor arrangement for determining a three-dimensional image comprises an image sensor comprising an array of global shutter pixels and a control unit which is configured to drive the image sensor in an imaging mode and in a time-of-flight mode. In the imaging mode, the control unit drives the pixels according to an imaging timing sequence. In the time-of-flight mode, the control unit drives the pixels according to a time-of-flight, TOF, timing sequence. At least a first subset of pixels are operated with a phase delay with respect to at least a second subset of pixels according to a first phase and a second phase, respectively.

Abstract: In one implementation, a method of defining a negative space in a three-dimensional scene model is performed at a device including a processor and non-transitory memory. The method includes obtaining a three-dimensional scene model of a physical environment including a plurality of points, wherein each of the plurality of points is associated with a set of coordinates in a three-dimensional space. The method includes defining a subspace in the three-dimensional space with less than a threshold number of the plurality of points. The method includes determining a semantic label for the subspace. The method includes generating a characterization vector of the subspace, wherein the characterization vector includes the spatial extent of the subspace and the semantic label.

Abstract: Disclosed is a method and apparatus for generating an image. The apparatus includes at least one processor and a memory. The processor is configured to obtain a wide image of an entire region, obtain one or more teleimages of one or more regions of interest (ROIs) of the entire region using a telecamera according to a capturing order of the telecamera determined for the one or more ROIs based on the wide image, match the wide image and the one or more teleimages, warp the one or more teleimages to the wide image based on a result of the matching, and stitch the one or more warped teleimages based on the wide image.

Abstract: A real-world object-based method and system of performing an authentication of a person in order to permit access to a secured resource is disclosed. The system and method are configured to collect image data from an end-user in real-time that includes objects in their environment. At least one object is selected and its image data stored for subsequent authentication sessions, when the system can determine whether there is a match between the new image data and image data previously collected and stored in a database. If there is a match, the system verifies an identity of the person and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

Abstract: An image processing device includes a blender and a display quality enhancer. The blender is configured to receive a plurality of layer data, generate first image data by blending the plurality of layer data, the first image data including a plurality of pixel values corresponding to a screen in a display device, and generate pixel map data including a plurality of pixel identifications (IDs) based on the plurality of layer data, the plurality of layer data representing a plurality of images to be displayed on the screen, the plurality of pixel IDs indicating display quality enhancement algorithms to be applied to the plurality of pixel values. The display quality enhancer is configured to generate second image data including a plurality of display quality enhancement pixel values by applying the display quality enhancement algorithms to the plurality of pixel values based on the first image data and the pixel map data.

Abstract: The present invention generally relates to an apparatus and a method for obtaining a registration error map representing a level of sharpness of an image. Many methods are known which allow determining the position of a camera with respect to an object, based on the knowledge of a 3D model of the object and the intrinsic parameters of the camera. However, regardless of the visual servoing technique used, there is no control in the image space and the object may get out of the camera field of view during servoing. It is proposed to obtain a registration error map relating to an image of the object of interest generated by computing an intersection of a re-focusing surface obtained from a 3D model of said object of interest and a focal stack based on acquired four-dimensional light-field data relating to said object of interest.

Abstract: An agricultural vehicle monitoring system includes first and second noncontact sensors configured for coupling with an agricultural vehicle, where the first and second noncontact sensors are configured to sense respective first and second environmental characteristics for determining a position of the agricultural vehicle in a field. The system further includes a comparative vehicle monitor in communication with the first and second noncontact sensors. The comparative vehicle monitor includes a filter module to filter outputs of the first and second noncontact sensors based on an indicator of a relative quality of the output of each sensor. The comparative vehicle monitor additionally includes an evaluation module to determine a vehicle position of the agricultural vehicle relative to at least one of the first and second environmental characteristics according to filtered outputs of the first and second noncontact sensors.

Abstract: A device for extracting depth information according to one embodiment of the present invention includes: a light outputting unit for outputting IR (Infrared) light; a light inputting unit for inputting light reflected from an object after outputting from the light outputting unit; a light adjusting unit for adjusting the angle of the light so as to radiate the light into a first area including the object, and then for adjusting the angle of the light so as to radiate the light into a second area; and a controlling unit for estimating the motion of the object by using at least one of the lights between the light inputted to the first area and the light inputted to the second area.

Abstract: Systems and methods are disclosed for adjusting plane positions in multi-dimensional models. Disclosed is moving a plane associated with an architectural element based on a scale and a translation positional error, wherein the scaled is determined based on the architectural element, and the translation position error is based on a position of the architectural element, and reconstructing the multi-dimensional building model based on the moved plane.