Abstract: Feedforward reasoning models that include a video encoder configured to generate feature tokens from an input video, at least one dense attention head, at least one sparse attention head with two-way attention logic configured to transform settings from the feature tokens into a tracking token, a depth token, and a visibility token in accordance with an input prompt, and logic configured to transform the tracking token, depth token, and visibility token into track predictions for an object specified by the input prompt.

Abstract: A method to predict and fit an APC of a LEO satellite considering attitude information is provided, which includes: transforming a spacecraft body-fixed coordinate system, obtaining a transformation matrix from orbital coordinate system to transformed spacecraft body-fixed coordinate system, obtaining rotation angles during a rotation process, obtaining rotation angles in orbit determination time period to predict rotation angles in orbit prediction time period, obtaining a transformation matrix from spacecraft body-fixed coordinate system to Earth-fixed coordinate system of each prediction moment, obtaining a correction vector from a CoM to a phase center of a downlink signal antenna in the Earth-fixed coordinate system at each prediction moment, and obtaining an orbit of the phase center of the downlink signal antenna of a LEO satellite, and performing an ephemeris parameter fitting on the orbit of the phase center of the downlink signal antenna of the LEO satellite in a fitting time period.

Abstract: A location-aware search assist capability identifies location-aware search query suggestions using location information associated with the location-aware search query suggestions. A user's search query input and location and a location associated with each location-aware search query suggestion candidates may be used to identify a set of search query suggestions for presentation to the user. Location-aware search query suggestion candidates may be ranked in accordance with a closeness of each one's location to the user's location. The ranking may be performed using a score, such as a popularity score associated with each search query suggestion candidate. The location-aware search query suggestion candidates having a location closer to the user's location may be promoted by adjusting each candidate's popularity score upward, and the search query suggestion candidates that are farther away from the user's location may be demoted by adjusting each such candidate's popularity score downward.

Abstract: Embodiments of the present disclosure, relate to the technical field of path planning, provide a method for path planning, an apparatus for path planning, and a computer device therefor. The method includes: controlling a lawnmower robot to travel along a boundary of a mowing area for at least one lap to obtain a plurality of position information points of the mowing area; performing a fitting process on the plurality of position information points to obtain a fitted curve; performing a polyline conversion process on sample points on the fitted curve to obtain a target polyline; and determining the target polyline as a mowing path for the mowing area. In this way, the operating efficiency of the lawnmower robot is improved.

Abstract: Embodiments of the present disclosure provide a method for localizing a lawnmower robot, an apparatus, and a readable storage medium. During the operation of the lawnmower robot, corresponding data is acquired by a wheel speedometer, an inertial positioning device, and an image sensing device disposed on the lawnmower robot; the acquired wheel speedometer data is analyzed to derive a first residual term, the inertial positioning data is analyzed to derive a second residual term, and the image data is analyzed to determine a third residual term; and a cost function is constructed based on the first, second, and third residual terms, and the current position information of the lawnmower robot is obtained by minimizing the cost function. By tightly coupling the data collected from multiple sensors in the manner described above, the present disclosure is advantageous for improving the accuracy of localization results of the lawnmower robot.

Abstract: Disclosed is a Bayesian classification recognition system based on an industrial PaaS platform, comprising: an IaaS infrastructure service layer, a G-PaaS graph neural network processing layer, an O-PaaS docking service layer and an SaaS system application layer. The G-PaaS graph neural network processing layer is configured for point cloud feature generation, point cloud feature learning, point cloud structure estimation and point cloud model classification; and the recognition accuracy of a workpiece point cloud model is improved through the Bayesian classification recognition system based on the industrial PaaS platform.

Abstract: A method for generating a set of adversarial patches for an image. The method includes segmenting the image into a plurality of regions; selecting a set of target regions that satisfies an attacking criterion by discretely searching of the plurality of regions; and generating a set of adversarial patches by using the set of target regions.

Abstract: Disclosed are a method for constructing a mowing path for multiple lawns, an electronic device, and a computer readable medium. The method includes: displaying an area map of a first lawn and an area map of a second lawn; receiving a first position and a second position, wherein the first position is a position within the area map of the first lawn, and the second position is a position within the area map of the second lawn; controlling a mower to travel from the first position to the second position to obtain a corridor path; and constructing a joint mowing path for the first lawn and the second lawn based on the corridor path, a mowing path of the first lawn, and a mowing path of the second lawn. No user intervention is required while the mower operates along the joint mowing path, thereby saving manpower and facilitating.

Abstract: Apparatuses, systems, and techniques to generate an image. In at least one embodiment, neural networks receive an inputted one or more images, generate feature and depth information, and a neural network uses said information to generate one or more images. In at least one embodiment, a processor comprises one or more circuits to use one or more first neural networks to generate one or more first images from a viewpoint outside of an object based, at least in part, on depth information generated using one or more second neural networks and feature information generated by one or more third neural networks. In at least one embodiment, Using a point cloud and a viewpoint as inputs, a third neural network generates an image of vehicle from said viewpoint while parking.

Abstract: Diffusion models trained on largescale internet datasets have demonstrated an exceptional ability to generate high-quality and photorealistic two-dimensional (2D) images across diverse styles and domains. Generating three-dimensional (3D) scenes, however, is much more challenging and much less explored due to the lack of training data and the presence of many objects that necessitates compositionality and consistency across different views and objects. The present disclosure uses 3D blobs to create a compositional 3D scene representation from which 2D views can be generated.

Abstract: Systems and methods to train a convolutional neural network having two or more filter layers having different filtering parameters corresponding to respective different portions of a digital representation of an image. A processor comprising one or more arithmetic logic units (ALUs) to be configured to identify one or more features within an image based, at least in part, on a convolutional neural network having two or more filter layers having different filtering parameters corresponding to respective different portions of a digital representation of the image.

Abstract: In various examples, an environment visualization pipeline may determine whether to generate or otherwise enable a visualization using an environmental modeling pipeline that models an environment as a 3D bowl or using an environmental modeling pipeline that models the environment using some other 3D representation, such as a detected 3D surface topology. The determination may made based on various factors, such as ego-machine state, (e.g., one or more detected features indicative of a designated operational scenario, proximity to a detected object, speed of ego-machine, etc.), estimated image quality of a corresponding environment visualization, and/or other factors. Accordingly, an environment around an ego-machine, such as a vehicle, robot, and/or other type of object, may be visualized in systems such as parking visualization systems, Surround View Systems, and/or others.

Abstract: The present disclosure relates to the field of network technologies and discloses an application access control method and system, and a device, a medium and a program product thereof. The present disclosure provides an application access control method. The method includes: generating, by a security management application client, an access request after detecting access to a target application, and sending the access request to a central domain name system; performing, by the central domain name system, domain name resolution on the access request to obtain a target application domain name of the target application, and sending the target application domain name to an application gateway; and determining, by the application gateway, a target access policy for the target application based on a matching result of the target application domain name in a first configuration file, and controlling, based on the target access policy, a terminal device.

Abstract: An electronic device is configured for use with neighboring electronic devices mounted on a DIN rail to control at least part of a Building Management System (BMS). The electronic device includes a housing and a plurality of communication passthroughs extending between two opposing sides of the housing. Each of the plurality of communication passthroughs include a contact disposed on each of the two opposing side of the housing, wherein each of the contacts is configured to electrically and mechanically couple to a corresponding contact of a neighboring electronic device on the DIN rail. A first subset of the plurality of communication passthroughs collectively pass a first communication bus between the two opposing sides of the housing and a second subset of the plurality of communication passthroughs collectively pass a second communication bus between the two opposing sides of the housing.

Abstract: In various examples, systems and methods are disclosed relating to geometry estimation and dynamic object rendering for vehicle environment visualization. In embodiments, the environment surrounding an ego-machine may be visualized by extracting one or more depth maps from image data, converting the depth map(s) into a 3D surface topology of the surrounding environment, and/or texturizing the detected 3D surface topology with image data. Dynamic objects such as moving vehicles or pedestrians may be detected and masked from a first pass of texturization. Rigid dynamic objects may be visualized by warping corresponding depth values using corresponding trajectories, inserting or fusing the resulting warped 3D representation of each such object into the (e.g., texturized) 3D surface topology, and texturizing the warped 3D representation of each object using corresponding image data. Non-rigid dynamic objects may be represented as flat 2D surfaces and texturized with corresponding image data.

Abstract: In various examples, systems and methods are disclosed relating to geometry estimation and dynamic object rendering for vehicle environment visualization. In embodiments, the environment surrounding an ego-machine may be visualized by extracting one or more depth maps from image data, converting the depth map(s) into a 3D surface topology of the surrounding environment, and/or texturizing the detected 3D surface topology with image data. Dynamic objects such as moving vehicles or pedestrians may be detected and masked from a first pass of texturization. Rigid dynamic objects may be visualized by warping corresponding depth values using corresponding trajectories, inserting or fusing the resulting warped 3D representation of each such object into the (e.g., texturized) 3D surface topology, and texturizing the warped 3D representation of each object using corresponding image data. Non-rigid dynamic objects may be represented as flat 2D surfaces and texturized with corresponding image data.

Abstract: In various examples, an environment visualization pipeline may determine whether to generate or otherwise enable a visualization using an environmental modeling pipeline that models an environment as a 3D bowl or using an environmental modeling pipeline that models the environment using some other 3D representation, such as a detected 3D surface topology. The determination may made based on various factors, such as ego-machine state, (e.g., one or more detected features indicative of a designated operational scenario, proximity to a detected object, speed of ego-machine, etc.), estimated image quality of a corresponding environment visualization, and/or other factors. Accordingly, an environment around an ego-machine, such as a vehicle, robot, and/or other type of object, may be visualized in systems such as parking visualization systems, Surround View Systems, and/or others.

Abstract: A resource recovery method and a resource recovery system of desulfurized ash. The resource recovery method includes washing desulfurized ash with water, and performing solid-liquid separation to obtain solid residues rich in calcium sulfite and calcium sulfate and a solution rich in calcium hydroxide; preparing the solution into desulfurization slurry; and roasting the solid residues under the action of a reducing agent to obtain flue gas rich in sulfur dioxide and residues rich in calcium oxide. Therefore, the recovery of sulfur and calcium in the desulfurized ash is realized, and no solid waste, liquid waste, gas waste, etc. are produced in the process.

Abstract: An enhanced screen sharing method includes: a first electronic device that displays a first shared interface, and sends interface data of the first shared interface to a second electronic device. The second electronic device receives the interface data, and displays a second shared interface corresponding to the first shared interface. The second electronic device enables an interconnection mode for the first electronic device, and when detecting a trigger operation performed by a user on the second shared interface, determines event information corresponding to the trigger operation. The event information includes an event type and operation area information that correspond to the trigger operation. The second electronic device sends the event information to the first electronic device. The first electronic device receives the event information, and performs a corresponding operation based on the event information.

Abstract: In accordance with the present disclosure, one or more computing devices and/or methods are provided. In an example, a query may be received from a client device. In response to the query, a plurality of search results corresponding to a plurality of internet resources associated with the query may be generated. A plurality of content items may be generated based upon the plurality of search results. The plurality of content items may be generated using a plurality of content extraction tools. A language model may be used to generate a plurality of summaries of the plurality of content items. Summary scores of the plurality of summaries may be determined. A first summary may be selected from the plurality of summaries based upon the summary scores. In response to selecting the first summary, the first summary may be provided for display on the client device.