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18 results about "Simultaneous localisation and mapping" patented technology

A disabled chair that can make autonomous posture change

The present invention relates to a disabled chair that can move autonomously and change posture Simultaneous location determination and mapping will be performed using the SLAM algorithm on the data obtained by sensors (1, 4) based on a predefined target or a determined treatment process. While the chair (2) on which the user is sitting is in motion, the reclining mechanism (5) will make an autonomous posture change. As a result of these activities, which will be carried out under the control of a task computer (7), autonomous movement and posture change capabilities will be provided to the disabled chair.
Owner:ACERCE EMRE +1

Method and apparatus for route navigation, electronic device, computer readable medium

The present disclosure provides a method and apparatus for a route navigation, which relate to the technical fields of computer vision, image processing, augmented reality and the like. An implementation solution is: performing an augmented reality navigation on a current route based on real-time acquired GPS information of a terminal; acquiring SLAM (simultaneous localization and mapping) coordinates of the terminal; converting, in response to determining that the GPS information meets a preset positioning difference condition, the SLAM coordinates into calculated geographic coordinates; and performing an augmented reality navigation on the current route based on the calculated geographic coordinates.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Agent data processing

PendingUS20250139804A1Image enhancementDataflow computersSoftware modulesSimultaneous localisation and mapping
A method for processing agent data received from one or more agents traversing an environment for use in a simultaneous localisation and mapping process. The method includes determining a pipeline including a number of nodes, and a node configuration for some of the nodes. Each node relates to a respective data processing task implemented using a respective software module, the nodes being interconnected so as to define a node sequence representing a sequence of data processing tasks. The node and pipeline are then used to load and configure software modules, which are then executed to provide output data from at least one software module as processed agent data, wherein the processed agent data is used in a simultaneous localisation and mapping process.
Owner:COMMONWEALTH SCI & IND RES ORG

System and method of simultaneous localisation and mapping

A method of environment mapping includes the steps of receiving a plurality of images from respective different viewpoints; using a simultaneous localisation and mapping ‘SLAM’ process, detect feature points in the plurality of images; classifying one or more objects within the plurality of images as being objects of interest; determining the position of the or each object of interest using feature points corresponding to the objects of interest in the images; and providing an indication of the position of one or more objects of interest to a user of a virtual display; and where the step of determining the position of the or each object of interest using their feature points is repeated, more frequently than for other feature points in the images.
Owner:SONY INTERACTIVE ENTERTAINMENT LLC

Online rendering of images and speech features using a Gaussian splatting model

Methods and systems for executing a Gaussian online splatting model for simultaneously localizing and mapping a surrounding 3D space are disclosed. The model is configured to receive an image-based data sample representing a first field of view of the 3D space and, using a Gaussian 3D map of the model, to render a new image-based data sample representing a new field of view distinct from the first, as well as to render the corresponding speech features. By incorporating a hierarchical encoder and a contrastive speech-image pre-training model (CLIP model) into the architecture of the Gaussian online splatting model, the overall architecture is configured to operate in near real-time.
Owner:ROBERT BOSCH GMBH

Method for roadside assisted sensor deviation correction in simultaneous localization and mapping

A method for position and / or deviation correction of a moving object in a simultaneous localization and mapping (SLAM) environment. The method comprises receiving at the moving object point cloud data for an area associated with the moving object from a sensor located at a fixed location. A processor of the moving object performs the steps of: transforming the received point cloud data to a coordinate system of the moving object (16); matching the transformed point cloud data with point cloud data generated by a sensor at the moving object for the area associated with the moving object (17); and using the matched point cloud data to determine a corrected position and / or deviation of the moving object within a selected coordinate system (18).
Owner:HONG KONG APPLIED SCI & TECH RES INST

Artificial intelligence cleaner and method for operating same

An embodiment of the present invention provides an artificial intelligence cleaner comprising: a memory for storing a simultaneous localization and mapping (SLAM) map of a cleaning space; a travel driving part for driving the artificial intelligence cleaner; and a processor for collecting a plurality of cleaning records for the cleaning space, dividing the cleaning space into a plurality of cleaning areas by using the SLAM map and the plurality of collected cleaning records, determining a cleaning path of the artificial intelligence cleaner in consideration of the divided cleaning areas, and controlling the travel driving part according to the determined cleaning path, wherein when an abnormal situation occurs during cleaning on the basis of the determined cleaning path, the processor modifies the cleaning path by applying path simplification to a preconfigured area of the remaining cleaning area.
Owner:LG ELECTRONICS INC

System and method for performing simultaneous localization and mapping using machine vision system

The invention provides a mobile robot configured to navigate an operating environment, the mobile robot including a controller circuit that directs a driver of the mobile robot through the environment, navigates the mobile robot using a camera-based navigation system, and a camera coupled to the controller circuit. And a camera including optics defining a camera field of view and a camera optical axis, where the camera is positioned within the recessed structure and tilted such that the camera optical axis is aligned at an acute angle above a horizontal plane consistent with the top surface and aimed in a forward driving direction of the robot body, and the camera is configured to capture an image of an operating environment of the mobile robot.
Owner:IROBOT CORP

Systems and methods for simultaneous positioning and mapping

Various embodiments provide systems, methods, devices, and instructions for performing simultaneous localization and mapping (SLAM), which involve using images from at least two different poses of a camera within a physical environment to initialize the SLAM process. Some embodiments can achieve this by ignoring errors in matching corresponding features depicted in image frames captured by an image sensor of a mobile computing device, and by causing the minimization process to converge to a global minimum rather than falling into a local minimum to update the SLAM process.
Owner:SNAP INC

Event-based visual simultaneous localization and mapping method based on neural networks

The invention relates to a simultaneous localization and mapping method based on a computational model utilizing neural networks, employing only a single event-based camera as the sensor. Within the method, three different neural networks are trained to estimate the changes in the camera's position and orientation, depth, and the presence of loops. All of the defined estimations are combined to construct a map and calculate the robot's position relative to it. Detected loops reset cumulative errors, enhancing the consistency and accuracy of the method.
Owner:KARADENIZ TEKNIK UNIVERSITESI TEKNOLOJI TRANSFERI UYGULAMA & ARASTIRMA MERKEZI MUDURLUGU +1

Systems and methods for performing simultaneous localization and mapping using a machine vision system

The present invention provides a mobile robot configured to navigate an operating environment. The mobile robot includes a controller circuit and a camera. The controller circuit guides a drive of the mobile robot through the environment and navigates the mobile robot using a camera-based navigation system. The camera includes optics that define a camera field of view and a camera optical axis. The camera is positioned within a recessed structure and is tilted such that the camera optical axis is aligned at an acute angle above a horizontal plane that coincides with a top surface and is aimed in a forward driving direction of the robot body. The camera is configured to capture an image of the operating environment of the mobile robot.
Owner:IROBOT CORP

Sensor synchronization

The disclosure relates to a simultaneous localisation and mapping, SLAM, device a data processing unit, computer program and associated method for receiving first-sensor-data, first-motion-data and first-timing-information associated with the first-sensor-data and the first-motion-data; receiving second-sensor-data, second-motion-data and second-timing-information associated with the second-sensor-data and the second-sensor-motion-data; and correlating the first-motion-data with the second-motion-data to identify a relationship between the first-timing-information and the second-timing-information, in which the identified relationship between the first-timing-information and the second-timing-information defines one or more associations between the first-sensor-data and the second-sensor-data.
Owner:FARO TECHNOLOGIES INC

Method and system of simultaneous localization and mapping based on 2d lidar and camera

A system and method of simultaneous localization and mapping can include loading a map to which 2D feature point data stored in a memory is bound, acquiring 2D LiDAR point data from a LiDAR equipped in a mobility, acquiring 3D observation feature point data by receiving a front image from a camera equipped on the mobility, reducing a dimension of the 3D observation feature point data to 2D observation feature point data, binding the 2D observation feature point data to the 2D LiDAR point data, and detecting an absolute position of the mobility based on the 2D observation feature point data bound to the 2D LiDAR point data and the map to which the 2D feature point data is bound.
Owner:HYUNDAI MOTOR CO LTD +1

Unmanned aerial vehicles

The article to which the design of this application pertains is for an unmanned aerial vehicle equipped with a stereo camera for obstacle detection using SLAM (Simultaneous Localization and Mapping) and other multiple sensing cameras, and is equipped with two pairs of stereo cameras for obstacle detection in the rear unit.
Owner:SONY GROUP CORP

Augmented reality service instruction library based on self-expansion

An augmented reality (AR) service guide uses a mobile device (30, 90) with a display and a camera. Computer vision (CV) processing (102) such as simultaneous localization and mapping (SLAM) is performed to align AR content (80) with a live video feed (96) captured by the camera. The aligned AR content is displayed on the display of the mobile device. In one example, the mobile device is a heads-up display (HUD) (90) with a transparent display (92, 94) and a camera (20). In another example, the mobile device is a mobile phone or tablet computer (30) with a front display (34) and a rear camera (36). The AR content (80) is generated by CV processing (54) to align (70) the AR content with a recorded video (40) of a service call. The alignment (72) includes aligning a location of interest (LOI) identified by user input in the recorded video of the service call.
Owner:KONINKLIJKE PHILIPS NV