6 results about "Physical Maps" patented technology

The application belongs to the field of wireless communication and perception, and particularly relates to an environment map construction method for an arbitrary continuous irregular rough diffuse reflection scene. The application comprises: modeling a receiving end receiving signal with a continuous rough diffuse reflection probability model; using a two-dimensional off-network sparse Bayesian algorithm to extract channel parameter information from the receiving signal; perceiving the state of scattering points by using parameter information extracted from different observations; fusing the perceived scattering point information of multiple users and multiple base stations, performing data cleaning and clustering, and realizing perception of an arbitrary shape unknown environment including irregular scattering surfaces; and constructing a high-precision physical map by using a rotating polynomial fitting method. The application can greatly reduce the cost of environment map construction and prevent privacy leakage; can be applied to any unknown shape physical scattering scene, and can effectively extract and fuse a higher order of magnitude of environmental parameter state observations.

A method by a computing device obtains a digital image of a physical map, identifies features in the digital image, and obtains map augmentation information based on the identified features. The method then generates an augmented map based on the map augmentation information, and provides the augmented map for display. Related mobile devices and computer program products are disclosed.

The utility model discloses an obstacle test field for visual inspection and evaluation. The obstacle test field comprises a test darkroom, a test map, an illumination device and a data acquisition device, a projection device used for projecting the test map to the ground is arranged in the test darkroom, the test map is of a grid structure, and at least one test path marked by an arrow and at least one obstacle placed on the test map are arranged on the test map; the illumination device comprises an adjustable illumination lamp group and an illumination detection part used for detecting illumination of a height plane where the eyes of a to-be-tested person are located; the data acquisition device comprises wearable equipment used for acquiring eye movement data and limb movement data of the to-be-tested personnel, the projection technology is used for replacing a traditional physical map labyrinth canvas, the trouble of map laying is omitted, the detection efficiency is remarkably improved, and the requirement for canvas storage space is reduced.

A head-mounted device may include one or more sensors for capturing images of a real-world environment and for determining where the head-mounted device is facing in the real-world environment. The sensors can be used to capture images for creating a lighting map that indicates where one or more light sources are located within the environment and for creating a physical map representing a geometry of the environment. The sensors can be used to predict a direction in which the head-mounted device will be facing in the real-world environment. One of the sensors can include an image sensor for capturing images that are displayed to a user of the head-mounted device. One or more settings of the image sensor can be adjusted based on the lighting map and based on the predicted direction of where the head-mounted device will be facing when capturing a future frame.

This invention belongs to the fields of computer vision, depth completion, and 3D perception, and specifically provides a depth completion method based on heterogeneous non-rigid constraints. It includes the following steps: S1: Construction of a region-aware heterogeneous physical map; S2: Selection of sparse physical anchor points and definition of tracking confidence; S3: Construction of a multi-objective joint energy function; S4: Joint modeling and iterative optimization of scale and translation parameters; S5: Dynamic weight scheduling and result output based on tracking state. This invention is applicable to robot vision, industrial inspection, augmented reality, digital twins, medical imaging, and other monocular vision scenarios with local non-rigid changes, local dynamic perturbations, or only sparse depth observation. By introducing a region-aware heterogeneous physical map, node-level relative elastic weights, node-level relative sticky weights, and a joint optimization mechanism during testing, it achieves highly consistent recovery of dense depth maps under sparse depth constraints.