The embodiments of the present invention propose a map construction device and method thereof. According to the method, a three-dimensional map is obtained, the three-dimensional map is converted to an initial two-dimensional map, the occupancy probabilities of the grids on the initial two-dimensional map is determined by the training model, and a final two-dimensional map is generated according to the occupancy probabilities of the grid. The three-dimensional map is constructed based on the depth data generated the architectural space scanning. The initial two-dimensional map is divided into multiple grids. The occupancy probability of each grid is related to whether there is an object occupying thereon. The final two-dimensional map is divided according to the grids, and the grids on the final two-dimensional map are determined whether there are objects occupying thereon. Therefore, according to the map construction device and method of the disclosure, a high-precision two-dimensional map can be generated.

A system and method for indoor positioning and tracking that uses beacon signal data, sensor data, and/or wireless network fingerprinting to create a moving map of radiofrequency (RF) devices in an indoor location. The moving map is continuously repaired and updated. The system incorporates user data into the moving map to enhance customer service and customer experience.

ETA (estimated time of arrival) calculation for a mobile machine is disclosed. The ETA of the mobile machine to a destination is calculated by obtaining a current pose of the mobile machine, obtaining a global path from the current pose of the mobile machine to the destination, obtaining a local path, calculating a dynamic ETA for each pair of the consecutive poses in the local path and summing the calculated dynamic ETAs, calculating a baseline ETA for each pair of consecutive poses from a pose in the global path that is closest to the last pose in the local path to the last pose in the global path and summing the calculated baseline ETAs, and obtaining a total ETA to the destination based on the dynamic ETA and the baseline ETA.

A computerized mapping system is provided, including a map server configured to, in a map serving phase, receive a request from a client device to view a portion of a map at least partially including a building for which an indoor map is available, at a requested level of detail that is outside a range for displaying the indoor map, and transmit a target tile with a prerendered bitmap image for the building, and a client-side renderable geometric element with a perimeter and a client-side renderable visual feature of the internal map feature of the indoor map selected according to a selection criterion set by an authorized user of the indoor map, to the client device for display.

Systems and methods for electronically mapping a facility are presented. The method comprises obtaining a CAD file that includes graphical representations of a facility. An occupancy-map image is generated based on the CAD file. A sensor, such as a sensor on a self-driving vehicle, is used to detect a sensed feature within the facility. Based on the sensed feature, the occupancy-map image can be updated, since the sensed feature was not one of the known features in the CAD file prior to the sensed feature being detected by the sensor.

Provided is an information processing apparatus including: a motion control unit (107) that controls a motion of an autonomous moving body (10), in which, when transmitting/receiving internal data related to the autonomous moving body, the motion control unit causes the autonomous moving body to express execution of the transmission/reception of the internal data by an action.

This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Techniques and systems are described for generating and using a sound localization model. A described technique includes obtaining for a building a sound sensor map indicating locations of first and second sound sensor devices in respective first and second rooms of the building; causing an autonomous device to navigate to the first room and to emit, during a time window, sound patterns at one or more frequencies within the first room; receiving sound data including first and second sound data respectively from the first and second sound sensor devices that are observed during the time window; and generating and storing a sound localization model based on the sound sensor map, autonomous device location information, and the received sound data, the model being configured to compensate for how sounds travels among rooms in at least a portion of the building such that an origin room of a sound source is identifiable.

Centerlines for generating network data of an indoor space can be simplified while the amount of calculation is limited. A centerline simplification unit 240 performs processing of deleting centerlines of passages that are movable regions in an indoor space and processing of correcting centerlines. A determination unit 242 determines whether or not the simplification has ended based on the number of centerlines or the number of vertices connecting the centerlines.