Abstract: An aircraft seat device with at least one shell element, with at least one table unit, with at least one support device that is configured to obliquely connect the at least one table unit to the shell element at least in a stowage position, the support device comprising at least one rotational bearing unit, which is configured for pivoting the table unit between the stowage position and at least one intermediate position that is situated substantially in a horizontal plane, the support device comprising at least one linear bearing unit, which is configured for traversing the table unit between the intermediate position and at least one completely deployed usage position that is close to a seat.

Abstract: One or more processors obtain an indication of user input identifying a position of a mobile device within a vehicle. The processor(s) obtain a location of the mobile device with respect to a coordinate system that is independent of the vehicle. The processor(s) determine a location of the vehicle with respect to the coordinate system based at least in part on the location of the mobile device and the identified position of the mobile device within the vehicle. The location of the vehicle with respect to the coordinate system may be determined to sub-meter accuracy.

Abstract: An aircraft seat module includes an enclosure unit which delimits a flight passenger seating region at least partially, and includes a door unit which at least closes a passage region to the flight passenger seating region in one or more operation states. The aircraft seat module further includes a bearing device which supports the door unit movably relative to the enclosure unit and has for this purpose a bearing module having a first bearing element and a second bearing element which are supported such that they are movable relative to each other.

Abstract: A method, apparatus and computer program product are provided for improving localization of a device. In order to improve the localization, a coarse location of the device is determined and a feature is identified in an image captured by an image capture unit associated with the device. The feature is represented with one or more points or lines within an image plane and a projection is determined of the one or more points or lines from the image plane to a ground plane. At one or more location points defined relative to the coarse location of the device, map data is compared to the projection of the one or more points or lines representative of the feature identified in the image. Based on the comparison, a refined location of the device is determined.

Abstract: A method, apparatus and computer program product are provided for improving localization of a device. In this regard, a coarse location of the device is determined and a neural network is utilized to determine one or more image-based vectors from the device to respective features in an image captured by an image capture device associated with the device. At one or more location points defined relative to the coarse location of the device, (a) one or more map-based vectors extending from a respective location point to respective features as defined by map data are compared to (b) the one or more image-based vectors. Based on the comparison, a refined location of the device is determined. A method, apparatus and computer program are also provided for training the neural network to determine an image-based vector from the device to a feature in an image captured by the device.

Abstract: The absolute altitude of multiple floors of a building are determined using a multi-mode learning process. Processor(s) execute application program code to cause an apparatus to operate in an initial floor learning mode that includes capturing outdoor altitude estimates for the apparatus and determining, based in part on the outdoor altitude estimates, instant altitude estimates for an initial floor of the building. An absolute altitude estimate for the initial floor is determined based one the instant altitude estimates. After the absolute altitude estimate for the initial floor satisfies a first threshold certainty, the apparatus operates in a subsequent floor learning mode configured for determining respective absolute altitudes for floors of the building based on the absolute altitude estimate for the initial floor and a priori floor height information for the building, a sensor-based altitude change estimate, and/or a determined floor height for the building.

Abstract: One or more processors obtain (a) first radio data and a first horizontal position corresponding to a mobile apparatus at a first time and (b) second radio data and a second horizontal position corresponding to the mobile apparatus at a second time. Responsive to determining that the first horizontal position and the second horizontal position are substantially similar, the one or more processors identify differences between the first radio data and the second radio data. Based at least in part on the differences between the first radio data and the second radio data and one or more threshold criteria, the one or more processors determine whether the mobile apparatus changed floors between the first time and the second time.

Abstract: A geometric plane defined by a building-perimeter feature in an image capture by a mobile device is identified. The building-perimeter feature is co-located with an exterior wall of a building within which the mobile device is located. An orientation and/or location of the mobile device with respect to the geometric plane and an orientation of the mobile device with respect to a defined geographical direction are determined. A building model for the building and defining perimeter portions of the building (each perimeter portion corresponding to a respective exterior wall) is obtained or accessed. Based on the orientation and/or location of the mobile device with respect to the geometric plane, the orientation of the mobile device with respect to the defined geographical direction, and/or the building model, a particular perimeter portion of the building model that corresponds to the building-perimeter feature is identified and corresponding location information is determined.

Abstract: A method is provided that includes obtaining one or more pieces of crowd-sourced information. A respective crowd-sourced information is at least indicative of a location at which the respective crowd-sourced information was gathered. The method determines a set of tiles at least partially based on the one or more geographical areas. For at least one tile, the method obtains one or more pieces of fingerprint information comprised by the one or more pieces of crowd-sourced information that were gathered within the respective area of the respective tile and determines an area type and/or context information indicative of a type of venue located within the respective tile and/or context the respective area of the respective tile is used for. The area type and/or context information is determined at least partially based on the one or more pieces of fingerprint information. A corresponding apparatus and computer program product are also provided.

Abstract: It is inter-alia disclosed a method performed by a mobile device, the method including: receiving at least one radio signal when scanning for observable radio signals at an observation position of the mobile device; determining or causing determining a venue associated with an identifier contained in or represented by the at least one radio signal at least partially based on a plurality of venue information items; determining or causing determining a position estimate of the observation position at least partially based on layout information representing a layout of the venue associated with the identifier.

Abstract: A method is disclosed that includes gathering one or more pieces of crowdsourcing information indicative of one or more positions at which the at least one mobile device is located during the gathering. The method also includes collecting one or more performance indicators indicative of measurable information associated with the gathering of the one or more pieces of crowdsourcing information. The one or more performance indicators enable an evaluation of the gathering of the one or more pieces of crowdsourcing information. The method further includes providing the collected one or more performance indicators. An according apparatus, computer program and system are also disclosed.

Abstract: Disclosed is an approach to improve data collection for a radio-based positioning system. The disclosed approach may involve processor(s) (e.g., of positioning server(s) and/or of a mobile device) obtaining radio data associated with the mobile device, where the radio data is collected while the mobile device is located within a particular vehicle during a time of commute. The processor(s) may determine a particular location of the particular vehicle representing where the particular vehicle is or was located during the time of commute. And the processor(s) may then use the particular location of the particular vehicle to geo-reference the radio data collected while the mobile device is located within the particular vehicle during the time of commute.

Abstract: After the aggregation/integration of an instance of contributed data into an instance of map data, a processor detects a reversion trigger corresponding to the instance of contributed data. The processor obtains a copy of the instance of contributed data and determines an instance of reverted map data based on at least the copy of the instance of contributed data and the at least one instance of map data. The instance of reverted map data comprises values corresponding to a de-aggregation of the instance of contributed data from the instance of map data. The instance of reverted map data is stored and/or provided as part of a digital map.

Abstract: A device generates a first plurality of aerial vehicle (AV) constellations about a geographic area and determines respective positioning scores for each AV constellation. The respective positioning score is determined based at least in part on a measure of positioning accuracy for positioning enabled by the AV constellation at position(s) of interest within the geographic area. The device generates a second plurality of AV constellations based on the first plurality and the respective positioning scores by modifying one or more of the AV constellations of the first plurality using random location perturbations. The device determines respective positioning scores for each AV constellation of the second plurality. The device selects a preferred AV constellation from a group of selectable constellations based on the respective positioning score of the preferred AV constellation, the group of selectable constellations generated based at least in part on the first and/or second plurality of AV constellations.

Abstract: A method includes obtaining piece(s) of calendar information indicative of at least one appointment taking place in a space and extracting a set of space identifiers representing space(s) of the venue. The space identifier(s) for one or more spaces are extracted based on an indoor map of the venue. The method also includes determining or triggering determining whether at least a part of the set of space identifiers or one or more spaces of the set of space identifiers match(es) the at least one space as represented by the piece(s) of calendar information; and if a match is found: determining one or more reference location estimates. A respective reference location estimate is indicative of a location of the space that was determined to be a match. A corresponding apparatus, computer program product and system are also provided.

Abstract: A network device stores a radio map comprising map data configured to enable radio-based positioning within a geographic area. The radio map is associated with a plurality of instances of quality information, with each instance of quality information corresponding to a respective location within the geographic area. The network device receives a quality information request corresponding to a geographic region within the geographic area. The quality information request is associated with an entity. Based on a determination of whether a contribution by the entity to a portion of the map data that corresponds to the geographic region satisfies one or more significance criteria, the network device either provides or withholds quality information corresponding to the geographic region.

Abstract: The invention relates to a method, performed by at least one apparatus. The method comprises obtaining sample measurements at least in part comprising altitude information and observed in an area at least in part represented by an altitude map, the altitude map comprising sub-sections representing respective sub-areas of the area; The method further comprises determining altitude estimates from the altitude information. The method further comprises updating one or more altitude estimate distributions associated with respective sub-sections of the altitude map based on the determined altitude estimates. The method further comprises determining, for one or more sub-sections of the altitude map, whether a respective sub-section of the altitude map represents a single level sub-area or multilevel sub-area, based on respective altitude estimate distributions associated with respective sub-sections of the altitude map.

Abstract: Disclosed is an image-based approach for device localization. In particular, a mobile device may capture image(s) of a vehicle that is substantially proximate to the mobile device. Based on the image(s), the mobile device may (i) determine parameter(s) associated with the vehicle, and (ii) determine or obtain a location of the vehicle in accordance with the determined parameter(s). Additionally, the mobile device may use the image(s) as basis for determining a relative location indicating where the mobile device is located relative to the vehicle. Based on the location of the vehicle and on the relative location of the mobile device, the mobile device may then determine a location of the mobile device.

Abstract: A method, apparatus and computer readable storage medium permit an updated radio map to be determined. In an iteration, the method obtains or holds available current radio map data representing a current radio map for a site and track data of a mobile device. The track data includes sensor data and radio signal observation data representing sets of radio signal observation results captured at different observation positions. The method estimates the observation positions on the track based on the current radio map data and the track data including the sensor data and the radio signal observation data and associates each estimated observation position with a respective set of radio signal observation results represented by the radio signal observation data to determine a sequence of radio fingerprints for the track. The method provides or uses the sequence of radio fingerprints for determining an updated radio map for the site.

Abstract: An apparatus obtains results of measurements of a mobile device on radio signals transmitted by a radio transmitter at a site. The results include at least an identifier of the radio transmitter and an indication of a received signal strength of the radio signals. A plurality of radio transmitters are distributed at the site. The apparatus compares the received signal strength with a threshold. If the received signal strength exceeds the threshold, the apparatus causes a notification of a user of the mobile device, obtains an indication of a location based on a user input identifying a location on a map of the site, the map presented on a display of the mobile device, and causes storage of the identifier of the radio transmitter and the indication of the location as approximate location of the radio transmitter.