A method includes acquiring an image through a visual sensor during a movement of a mobile device. The method includes matching the image with key frames stored in a key frame database. The key frames are created based on two-dimensional coordinates of feature points included in a plurality of images previously acquired through the visual sensor. The method also includes computing a visual relative pose based on two-dimensional coordinates of matching feature points included in both of the image and the one or more key frames that have been matched with the image. The method also includes computing relevant information of the visual relative pose based on the two-dimensional coordinates of the matching feature points. The method further includes updating an absolute pose of the mobile device and a map based on the relevant information of the visual relative pose and relevant information of a dead reckoning based relative pose.

Embodiments of the invention include a vehicle telematics system including telematics a telematics device, where the telematics device includes a modem that communicates using several communication modes, and the processor of the telematics device is directed to operate in the communication mode, transmit a notification to the cellular data server regarding a switch to a different communication mode, switch to the navigation mode and obtain location data for a first time, switch back to the communication mode, extrapolate a new location for a second time while in the communication mode based on an analysis of the location data received during the navigation mode.

Embodiments of the invention include a vehicle telematics system including telematics a telematics device, where the telematics device includes a modem that communicates using several communication modes, and the processor of the telematics device is directed to operate in the communication mode, transmit a notification to the cellular data server regarding a switch to a different communication mode, switch to the navigation mode and obtain location data for a first time, switch back to the communication mode, extrapolate a new location for a second time while in the communication mode based on an analysis of the location data received during the navigation mode.

A method, system and product for dead reckoning-based analysis of fabricated maritime data. The method comprises determining an initial location of the maritime vessel; determining speed and heading information using the location-reporting signals; computing estimated location of the maritime vessel at a specific time, based on the initial location and based on the speed and heading information; comparing the estimated location with a reported location at the time according to location-reporting signals; based on the comparison, determining that the location-reporting signals are at least partially fabricated; and in response to the determination that the location-reporting signals are at least partially fabricated, performing a responsive action.

A method, system and product for dead reckoning-based analysis of fabricated maritime data. The method comprises determining an initial location of the maritime vessel; determining speed and heading information using the location-reporting signals; computing estimated location of the maritime vessel at a specific time, based on the initial location and based on the speed and heading information; comparing the estimated location with a reported location at the time according to location-reporting signals; based on the comparison, determining that the location-reporting signals are at least partially fabricated; and in response to the determination that the location-reporting signals are at least partially fabricated, performing a responsive action.

An example calibration system may include a tractor and a calibration unit. The tractor may include a first sensor and a second sensor. The calibration unit may include a processing unit and a non-transitory computer-readable medium containing instructions to direct the processing unit to: (1) determine a first estimate for a tractor parameter based upon signals received from the first sensor; (2) determine a second estimate for the tractor parameter based upon signals received from the second sensor; (3) determine a third estimate for the tractor parameter based upon a combination of the first estimate and the second estimate; (4) determine a tractor parameter correction based upon the second estimate and the third estimate; and (4) apply the tractor parameter correction to the second sensor to control positioning of the tractor.

An example calibration system may include a tractor and a calibration unit. The tractor may include a first sensor and a second sensor. The calibration unit may include a processing unit and a non-transitory computer-readable medium containing instructions to direct the processing unit to: (1) determine a first estimate for a tractor parameter based upon signals received from the first sensor; (2) determine a second estimate for the tractor parameter based upon signals received from the second sensor; (3) determine a third estimate for the tractor parameter based upon a combination of the first estimate and the second estimate; (4) determine a tractor parameter correction based upon the second estimate and the third estimate; and (4) apply the tractor parameter correction to the second sensor to control positioning of the tractor.

This application provides an indoor map generation method and apparatus. In the method, a plurality of first tracks are obtained based on a PDR algorithm. A plurality of first target tracks are further selected from the plurality of first tracks, and at least one second track corresponding to each first target track is extended to the first target track based on the first target track, to obtain a branch. The obtained branches are combined, to obtain a map.

This application provides an indoor map generation method and apparatus. In the method, a plurality of first tracks are obtained based on a PDR algorithm. A plurality of first target tracks are further selected from the plurality of first tracks, and at least one second track corresponding to each first target track is extended to the first target track based on the first target track, to obtain a branch. The obtained branches are combined, to obtain a map.

Systems, methods, and apparatus for tracking location of an inspection robot are disclosed. An example apparatus for tracking inspection data may include an inspection chassis having a plurality of inspection sensors configured to interrogate an inspection surface, a first drive module and a second drive module, both coupled to the inspection chassis. The first and second drive module may each include a passive encoder wheel and a non-contact sensor positioned in proximity to the passive encoder wheel, wherein the non-contact sensor provides a movement value corresponding to the first passive encoder wheel. An inspection position circuit may determine a relative position of the inspection chassis in response to the movement values from the first and second drive modules.