A system and method for predicting, forecasting and suggesting voyage plans for a vessel by considering design parameters, weather in sailing routes and a user's preference for best weather or best economy or fastest way to reach the destination. Voyage plans are optimized using the above parameters, and directions are continuously provided in the form of heading and speeds to be maintained by the vessel during the course of the voyage.

A system and method for predicting, forecasting and suggesting voyage plans for a vessel by considering design parameters, weather in sailing routes and a user's preference for best weather or best economy or fastest way to reach the destination. Voyage plans are optimized using the above parameters, and directions are continuously provided in the form of heading and speeds to be maintained by the vessel during the course of the voyage.

An inspection robot incudes a robot body, at least two sensors, a drive module, a stability assist device and an actuator. The at least two sensors are positioned to interrogate an inspection surface and are communicatively coupled to the robot body. The drive module includes at least two wheels that engage the inspection surface. The drive module is coupled to the robot body. The stability assist device is coupled to at least one of the robot body or the drive module. The actuator is coupled to the stability assist device at a first end, and coupled to one of the drive module or the robot body at a second end. The actuator is structured to selectively move the stability assist device between a first position and a second position. The first position includes a stored position. The second position includes a deployed position.

The present invention relates to the efficient use of both local and remote computational resources and communication bandwidth to provide distributed environment mapping using a plurality of mobile sensor-equipped devices.

According to a first aspect, there is provided a method of determining a global position of one or more landmarks on a global map, the method comprising the steps of determining one or more differences between sequential sensor data captured by one or more moving devices; determining one or more relative localisation landmark positions with respect to the one or more moving devices; determining relative device poses based one or more differences between sequential sensor data relative to the one or more relative localisation landmark positions; and determining a correlation between each device pose and the one or more relative localisation landmarks positions.

The present invention relates to the efficient use of both local and remote computational resources and communication bandwidth to provide distributed environment mapping using a plurality of mobile sensor-equipped devices.

According to a first aspect, there is provided a method of determining a global position of one or more landmarks on a global map, the method comprising the steps of determining one or more differences between sequential sensor data captured by one or more moving devices; determining one or more relative localisation landmark positions with respect to the one or more moving devices; determining relative device poses based one or more differences between sequential sensor data relative to the one or more relative localisation landmark positions; and determining a correlation between each device pose and the one or more relative localisation landmarks positions.

Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

The present invention relates to a method for estimating the value of the angle of the direction of motion or of the walk of a person who carries a device capable of measuring the basic quantities related to his/her own inertia such as a common smartphone. The device is capable of measuring for example acceleration and angular rotation and to determine its orientation relative to Magnetic North. The estimation method in question is particularly suitable for estimating the direction angle of the individual's motion regardless of how the individual carries the device able to measure the main inertial quantities and consequently this method solves the problem of the determination of the relative attitude between the reference system of the carried device and the user reference system that moves within a generic absolute reference system.

A system includes an inspection robot having an input sensor comprising a laser profiler and a plurality of wheels structured to engage a curved portion of an inspection surface, wherein the laser profiler is configured to provide laser profiler data of the inspection surface; a controller, comprising: a profiler data circuit structured to interpret the laser profiler data; determine a feature of interest is present at a location of the inspection surface in response to the laser profiler data; and wherein the feature of interest comprises a shape description of the inspection surface at the location of the feature of interest.

Systems and methods are disclosed for determining position and pose of as well as tracking an object in a physical environment based on the emission and sensing of light signals. The derived position, pose and tracking information may be used in a VR/AR environment. The disclosed systems and methods allow for the improved tracking of both active and passive devices. In addition, the disclosed systems and methods enable an arbitrary number of light sensors to be disposed on an object, thereby increasing accuracy and mitigating the effects of occlusion of certain light sensors. Position and pose estimates may be refined and tracked using a filter lattice responsive to changes in observed system states and/or settings. Further, data received from an inertial measurement unit may be used to increase tracking accuracy as well as position and pose determination itself.