A vehicle control facility for the automated control of an electrical road vehicle for a route system with an energy-supply system that includes a lane-bound energy supply line, in particular an overhead line system. A position-determining unit determines a geographical position of the electrical road vehicle. A specific-lane-determining unit determines position data for a specific lane assigned to the lane-bound energy supply line. A communication interface transmits current relative positions of infrastructure features with respect to the electrical road vehicle to an external central specific-lane-determining facility and receives position data. A vehicle-control unit controls the electrical road vehicle with respect to the determined specific lane in dependence on the determined relative position of the specific lane.

The system receives position information in both an internal coordinate frame and an external coordinate frame. The system uses a comparison of position information in these frames to determine orientation information. The system determines one or more orientation hypotheses, and analyzes the position information based on these hypotheses. The system may include on-board accelerometers, gyroscopes, or both that provide the measurements in the internal coordinate frame. These measurements may be integrated or otherwise processed to determine position, velocity, or both. Measurements in the external frame are provided by GPS sensors or other positioning systems. Position information is transformed to a common coordinate frame, and an error metric is determined. Based on the error metric, the system estimates a likelihood metric for each hypothesis, and determines a resulting hypothesis based on the maximum likelihood or a combination of likelihoods.

Apparatuses, methods and systems for a swim apparatus are disclosed. One embodiment of the swim apparatus includes one or more sensors sensing motion of a swimmer, a direction indicator for indicating a direction to the swimmer, and a controller. The controller is operative to receive sense signals from the one or more sensors, and identify a desired bearing of the swimmer comprising identifying one or more natural gesture motions of the swimmer from the received sense signals that indicate the desired bearing of the swimmer. Further, the controller is operative to identify an actual heading of the swimmer based on the received sense signals, calculate a heading offset based on the desired bearing of the swimmer and the actual heading of the swimmer, and provide the heading offset to the direction indicator.

A robotic lawnmower (100) for movable operation within a work area (205) has a satellite navigation device (190), a deduced reckoning navigation sensor (195) and a controller (110). The controller causes the robotic lawnmower (100) to movably operate within the work area (205) in a first operating mode, the first operating mode being based on positions determined from satellite signals received by the satellite navigation device (190). The controller determines that a position cannot be reliably determined based on satellite signals received by the satellite navigation device (190), and in response thereto causes the robotic lawnmower (100) to movably operate within the work area (205) in a second operating mode. In the second operating mode, a deduced reckoning position estimate is obtained by the deduced reckoning navigation device (195). A search space is defined using the deduced reckoning position estimate, and the satellite navigation device (190) is recalibrated based on the defined search space. Once the satellite navigation device (190) has been recalibrated, the controller causes the robotic lawnmower (100) to again operate in the first operating mode.

A robotic lawnmower (100) for movable operation within a work area (205) has a satellite navigation device (190), a deduced reckoning navigation sensor (195) and a controller (110). The controller causes the robotic lawnmower (100) to movably operate within the work area (205) in a first operating mode, the first operating mode being based on positions determined from satellite signals received by the satellite navigation device (190). The controller determines that a position cannot be reliably determined based on satellite signals received by the satellite navigation device (190), and in response thereto causes the robotic lawnmower (100) to movably operate within the work area (205) in a second operating mode. In the second operating mode, a deduced reckoning position estimate is obtained by the deduced reckoning navigation device (195). A search space is defined using the deduced reckoning position estimate, and the satellite navigation device (190) is recalibrated based on the defined search space. Once the satellite navigation device (190) has been recalibrated, the controller causes the robotic lawnmower (100) to again operate in the first operating mode.

An example vehicle can include a sensor platform and a controller that is configured to determine an object that is in front of the vehicle, determine the object as a hazard by at least one of determining, using dead reckoning, that the object is in a path of travel of the vehicle that will cause the object to travel under a restricted zone of the vehicle and/or the object has a height that is higher than a vehicle ride height.

An example vehicle can include a sensor platform and a controller that is configured to determine an object that is in front of the vehicle, determine the object as a hazard by at least one of determining, using dead reckoning, that the object is in a path of travel of the vehicle that will cause the object to travel under a restricted zone of the vehicle and/or the object has a height that is higher than a vehicle ride height.

A method implemented by one or more processors may include determining a rotation between a client device frame and a world frame, determining a rotation between an average gravity aligned (AGA) frame of the client device and the client device frame, performing step detection of the client device, and determining a change in orientation from a first detected step to a second detected step. In one example, computing the change in orientation includes determining a rotation between a horizontally projected AGA (HPAGA) frame and the AGA frame, determining a rotation between the world frame and the HPAGA frame, and determining the change in orientation by using the rotation between the world frame and the HPAGA frame. The method may also include determining, using the computed change in orientation, pedestrian dead reckoning data of the client device over a time period, and determining an output location estimate of the client device using the pedestrian dead reckoning data.

A method is described for determining a position of a two-wheeled vehicle. The single-track vehicle has a vehicle path yaw rate when driving along curves and a yaw rate according to the inclined orientation which differs from the vehicle path yaw rate. An inclined orientation of the single-track vehicle and a speed of the single-track vehicle are measured. The vehicle path yaw rate of the single-track vehicle is determined from the measured inclined orientation and the measured speed. A device for carrying out the method is also described.

A method is described for determining a position of a two-wheeled vehicle. The single-track vehicle has a vehicle path yaw rate when driving along curves and a yaw rate according to the inclined orientation which differs from the vehicle path yaw rate. An inclined orientation of the single-track vehicle and a speed of the single-track vehicle are measured. The vehicle path yaw rate of the single-track vehicle is determined from the measured inclined orientation and the measured speed. A device for carrying out the method is also described.