Techniques for controlling a protection apparatus are provided. An example method includes detecting an offset collision or diagonal collision, and activating a suitable protection apparatus for protecting the side or head of a passenger at a timing in accordance with the degree of collision. An example controller may include a level calculation part for calculating a level of a front face collision, a ΔV.sub.offset calculation part for making an offset adjustment of a speed (ΔV), and a determination part for determining an offset collision or diagonal collision based on the level of the front face collision and the ΔV.sub.offset.

A method for classifying an accident event of a two-wheeled vehicle, in particular a bicycle. The method can be run in the form of an algorithm in a device comprising an analysis unit in order to indicate to the rider or a third party that the two-wheeled vehicle has been involved in a collision or has fallen over using a corresponding generated and/or transmitted item of information. The device can be used in a two-wheeled vehicle, such as a bicycle or in particular in an electric bicycle. However, it can of course also be used in a motorcycle or another single-track vehicle.

A method and a control unit for triggering a passenger protection arrangement for a vehicle are described. A crash type is determined as a function of a first signal of a centrally disposed first acceleration sensor system and of a second signal of a second acceleration sensor system disposed in the side region of the vehicle. The triggering of the passenger protection arrangement takes place as a function of the crash type.

A method for ascertaining a state value representing a condition of a surface, in particular, of a road, traveled upon by a vehicle. The vehicle includes at least one inertial sensor. The method is characterized in that the state value is increased or decreased as a function of at least one first signal acquired by the inertial sensor.

A vehicle, comprising a monitoring unit configured to monitor a surrounding environment of a vehicle body, a detection unit configured to detect an impact applied onto the vehicle body, a plurality of impact absorption units, and an operation control unit configured to selectively operate the plurality of impact absorption units, based on at least one of a monitoring result from the monitoring unit and a detection result from the detection unit.

The information processing device includes: an acquiring unit that acquires vehicle information including an acceleration of a vehicle and a detection time at which the acceleration is detected; a deriving unit that derives an amount of change of the acceleration per unit time using the vehicle information; a setting unit that sets a threshold value of the amount of change corresponding to an interval at which the acceleration is detected using the detection time; and an extracting unit that extracts the vehicle information corresponding to the amount of change as target data when the amount of change is equal to or larger than the threshold value.

A device implementing a system for estimating device location includes at least one processor configured to receive a first and second set of signals, each set corresponding to location data and being received based on a sampling interval. The at least one processor is configured to, for each sampling period defined by the sampling interval, obtain sensor data corresponding to device motion during the sampling period, determine an orientation of the device relative to that of the vehicle based on the sensor data, calculate a non-holonomic constraint based on the orientation of the device relative to that of the vehicle such that the non-holonomic constraint is iteratively updated, and estimate a device state based on the non-holonomic constraint.

This saddle-type vehicle includes an occupant protection device (21), a plurality of acceleration sensors (S1 and S2) which detect translational acceleration in a forward and backward direction acting on a vehicle, and a control device (25) which controls an operation of the occupant protection device (21) on the basis of detection values of the acceleration sensors (S1 and S2). The plurality of acceleration sensors (S1 and S2) include a first acceleration sensor (S1) and a second acceleration sensor (S2). The first acceleration sensor (S1) is disposed above a center of gravity (G) of the vehicle. The second acceleration sensor (S2) is disposed below the center of gravity (G). The control device (25) averages a detection value (de1) detected by the first acceleration sensor (S1) and a detection value (de2) detected by the second acceleration sensor (S2) and controls an operation of the occupant protection device (21) on the basis of the averaged value.

This saddle-type vehicle includes an occupant protection device (21), a plurality of acceleration sensors (S1 and S2) which detect translational acceleration in a forward and backward direction acting on a vehicle, and a control device (25) which controls an operation of the occupant protection device (21) on the basis of detection values of the acceleration sensors (S1 and S2). The plurality of acceleration sensors (S1 and S2) include a first acceleration sensor (S1) and a second acceleration sensor (S2). The first acceleration sensor (S1) is disposed above a center of gravity (G) of the vehicle. The second acceleration sensor (S2) is disposed below the center of gravity (G). The control device (25) averages a detection value (de1) detected by the first acceleration sensor (S1) and a detection value (de2) detected by the second acceleration sensor (S2) and controls an operation of the occupant protection device (21) on the basis of the averaged value.

A device implementing a system for estimating device location includes at least one processor configured to receive a first and second set of signals, each set corresponding to location data and being received based on a sampling interval. The at least one processor is configured to, for each sampling period defined by the sampling interval, obtain sensor data corresponding to device motion during the sampling period, determine an orientation of the device relative to that of the vehicle based on the sensor data, calculate a non-holonomic constraint based on the orientation of the device relative to that of the vehicle such that the non-holonomic constraint is iteratively updated, and estimate a device state based on the non-holonomic constraint.