A system for tamper detection of a motion detector. The system includes an electronic controller configured to receive orientation data from an accelerometer of the motion detector. The electronic controller is also configured to filter the orientation data of the accelerometer of the motion detector. The electronic controller is further configured to determine an orientation of the motion detector using the filtered orientation data. The electronic controller is also configured to identify a tamper condition of the motion detector based on the orientation of the motion detector. The electronic controller is further configured to activate an alarm device of the motion detector based on the tamper condition.

A system for tamper detection of a motion detector. The system includes an electronic controller configured to receive orientation data from an accelerometer of the motion detector. The electronic controller is also configured to filter the orientation data of the accelerometer of the motion detector. The electronic controller is further configured to determine an orientation of the motion detector using the filtered orientation data. The electronic controller is also configured to identify a tamper condition of the motion detector based on the orientation of the motion detector. The electronic controller is further configured to activate an alarm device of the motion detector based on the tamper condition.

Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.

Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.

A method including operating a vehicle in a medium. The vehicle is subject to advection due to movement of the medium. The method also includes measuring, using a navigation system, positions of a vehicle over time. The method also includes measuring, using a directional sensor, a course-through-medium over the time. The method also includes calculating, using the positions and the course-through-medium, a variation of a speed-over-ground of the vehicle over the time as a function of the course-through-medium over the time. The method also includes concurrently estimating, using the variation, 1) an average speed-through-medium for the vehicle over the time, and 2) an advection rate of the medium, and 3) an advection direction of the medium.

An assembly for a vehicle includes a seatbelt buckle, a seatbelt retractor, and webbing retractably extendable from the seatbelt retractor and releasably engageable with the seatbelt buckle. The webbing is extendable from the seatbelt retractor from a fully retracted position toward an extended position. The assembly includes a vibration motor on the seatbelt buckle. The assembly includes a computer having a processor and memory including instructions executable by the processor to activate the vibration motor in response to movement of the webbing from the fully retracted position toward an extended position. The vibration motor provides haptic guidance to an occupant to engage the clip with the seatbelt buckle.

An assembly for a vehicle includes a seatbelt buckle, a seatbelt retractor, and webbing retractably extendable from the seatbelt retractor and releasably engageable with the seatbelt buckle. The webbing is extendable from the seatbelt retractor from a fully retracted position toward an extended position. The assembly includes a vibration motor on the seatbelt buckle. The assembly includes a computer having a processor and memory including instructions executable by the processor to activate the vibration motor in response to movement of the webbing from the fully retracted position toward an extended position. The vibration motor provides haptic guidance to an occupant to engage the clip with the seatbelt buckle.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A child safety seat checking system for a child safety seat of a vehicle, in particular a motor vehicle, is comprised of at least one child safety seat, a first checking device for checking whether a child is located in the child safety seat, and a second checking device for checking whether a person supervising the child is present, wherein the second checking device is designed to operate in an at least partly portable manner in an operating state of the child safety seat checking system and/or is designed to operate regardless of an on/off state of the vehicle.