Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

A vehicle door interior trim assembly includes a trim panel and an armrest supported by the trim panel. The armrest includes an energy absorbing device. The energy absorbing device includes an inboard panel and an outboard panel. The outboard panel is between the inboard panel and the trim panel. The energy absorbing device has a variable crush resistance based on a temperature of the energy absorbing device. A heater is operatively coupled to the energy absorbing device.

Systems and methods for controlling vehicle seat position are disclosed herein. An example device can be configured to determine seat configuration parameters of a seat of a vehicle, determine seat weight distribution of a user, automatically adjust the seat configuration parameters in such a way that the seat weight distribution changes as the user is operating the vehicle, and automatically adjust a mirror position of the mirror of the vehicle in response to the automatic adjustment of the seat configuration parameters.

A weight management system for managing vehicle seat occupant body weight by using vehicle cameras and weight sensors of a plurality of vehicles having onboard communication modules. Each vehicle is equipped to analyze and compare weight changes of the vehicle seat occupant over time. Based on the weight status, a weight management recommendation can be transmitted to the vehicle seat occupant. Each vehicle is operatively connected to a weight management application in a data center. The weight management application includes a registration module which registers each vehicle. Additionally, a vehicle seat occupant may register with the weight management application to have his/her weight analyzed when travelling in any of the plurality of vehicles. The weight management application requests a search of a data lake and analysis of search results by a weight data artificial intelligence analytics program to improve the weight management recommendation.

A vehicle seat includes a seat with a seat pan and a backrest with a backrest bottom edge articulately being disposed adjacent to a seat pan rear edge. The seat pan and the backrest are positionable with respect to one another such that the seat is configurable into at least one of a taxi, takeoff and landing position, a napping position, and a sleeping position. A swivel is disposed beneath the seat. Base tracking also is disposed beneath the seat, permitting the seat to move in a lateral and a longitudinal direction. The seat also includes a first control to lock and unlock movement of the seat in lateral or longitudinal directions and a second control to lock and unlock the swivel. The swivel may be unlocked while movement of the seat in the lateral and the longitudinal direction is locked.

A safety device for monitoring a technical installation with a pressure-sensitive sensor. The pressure sensitive sensor having a plurality of first and second electrodes, wherein each first electrode overlaps each second electrode in an associated coupling site. Furthermore, each first electrode is spaced apart from the associated second electrode in the associated coupling site by a pressure sensitive material. Upon application of a force at the coupling site, an electrical resistance between the associated first and second electrode changes. A measuring circuitry coupled to said plurality of first and second electrodes successively determines the electrical resistance at associated coupling sites. For determining the electrical resistance at a coupling site via the associated first and second electrode, the measuring circuitry connects the further first and second electrodes to a terminal for receiving a defined potential to enable isolated measurement of the electrical resistance at the coupling site.

An occupant classification system for a seat assembly (20) includes a plurality of sensors (32), a posture classifier and a weight classification system. The seat assembly includes a seat cushion (22) and a seat back (24). Each of the plurality of sensors (32) measures a force applied to the seat cushion (22) by an occupant of the seat assembly. The posture classifier identifies a posture of the occupant based on the distribution of forces applied to each of the plurality of sensors (32). The weight classification system identifies a weight class of the occupant based on the posture and the magnitude of forces applied to each of the plurality of sensors (32).

Force-detecting sensors are installed in a motorcycle's handlebars, footpegs and seat to detect the rider's grip, weight and weight distribution. A control unit interprets the signals from the sensors to determine an attribute of the rider or an intention of the rider to make a manoeuvre. Signals from environmental sensors are used by the control unit to determine whether the intended manoeuvre would endanger the rider, and, if so, the rider is alerted before the manoeuvre is undertaken. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, of as little as a fraction of a second, a rider is given extra time to avert a potential accident. The control unit also controls settings of the motorcycle during a hazardous state of the motorcycle.

Techniques are disclosed for systems and methods to detect and/or classify a vehicle occupant, such as a passenger seated within the cockpit of a vehicle. An occupant classification system includes an occupant weight sensor, an occupant presence sensor, and a logic device configured to communicate with the occupant weight sensor and the occupant presence sensor. The logic device is configured to receive occupant weight sensor signals from the occupant weight sensor and occupant presence sensor signals from the occupant presence sensor, determine an estimated occupant weight and an occupant presence response based, at least in part, on the occupant weight sensor signals and the occupant presence sensor signals, and determine an occupant classification status corresponding to the passenger seat based, at least in part, on the estimated occupant weight and/or the occupant presence response.

The vehicle system includes an output device, a plurality of rear seats, a plurality of belt buckle sensors provided on each of the plurality of rear seats, a plurality of seat belt reminder (SBR) sensors provided on each of the plurality of rear seats, and a controller. The controller is configured to determine one rear seat on which a passenger or an object having a weight equal to or less than a predetermined weight is located based on an output value of the SBR sensor, determine whether a seat belt corresponding to the determined rear seat is worn based on an output value of the belt buckle sensor, and control the output device to output a warning message when the vehicle is turned off and a door of the rear seat is not opened or closed in a state in which the seat belt is worn.