Disclosed is an occupant detection device that detects an occupant riding in a vehicle, including: a first occupant detection unit to output at least one detection result about the occupant, the detection result being detected using an electric wave, each of the at least one detection result being about a corresponding one of detection result types; a degree of influence determination unit to acquire the vibration amount of the vehicle, and to use the vibration amount and the detection result from the first occupant detection unit, to thereby determine, as to each of the detection result types, a degree of influence which depends on the vibration amount; and an output determination unit to determine, using the degree of influence, whether to adopt or reject the detection result, and to, when determining to adopt the detection result, cause the detection result to be outputted.

A system for detecting a vehicular crash may (i) receive data from said at least one sensor; (ii) determine that a potential vehicular crash is imminent based upon the received data; and/or (iii) transmit one or more high priority packets including a notification that the potential vehicular crash is imminent. As a result, the speed and accuracy of detecting an imminent vehicular crash is increased. The system may also utilized vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

The present invention relates to a vehicle assistant system of a vehicle comprising at least a first camera and a second camera, wherein the first camera is arranged such that the area in front of the vehicle can at least partially be captured, and wherein the second camera is arranged such that the interior of the vehicle can at least partially be captured, and wherein the vehicle assistant system comprises one common image data analysis unit which is configured to process image data received from the first camera and the second camera. Furthermore, the present invention relates to a vehicle comprising at least one vehicle assistant system.

A seating system for a vehicle is disclosed. The seating system includes a support surface having a surface contour formed by first springs having fixed stiffness values, a frame, and second springs having adjustable stiffness values coupling the support surface and the frame. The first springs and the second springs together control motion of the support surface in relation to motion of the frame.

A vehicle adjustment assembly including sensors for adjusting the position of an auxiliary component of the vehicle is disclosed. The sensor is connected to the vehicle and is configured to detect a user's characteristics. The sensor generates data regarding the user's characteristics, and a computer receives the data generated by the sensor related to the user's characteristics. The auxiliary system is adjusted via input signals from the computer in response to the data generated by the sensor.

A vehicle adjustment assembly including sensors for adjusting the position of an auxiliary component of the vehicle is disclosed. The sensor is connected to the vehicle and is configured to detect a user's characteristics. The sensor generates data regarding the user's characteristics, and a computer receives the data generated by the sensor related to the user's characteristics. The auxiliary system is adjusted via input signals from the computer in response to the data generated by the sensor.

An occupant customized seat control apparatus and method are provided. The method includes recognizing, by a camera, an occupant that approaches a vehicle, controlling a display to move based on a height of the recognized occupant, determining whether the recognized occupant is an infant, and when the recognized occupant is determined to be an infant, determining whether a booster seat needs to be controlled based on the height of the recognized occupant, and when at least one of the booster seat, a footrest, or the combination thereof needs to be controlled, converting a value of the recognized height into a booster seat actuator movement amount value, and controlling the booster seat to move based on the converted actuator movement amount value.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.