A method for managing location of a user device in a passenger compartment of a vehicle, including in particular the steps of calculating the distance of the user device in relation to each of the transceivers from the received response signals, calculating, for each transceiver, the difference between the distance between the transceiver and the user device that has been calculated and the distance between the transceiver and the user device that was previously used to determine the position of the user device in the passenger compartment, and, when one of the differences calculated in relation to one of the transceivers is erroneous by being higher than a predetermined “inconsistency threshold”, calculating the positional variation of the user device from the received response signals by excluding the response signal received for the transceiver.

A cab having a human-machine interface to generate a holographic image in order to control comfort equipment installed in the cab. The human-machine interface includes: a camera capable of capturing images representing a gaze of an occupant, one image generation unit having (a) a computer capable of calculating the position of the location of the occupant's gaze from the captured images, the computer being adapted to generate the digital holographic image according to the position of the occupant's gaze, (b) a spatial light modulator receiving the generated digital holographic image, and (c) a light source illuminating the spatial light modulator. The human-machine interface also includes a reflector reflecting the light beams emitted by the spatial light modulator into a visualizing window to form a holographic image positioned between the windscreen and the seat.

A first data acquiring unit to acquire first data acquired by a first sensor, a second data acquiring unit to acquire second data acquired by a second sensor installed above a seat in a cabin, a front-seat occupant position estimating unit to estimate a position of an occupant on a basis of the first data acquired by the first data acquiring unit, a detection range determining unit to determine a detection range of the second sensor on a basis of the position of the front-seat occupant estimated by the front-seat occupant position estimating unit, and a rear-seat occupant detecting unit to detect a rear-seat occupant on a basis of the second data acquired by the second data acquiring unit and the detection range of the second sensor determined by the detection range determining unit are provided.

A vehicle control method is disclosed. The vehicle control method includes: while controlling the driving of a vehicle taking control of itself, determining if there is a need to hand over the control of driving to a passenger in the vehicle; if it is determined that there is a need to hand over the control of driving to a passenger in the vehicle, selecting at least one of passengers to whom the control of driving may be handed over; determining an order of priority in handing over the control of driving by taking into consideration the at least one selected passenger's occupancy state information; handing over the control of driving to a top priority passenger according to the order of priority; and controlling the driving environment by taking into consideration the top priority passenger's occupancy state information.

Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

A vehicle safety apparatus mounted on a vehicle includes one or more cameras to detect passenger state information relating to a riding state of a passenger on the vehicle, a memory to store the passenger state information detected by the one or more cameras, and a processor to execute motion control of the vehicle based on the passenger state information stored in the memory. The processor is configured to execute posture determination processing to determine whether the passenger is riding in a stable posture based on the passenger state information, and safety securing processing to secure safety of the passenger by executing the motion control, when the passenger is not riding in the stable posture in the posture determination processing.

A user interface apparatus for a vehicle including a touch screen; a gesture input unit configured to detect a gesture of a user; and a processor configured to in response to the gesture detected by the gesture input unit being applied from a driver seat of the vehicle, display a preset first screen on the touch screen corresponding to driver operations of the vehicle, and in response to the gesture detected by the gesture input unit being applied from a front passenger seat of the vehicle, display a preset third screen on the touch screen corresponding to passenger operations of the vehicle excluding vehicle driving operations.

A travel instruction information generation device has a vehicle information acquisition unit, a travel instruction information generator, and a correction information generator. The vehicle information acquisition unit acquires vehicle information representing a specific state of a vehicle. The travel instruction information generator generates travel instruction information with which the vehicle performs self-driving by using three-dimensional map information. The correction information generator generates, on the basis of the vehicle information, correction information for correcting the travel instruction information.

Systems and methods for driver presence and position detection are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle, determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and selectively adjusting a vehicle parameter of the vehicle based on the driver not being in a fully-seated position.

A method for providing rest information based on a rest pattern of a driver and an apparatus therefor are disclosed. A rest information providing method according to an embodiment of the present disclosure determines a fatigue degree and provides rest information to a driver. Here, the rest information is previously analyzed rest information preferred by the driver, and thus vehicle use satisfaction of the driver can be improved. An autonomous vehicle of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.