Provided are methods for detecting objects within a vehicle. The methods can include emitting at least one auditory signal within the vehicle during at least one first time interval; measuring a second auditory signal emitted by an object within the vehicle during the second time interval subsequent to the at least one first time interval, where the emission of the second auditory signal is caused by the emission of the least one first auditory signal; determining a location of the object within the vehicle based on the measurement of the second auditory signal; and generating an alert to a user indicating the location of that object. Systems and computer program products are also provided.

A car mobile phone connection device includes: a USB connector socket or a car cigarette lighter socket, and a mobile phone holder including a paired USB connector plug or a car cigarette lighter plug and a mobile phone connection holding mechanism; wherein the socket has one or more of sunken external thread, raised external thread, sunken bayonet slot, raised bayonet slot, screw holes; the plug has flange and internal thread locking cap, flange and bayonet locking cap, flange and screw through-hole plate and screws, or screw through-hole flange and screws; the mobile phone connection holding mechanism has a mobile phone connector plug, a wireless charging board, or an NFC communication board. The socket is installed in the car. The mobile phone is set on the mobile phone connection holding mechanism, fixed on the car through the plug and the socket, and connected to a power supply of the car.

A vehicular driver monitoring system includes a camera disposed within a vehicle and having a field of view interior of the vehicle, and an adjustable mirror disposed within the vehicle. The adjustable mirror includes a mirror reflector that reflects light incident thereat. The camera views the adjustable mirror and captures image data based on light reflected by the mirror reflector of the adjustable mirror toward the camera. With a driver of the vehicle sitting in a driver seat of the vehicle, light reflected off a portion of the driver is reflected by the mirror reflector of the adjustable mirror toward the camera. An electronic control unit (ECU), responsive to processing by an image processor of image data captured by the camera, adjusts the adjustable mirror to reflect the portion of the driver toward a region of the lens of the camera.

A vehicle is provided that comprises two or more radio frequency (RF) antennas and two or more RF transceivers to communicate wirelessly sensitive information associated with a user of the vehicle (the two or more RF antennas being at different physical locations on an exterior of the vehicle). The vehicle determines which one of the two or more RF antennas is receiving a strongest signal from a common signal source, selects a first RF transceiver associated with the RF antenna with the strongest signal to send the sensitive information associated with the user to the common signal source, and sends the sensitive information associated with the user to the first RF transceiver for transmission to the common signal source.

A system includes an in-cabin sensor, a seatbelt routing zone module, and a seatbelt routing classification module. The in-cabin sensor is operable to generate an image of an occupant in a vehicle seat. The seatbelt routing zone module is configured to generate a seatbelt routing zone based on at least one of a size of the occupant in the image and a shape of the occupant. The seatbelt routing classification module is configured to determine whether a seatbelt is routed properly around the occupant based on whether the seatbelt is at least partially within the seatbelt routing zone.

A restraint control system of a vehicle includes: a position module configured to determine positions of seats within a passenger cabin of the vehicle; a restraint control module configured to, in response to detection of a collision of the vehicle: select which ones of the restraints of the vehicle to activate based on the positions of the seats; activate the selected restraints of the vehicle; and not activate non-selected ones of the restraints.

A shelving system includes side members that each define a first channel having a slide disposed therein. A cross member extends between and connects the slides. The cross member defines a second channel having a guide member disposed therein. The guide member defines a third channel and a flange. A container includes side walls having a rail. One of the rails is movably disposed in the third channel. The rails include a first locking element and a second locking element. The handle includes a third locking element that engages the first locking element. The handle is movable between a first position in which the second locking element engages the flange and the container is fixed relative to the guide member and a second position in which the second locking element is spaced apart from the flange and the container can translate relative to the guide member.

A driver assistance apparatus includes an external camera disposed at a vehicle so as to have an outer field of view of the vehicle, configured to obtain image data on the outer field of view of the vehicle; an internal camera disposed inside the vehicle to grasp a drivers gaze on board the vehicle, configured to obtain the drivers gaze data; and a controller including at least one processor configured to process the image data and the gaze data. The controller may be configured to grasp the driver's gaze based on the gaze data, and based on a determination that the driver is in a careless condition, to control at least one of a control timing of a steering device and a lateral distance limit value for operating the steering device to be changed.

An apparatus and a method for controlling an interior of a vehicle are disclosed. The apparatus for controlling the interior of the vehicle may include an interface configured to receive, at predetermined cycles, information on at least one of video of an inside of the vehicle collected by a camera or sound of the inside of the vehicle collected from a microphone, and a processor configured to determine a relationship between passengers in the vehicle based on the information, and control the interior of the vehicle based on the relationship between the passengers. When determining the relationship between passengers, a passenger relationship estimation algorithm used may be a neural network model generated through machine learning, and may be stored in a memory in the apparatus for controlling the interior of the vehicle, or may be provided via a server in an artificial intelligence environment through a 5G network.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.