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.

The present disclosure relates to a method and a device for recognizing speech in a vehicle. The method for recognizing the speech in the vehicle may include collecting one or more types of information, determining information to be linked with each other for speech recognition based on an information processing priority predefined corresponding to each type of the collected information, analyzing the determined information to perform the speech recognition for a signal input through a microphone, and extracting at least one of a wake up voice or a command voice through the speech recognition to control the vehicle. Therefore, the present disclosure has an advantage of more accurately performing the speech recognition by linking collected various information in the vehicle with each other.

Techniques are described in which sensor data is used to determine one or more of background noise or occupancy associated with a passenger cabin of a vehicle. The sensor data, in turn, is used to determine an operating state for one or more components of the vehicle (e.g., pumps, compressors, fans, blowers, etc.) such that an amount of background noise within the passenger cabin is reduced (e.g., when a passenger/occupant is present). In various examples, the operating state of the component may operate in a different, though louder, state (e.g., higher efficiency, greater power, etc.) when an occupant is not present or proximate the component.

An ambient sound environment is captured by a microphone array of an autonomous vehicle traveling in the ambient sound environment. A perception module of the autonomous vehicle classifies sounds and localizes sound sources in the ambient sound environment. Classification is performed using spectrum analysis and/or machine learning. In an embodiment, sound sources within a field of view (FOV) of an image sensor of the autonomous vehicle are localized in a visual scene generated by the perception module. In an embodiment, one or more sound sources outside the FOV of the image sensors are localized in a static digital map. Localization is performed using parametric or non-parametric techniques and/or machine learning. The output of the perception module is input into a planning module of the autonomous vehicle to plan a route or trajectory for the autonomous vehicle in the ambient sound environment.

An electronic equipment device includes a microphone member and a cap. The microphone member is positioned in a through hole of a roof lining provided in a vehicle interior and disposed in an indoor space, and disposed in an outdoor space. The cap is positioned in the through hole of the roof lining and fitted to the microphone member in a state of being disposed in the indoor space. The cap has a fitting portion, a strap portion, and a hooking portion. The fitting portion is fitted to the microphone member. The strap portion is provided in the outdoor space. The hooking portion is formed in the strap portion and hooked on the microphone member.

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.

A motor vehicle includes a microphone detecting sounds originating outside of the motor vehicle. The microphone is disposed within a housing. A camera captures images of a scene outside of the motor vehicle. The camera is also disposed within the housing. Signals dependent upon the sounds detected by the microphone and signals dependent upon images captured by the camera are carried by a same communication channel.

An equipment part with a base and at least one pivot device, which is pivotable about a pivot axis relative to the base, with a drive device with which the pivot device is pivotable between a first position and a second position. The pivot device includes a base part and an extension part, wherein the extension part is guided movably relative to the base part in a translatory manner between a primary position and a secondary position. Associated with the base is a first support surface that engages with a second support surface, which is associated with the extension part, and rolls on this during the pivoting movement between the first position and the second position, wherein the extension part moves between the primary and the secondary position.

A method and system for detecting one or more living beings in a vehicle. An indication that the engine is off is received via on on-board diagnostics (OBD) device. Whether a first living being is in the front seat area is determined, and whether a second living being is in the back seat area is determined. In response to a determination that a first living being is not in the front seat area and a second living being is in the back seat area, a first temperature reading for a first temperature inside the vehicle is received and a second temperature reading for a second temperature outside the vehicle is received. A delta between the first temperature and the second temperature is computed. If the delta is less than a first threshold, then an alert is sent via the OBD device to a computing device associated with a user.

An adjustment assembly for use in a vehicle, including an adjustable part configured to move between an open position and a closed with respect to a vehicle body. The adjustable part may include an outer side and an inner side. At least a portion of the adjustable part may define an opening extending between the outer side and the inner side. The adjustment assembly may include an ultrasonic transmitter, disposed on either the adjustable part or the vehicle body and may be configured to emit a number of ultrasonic waves to an obstacle, and an ultrasonic receiver disposed on the inner side of the adjustable part and configured to receive the ultrasonic waves reflected from the obstacle through the opening.