An autonomous light system may comprise a reading light assembly, an object detection device; and a controller. The reading light assembly may include a light source and an actuation system. The controller may be operably coupled to the light source and the object detection device. The controller may include an object detection module and may be configured to receive object data from the object detection device, compare the object data against an object database, identify an object based on the comparison of the object data to the object database, send a first command to at least one of the light source and the actuation system.

In accordance with an exemplary embodiment, a system is provided that includes one or more first sensors, one or more second sensors, and a processor. The one or more first sensors are of a first sensor modality configured to obtain first sensor data pertaining to an occupancy status of one or more seats of a vehicle. The one or more second sensors are of a second sensor modality, different from the first sensor modality, configured to obtain second sensor data pertaining to the occupancy status of the one or more seats of the vehicle. The processor is coupled to the one or more first sensors and the one or more second sensors, and is configured to at least facilitate determining the occupancy status of the one or more seats of the vehicle based on a fusion of the first sensor data and the second sensor data.

A one-touch control system for operating the controls of a towed vehicle using a towing vehicle. The system includes an electronic control unit integrated into the towed vehicle and configured to receive a selection signal from the towing vehicle and simultaneously control a number of different components based on the selection signal. The components including a switch configured to turn on and off the towed vehicle, a sensor configured to detect whether a passenger is present in the towed vehicle, and an odometer configured to be deactivated when the switch indicates that the towed vehicle is off and the sensor indicates that there are no passengers in the towed vehicle.

Embodiments described herein provide systems and processes for scene-aware object detection. This can involve an object detector that modulates its operations based on image location. The object detector can be a neural network detector or a scanning window detector, for example.

This application provides an in-vehicle user positioning method, an in-vehicle interaction method, a vehicle-mounted apparatus, and a vehicle. In an example, the in-vehicle user positioning method includes: obtaining a sound signal collected by an in-vehicle microphone; in response to that a first voice command is recognized from the sound signal, determining a first user who sends the first voice command; and determining an in-vehicle location of the first user based on a mapping relationship between an in-vehicle user and an in-vehicle location.

A method and system for transmitting an access instruction for accessing a vehicle is provided. The system includes a sensory operable to be installed in association with a seat of the vehicle, and a processor that is configured to receive, from a device that is external to the vehicle, a request for accessing the vehicle, determine, using the sensor, an occupation status of the seat of the vehicle, and transmit an access instruction to the device, wherein the access instruction is based on the occupation status of the seat.

A method of automatic positioning a seat in an apparatus comprising two cameras located on either side of the seat, each one in a position able to acquire images of a face of a user seated on the seat. The seat comprises at least one motor, each motor acting on a position of the seat along a predefined axis. The method comprises: for each camera: obtaining a position of a predefined image zone in which at least one eye of a user of the apparatus should be located; acquiring an image of a user seated on the seat; detecting at least one eye of the seated user in the image acquired; and obtaining a relative position between each eye detected and the predefined zone. By using each relative position obtained, at least one motor is actuated until each predefined zone contains at least one eye of the seated user.

A driver login device includes: a network communication unit in communication with the server via a network; an image pickup device capturing a target to obtain a login data; an image processing unit electrically coupled to the image pickup unit, and receiving and processing the login data to obtain a digital data; and a central processing unit electrically coupled to the network communication unit, the image pickup device and the image processing unit. The central processing unit, by way of the network communication unit, receives the data of the driver from the server via the network, controls the image pickup device to capture the target, comparing the digital data with the data of the driver to generate a comparing result, and by way of the network communication unit, transmitting the comparing result back to the server via the network.

Computer implemented method for detecting a type of seat occupancy, comprising capturing, by means of an imaging device, an image of a seat, the image comprising depth data and intensity data, performing, by means of a processor device, a classifier algorithm on the captured image to determine a level of occupancy, wherein, if the determination indicates that the level of occupancy is above a predetermined threshold, the method comprises processing, by means of the processor device, the depth data with a convolutional neural network, to determine a type of occupation and wherein, if the determination indicates that the level of occupancy is below a predetermined threshold, the method comprises processing, by means of the processor device, the intensity data with a convolutional neural network to determine a type of occupation.

Computer implemented method for detecting an occupancy of a seat, comprising capturing, by means of an imaging device, a first image of a seat, the image comprising depth data, determining, by means of a processing device, a first height profile along a first line in the first image from the depth data, and comparing, by means of the processing device, the first height profile with a first reference height profile taken along the same first line to determine whether the seat is occupied.