A vehicular driver monitoring system includes a camera and an electronic control unit. The camera is disposed at an interior rearview mirror assembly of the vehicle so as to view at least the face of a driver of the vehicle. The camera captures image data and the captured image data includes image data representative of the face of the driver. The vehicular driver monitoring system detects changes at the driver's eyes via processing by the image processor of image data captured by the camera, and determines driver attentiveness based at least in part on detected changes at the driver's eyes. The vehicular driver monitoring system functions as a remote Photoplethysmography system, and monitors a heart rate of the driver based at least in part on processing at the electronic control unit of image data captured by the camera, and determines impairment of the driver's capability to operate the vehicle.

A blind spot visualization system and method for eliminating blind spots for an operator of a vehicle. The blind spots are caused by obstructions in the vehicle. A first image based on a first frequency range, and a second image based on a second frequency range, is generated. The images of the first frequency range and the images of the second frequency range are combined to create a composite image. Displays on the obstruction, facing the operator, receive the composite image. The displays display the images to the operator so that the blind spots, caused by the obstructions in the vehicle, are eliminated.

A method of operating an apparatus using a control system that includes at least one neural network. The method includes receiving an input value captured by the apparatus, processing the input value using the at least one neural network of the control system implemented on first one or more solid-state chips, and obtaining an output from the at least one neural network resulting from processing the input value. The method may also include processing the output with another neural network implemented on solid-state chips to determine whether the output breaches a predetermined condition that is unchangeable after an initial installation onto the control system. The aforementioned another neural network is prevented from being retrained. The method may also include the step of using the output from the at least one neural network to control the apparatus unless the output breaches the predetermined condition. Similar corresponding apparatuses are described.

A vehicular vision system includes an electronic control unit (ECU) disposed at an interior rearview mirror assembly of a vehicle equipped with the vehicular vision system that includes electronic circuitry and associated software, a driver monitoring camera disposed at the interior rearview mirror assembly and having a field of view of a driver region in a cabin of the vehicle, and an occupant monitoring camera disposed at the interior rearview mirror assembly and having a field of view of an occupant region in the cabin of the vehicle. The electronic circuitry of the ECU includes an image processor operable to process image data captured by the driver monitoring camera and the occupant monitoring camera. The ECU, via processing at the ECU of image data captured by the driver monitoring camera, determines attentiveness of a driver of the vehicle.

According to at least one aspect, the present disclosure provides a vehicle camera comprising: a lens module; a circuit board including an image sensor configured to convert light incident through the lens module into an electrical signal; a front housing having the lens module coupled to a front side thereof and the circuit board coupled to a rear side thereof; a rear housing coupled to the rear side of the front housing and provided to surround the circuit board; an outer cover configured to surround at least a portion of the lens module, the outer cover including one or more infrared passing portions; and a depth camera module included inside the outer cover and coupled to the front side of the front housing, the depth camera module being configured to capture an image for detecting an obstacle around the vehicle using the infrared passing portion.

A system, such as a driver assistance system, arranged to form images of outside a vehicle for viewing from an eye box region within the vehicle. The system comprises an image capture device, a picture generating unit and an optical element. The image capture device is arranged to be mounted to the vehicle. The image capture device is arranged to capture images outside the vehicle. The optical element is disposed in front of the replay plane. The optical element has a focal length. The distance between the replay plane and the optical element is less that the focal length of the optical element such that the optical element forms a virtual image of each picture for viewing from the eye box region. The picture generating unit may be a holographic projector. The holographic projector may be arranged to form pictures on a replay plane. Each picture may correspond to an image captured by the image capture device.

A vehicle theft-prevention apparatus can include a locking mechanism with an engagement component. The locking mechanism can be engaged via a first action to apply a force on the vehicle when in an engaged state. The locking mechanism can disengage, via a second action, to withdraw the force from the vehicle when in the engaged state. The locking mechanism can maintain a current state of the force in response to the first action and the second action when in a disengaged state. One or more computing devices can receive a command to enable or disable the locking mechanism. In response to receiving the command, the computing device can cause the engagement component to transition the locking mechanism from the disengaged state to the engaged state or from an engaged state to a disengaged state.

A vehicle theft-prevention system can include a plurality of sensors configured to sense measurements proximate to a vehicle and a body configured to secure to a window of the vehicle. The body can include a wireless transceiver and at least one computing device coupled to the plurality of sensors and the wireless transceiver. The at least one computing device can be configured to receive, via the wireless transceiver, an indication to enter an armed mode from an unarmed mode. The at least one computing device can be configured to, in response to the indication, transition to the armed mode, wherein transitioning to the armed mode comprises setting a configuration of at least one property of a subset of the plurality of sensors.

A vehicle theft-prevention apparatus can include a slip clutch mechanism, a locking mechanism, and a cylindrical body including a first portion and a second portion. The first portion can be configured to rotate about the second portion. The locking mechanism can be configured to engage based on rotation of the first portion relative to the second portion in a first direction, and disengage based on a rotation of the first portion relative to the second portion in a second direction. The slip clutch mechanism can be configured to prevent the locking mechanism from further engaging from rotation in the first direction relative to the second portion based on a magnitude of force applied.

A vehicle theft-prevention apparatus can include a body, a computing device, sensors, and a speaker. The body can include a first and second portion and a light emitting portion. The first portion can move relative to the second portion. The second portion can include perforations to facilitate sound transmission from the speaker. The light emitting portion can be positioned between the first portion and the second portion. The light emitting portion can be configured to emit light based on a signal from the computing device. A lens can include a concentric structure protruding from the body. The lens can cover the sensor.