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 driver-assistance device includes: a memory; and a processor including hardware. The processor is configured to: acquire both line-of-sight information on a line of sight of a driver and image data resulting from imaging surroundings of a vehicle; set a display position and display contents of an image generated from the image data based on the line-of-sight information; and output the display position and the display contents together with the image.

An affixable device can include a locking mechanism, a force-limiting mechanism, and a sensing mechanism. The locking mechanism can include an engagement component configured to disable the locking mechanism. The force-limiting mechanism can be configured to limit a locking force of the locking mechanism. The sensing mechanism can be coupled to the engagement component, and can be configured to determine that the force-limiting mechanism has limited the locking force of the locking mechanism. In response to determining the force-limiting mechanism limiting the locking force, the sensing mechanism can cause the engagement component to disable the locking mechanism.

A sensing device can include an accelerometer, a transceiver, and a computing device in communication with the accelerometer and transceiver. The computing device can transmit a first set of signals at a first power level to a remote device. The computing device can determine, via the accelerometer, a movement of the sensing device. The computing device can increase a power level for transmission from the first power level to a second power level in response to the movement. The computing device can transmit future signals at the second power level to the remote device.

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.

Disclosed herein is a vehicle theft prevention device. The device can include a data store including event configuration data. The device can include one or more sensors that can sense various types of measurements proximate to a vehicle. The device can include a computing device in communication with the sensors. The computing device can read measurements from the sensors and determine that a particular event has occurred. The computing device can analyze the measurements to determine the particular event occurred based on the event configuration data. When the particular event occurs, the computing device can perform one or more remedial actions.

A sensing device can include at least one sensor, positioning circuitry, a transceiver, and a computing device in communication with the at least one sensor, the positioning circuitry, and the transceiver. The computing device can determine a location of a vehicle via the positioning circuitry. The computing device can determine that a point of interest (POI) associated with a predefined category of POIs corresponds to the location. The computing device, via the transceiver, can determine that a person is moving away from the vehicle based on a measurement associated with a remote device. The computing device can enter into an armed mode in response to the determinations. The computing device can detect an intrusion into a vehicle while in the armed mode based at least in part on measurements from the at least one sensor. The computing device can generate an alarm in response to the intrusion.

Disclosed herein is a vehicle theft prevention device. The device can include a data store including event configuration data. The device can include one or more sensors that can sense various types of measurements proximate to a vehicle. The device can include a computing device in communication with the sensors. The computing device can read measurements from the sensors and determine that a particular event has occurred. The computing device can analyze the measurements to determine the particular event occurred based on the event configuration data. When the particular event occurs, the computing device can perform one or more remedial actions.

An automatic fog identification method using a front camera image and a emergency fog red LED high beam system using the same are proposed. The emergency fog red LED high beam system is configured such that a red LED module is applied to a high beam light source, thus providing a clear and wide view for a driver without diffused reflection even in a foggy situation.

The invention relates to a vehicle (1) comprising: a chassis (2) which has a longitudinal axis (A2) and which is supported by wheels; a cab (5) mounted on the chassis (2); a trailer (50) pivotally connected to the chassis (2), the trailer (50) having a longitudinal axis (A50); a camera monitoring system (40) which includes a camera arranged on a supporting arm mounted on the cab (5), for providing a captured image of an area located rearward of the cab (5); at least one lighting assembly (30) which is mounted on the cab (5) and which includes at least one light source (38) configured to project a picture rearward of the cab (5), the picture forming a mark on a functional face (54) of the trailer (50), said mark being detectable by the camera, and being representative of an angle (α) between the trailer longitudinal axis (A50) and the chassis longitudinal axis (A2).