An object recognition system includes a two-dimensional carrier medium which can be disposed on a component in a vehicle interior. The carrier medium is configured as a light guide, and a coupling-in region and a coupling-out region are disposed on the carrier medium. Light from a surrounding area is coupled into the carrier medium via the coupling-in region, is transmitted to the coupling-out region by internal reflection, and is coupled out of the carrier medium. The object recognition system further includes an image capturing device to capture the light that is coupled out and provides the light coupled out of the carrier medium in a form of image data. The object recognition system further includes an evaluation device to capture an object in the surrounding area based on the image data, to recognize the object based on an object recognition criterion, and to provide object data describing the object.

An object recognition system includes a two-dimensional carrier medium which can be disposed on a component in a vehicle interior. The carrier medium is configured as a light guide, and a coupling-in region and a coupling-out region are disposed on the carrier medium. Light from a surrounding area is coupled into the carrier medium via the coupling-in region, is transmitted to the coupling-out region by internal reflection, and is coupled out of the carrier medium. The object recognition system further includes an image capturing device to capture the light that is coupled out and provides the light coupled out of the carrier medium in a form of image data. The object recognition system further includes an evaluation device to capture an object in the surrounding area based on the image data, to recognize the object based on an object recognition criterion, and to provide object data describing the object.

Provided are an image recognition device (1), a solid-state imaging device (CIS 2), and an image recognition method capable of improving accuracy in recognizing a subject. The image recognition device (1) according to the present disclosure includes an imaging unit (4) and a recognition unit (9). The imaging unit (4) captures a plurality of images having different sensitivities in one frame period to generate image data of the plurality of images. The recognition unit (9) recognizes the subject from the image data of each of the images, and recognizes the subject captured in an image of one frame based on a result of recognizing the subject.

A fraud confirmation assisting apparatus includes a light source, a reading sensor, and processing circuitry. The light source irradiates an object to be read with light in at least an invisible wavelength range. The reading sensor has sensitivity at least in the invisible wavelength range. The processing circuitry performs a reading operation on the object to be read by a combination of the light source and the reading sensor, and outputs a plurality of pieces of fraud confirmation information based on read information output from the reading sensor by the reading operation.

A fraud confirmation assisting apparatus includes a light source, a reading sensor, and processing circuitry. The light source irradiates an object to be read with light in at least an invisible wavelength range. The reading sensor has sensitivity at least in the invisible wavelength range. The processing circuitry performs a reading operation on the object to be read by a combination of the light source and the reading sensor, and outputs a plurality of pieces of fraud confirmation information based on read information output from the reading sensor by the reading operation.

A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.

The invention concerns a system for lighting a lateral region of a vehicle. The system includes a first rear light module capable of emitting a first light beam and a second front light module capable of emitting a second light beam. The first and second light modules are arranged such that their respective light beams are oriented towards each other. The invention also relates to a vehicle including such a system. The invention finally concerns a lighting method and a method for assisting the driving of a vehicle.

A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A computer assisted method for processing output from a mmWave sensor to derive a more reliable count of people in a room, zone or space being monitored by the sensor. In some examples, damping is applied to a varying “people count” signal from the sensor. The damping reduces volatility of the people count and avoids counting anomalous false positive detections. When the people count value decreases, damping may be applied more heavily to disregard intermittent false negatives where the sensor momentarily fails to detect an actual person. In some examples, the mmWave sensor provides point clouds representing the approximate shape and location of detected apparent objects, some of which may be people. Some example methods define digital targets corresponding to the point clouds. The targets are deemed to represent real people if the objects and their corresponding targets have sufficient lifespan and exhibit movement within a predetermined normal range.