A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A system includes a processor and a memory. The memory stores instructions executable by the processor to detect an object exterior to a vehicle, and to actuate a fluid dispenser device based on an opacity of a window and a location of the detected object.

Apparatuses, systems and methods are provided for generating a vehicle driver rating. More particularly, apparatuses, systems and methods are provided for determining vehicle driver ratings based on vehicle interior image data.

The invention relates to a method for assisting a driver of a motor vehicle (1) in maneuvering the motor vehicle (1) with a trailer (3), wherein image data is captured from an environmental region (12) of the motor vehicle (1) by means of at least one vehicle-side camera (5) and by means of at least one trailer-side camera (10) and an image (B) of the environmental region (12) is created for displaying on a vehicle-side display device (14) depending on the captured image data, wherein a perspective (P1, P2), from which the environmental region (12) is displayed in the image (B), is determined depending on a pivot angle (17) between the trailer (3) and the motor vehicle (1). The invention additionally relates to a driver assistance system (2) as well as to a vehicle/trailer combination with a motor vehicle (1), a trailer (3) and a driver assistance system (2).

A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

A retroreflectivity measurement system comprises a light source arranged to project light across a traffic lane during a measurement run, the light being limited to a particular portion of the visible light spectrum. A camera is selectively sensitive to this light to provide first filtered images and separately selectively sensitive to light at a portion of the spectrum not including the particular portion to provide second filtered images. A controller obtains sequences of first and second filtered images during the measurement run, and identifies within the sequences of images an illuminated road marking; determines a first intensity of the marking from a first filtered image, and a further intensity of the marking from the second filtered images; estimates an ambient intensity of the marking, by applying a scaling factor to the further intensity; and determines a retroreflectivity of the marking as a function of the first and estimated ambient intensities.

A camera system including: an image sensor that is controlled by one or more camera parameters; and a pre-processing circuit adapted to associate weights respectively with cells of a grid, wherein the weights differ from the one or more camera parameters, wherein the cells respectively include a plurality of contiguous picture elements of the image sensor.

A test bed for an image-processing system includes: a first computing unit arranged in the test bed, wherein the first computing unit is configured to execute simulation software for an environmental model, the simulation software being configured to calculate a first position x(t) and a first speed vector v(t) and to assign the first position x(t) and the first speed vector v(t) to a first virtual object in the environmental model; a second computing unit arranged in the test bed, wherein the second computing unit is configured to cyclically read in a position of the first virtual object in the environmental model and to compute, based on at least the read-in position, first image data representing a two-dimensional, first graphical projection of the environmental model; and an adapter module arranged in the test bed.

An image capturing apparatus comprises an image capturing unit, a moving object detection unit, a depth information detection unit configured to detect a plurality of depth information corresponding to each of the plurality of detection regions, a storage control unit configured to store the plurality of depth information as map data in a storage unit. The depth information detection unit detects a second depth information in a second detection region including at least one of regions in which the moving object is detected, and the storage control unit updates only the second depth information detected by the depth information detection unit with respect to the map data stored in the storage unit.