Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing for vehicular monitoring operations. In a first aspect, a method of image processing includes receiving image data from an image sensor comprising a red-clear-clear-green (RCCG) color filter, wherein the image data comprises a first channel corresponding to red, a second channel corresponding to clear, and a third channel corresponding to green, wherein the image data is in a logarithmic domain; and processing the image data by performing operations including linearization, tone mapping, demosaicing, and color mapping. Other aspects and features are also claimed and described.

Abstract: A side-shield (310) for a radar transceiver (130), the side-shield (310) including a non-uniform delay structure arranged over an extension plane of the side-shield, the non-uniform delay structure being configured to delay a radar signal (220, 320) propagating through the side-shield (310) by a variable amount in dependence of a wavelength of the radar signal and in dependence of a location on the extension plane, thereby steering and/or diffusing the radar signal (320) after propagation through the side-shield (310).

Abstract: The present disclosure relates to a vehicle control system (2) comprising a control unit arrangement (3) and at least one sensor arrangement (4, 5) in an ego vehicle (1). The sensor arrangement (4, 5) is adapted to provide sensor information for one preceding target vehicle (6) and surrounding target vehicles (7, 8, 9, 10, 11) separate from the preceding target vehicle (6). The control unit arrangement (3) is adapted to control an ego vehicle speed (v1) in dependence of the sensor information associated with the preceding target vehicle (6) such that an ego distance (r1) between the ego vehicle (1) and the preceding target vehicle (6) is obtained.

Abstract: A vehicle environment detection system (3) including a control unit arrangement (8) and at least one sensor arrangement (4) that is arranged to be mounted in an ego vehicle (1) and to provide sensor detections (9, 12) for at least two preceding target vehicles (10, 11). The control unit arrangement (8) is arranged to determine a resulting TTC, time to collision, between the ego vehicle (1) and a closest preceding target vehicle (10), based on an ego velocity (v0) and an ego acceleration (a0) for the ego vehicle (1), a first distance (r1) between the ego vehicle (1) and the closest preceding target vehicle (10), and that target velocity (v1, v2) and corresponding target acceleration (a1, a2) for a preceding target vehicle (10, 11) among the target vehicles (10, 11) that provide a lowest TTC value.

Abstract: An on-board system of a vehicle scans for target entities in at least one lane to a side of the vehicle and determines position and state of motion of detected target entities. From a state of the vehicle, an intention is inferred of a driver to move the vehicle into one of the at least one lane. If the on-board system detects a risk of collision between a target entity and the vehicle, then the motion of the vehicle is impeded by the system applying brakes of the vehicle and/or reducing a driving torque of the vehicle. A speed of the vehicle is monitored and a motion of the vehicle is not impeded if the speed of the vehicle is above a threshold speed.

Abstract: The present disclosure relates to a camera device light-trap arrangement (2) that comprises a lens opening (3), adapted to receive a camera lens assembly (4), and a rim border (5) that is adapted to abut a vehicle windshield (21) and has a width (w) that extends between an outside edge (6) and an inside edge (7). The rim border (5) circumvents an area (A) inside the inside edge (7) and comprises a first plurality of channels (8, 8?) that fluidly connect the outside edge (6) and the inside edge (7) when the rim border (5) is mounted to abut a vehicle windshield (21). Each channel (8, 8?) comprises inner walls (13, 14, 15) and an open side (16) that is adapted to face a windshield (21). A second plurality of channels (8, 8?), comprised in the first plurality of channels, extend in at least two different extension directions (D1, D2; D1, D3) from the outside edge (6) to the inside edge (7).

Abstract: A headlight control system (10) for a motor vehicle including, a controllable headlight (24) adapted to generate variable illumination of the vehicle environment, an imaging apparatus (11) adapted to capture images (100) from a region in front of the motor vehicle, and a data processing device (14) adapted to perform image processing of images (100) captured by the imaging apparatus (11) and to vary the light characteristics of the controllable headlight (24) depending on the image processing. A machine learning model (27) is implemented in the data processing device (14) which is trained to estimate and output an output signal (29) representing a desired illumination of the vehicle environment from one or more images (28) received as input from the imaging apparatus (11).