DYNAMIC TIME OF CAPTURE
    1.
    发明公开

    公开(公告)号:US20240265576A1

    公开(公告)日:2024-08-08

    申请号:US18165873

    申请日:2023-02-07

    IPC分类号: G06T7/80 H04N23/73 H04N23/741

    摘要: Techniques are described herein for processing image data. For instance, a process can include obtaining a respective exposure time for each exposure of a set of exposures for an output image, wherein each respective exposure of the set of exposures contribute to the output image; determining a respective beginning time for each exposure of the set of exposures based on each respective exposure time and an end time to an exposure period for the set of exposures; determining an original beginning time based on each respective beginning time for each exposure of the set of exposures; adjusting the original beginning time based on an amount by which each respective exposure of the set of exposures contribute to the output image to obtain an adjusted beginning time; and determining a time stamp for the output image based on the adjusted beginning time and the end time to the exposure period.

    A VEHICLE CONTROL SYSTEM
    3.
    发明公开

    公开(公告)号:US20240140422A1

    公开(公告)日:2024-05-02

    申请号:US18549416

    申请日:2022-03-29

    发明人: Thomas LYNGFELT

    IPC分类号: B60W30/16 B60W30/14 B60W50/00

    摘要: 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. A time gap (ΔT1) is defined as the time for travelling the ego distance (r1) at the ego vehicle speed (vi), The control unit arrangement (8) is adapted to control the ego vehicle speed (V1) in dependence of the sensor information associated with the surrounding target vehicles (7, 8, 9, 10, 11) such that a present time gap (ΔT1) is maintained in dependence of the number of detected surrounding target vehicles (11).

    DRIVER ATTENTION DETERMINATION USING GAZE DETECTION

    公开(公告)号:US20240067182A1

    公开(公告)日:2024-02-29

    申请号:US17822353

    申请日:2022-08-25

    摘要: 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 monitoring includes receiving first image data from a first camera oriented in a first direction with a first field of view facing a user; receiving second image data from a second camera oriented in a second direction different from the first direction, the second camera having a second field of view corresponding to a field of view of the user; determining a set of regions of interest based on the second image data; determining a gaze direction of the user based on the first image data; and determining an attentiveness score based on correspondence between the set of regions of interest and the gaze direction. Other aspects and features are also claimed and described.

    DRIVER ASSISTANCE SYSTEM AND METHOD

    公开(公告)号:US20230047404A1

    公开(公告)日:2023-02-16

    申请号:US17976477

    申请日:2022-10-28

    发明人: Hendrik HONSEL

    摘要: A driver assistance system for an ego vehicle, and a method for a driver assistance system is provided. The system is configured to refine a coarse geolocation method based on the detection of the static features located in the vicinity of the ego vehicle. The system performs at least one measurement of the visual appearance of each of at least one static feature located in the vicinity of the ego vehicle. Using the at least one measurement, a position of the ego vehicle relative to the static feature is calculated. The real world position of the static feature is identified. The position of the ego vehicle relative to the static feature is calculated, which is, in turn, used to calculate a static feature measurement of the vehicle location. The coarse geolocation measurement and the static feature measurement are combined to form a fine geolocation position. By combining the measurements, a more accurate location of the ego vehicle can be determined.

    VEHICLE SYSTEM FOR DETECTION OF ONCOMING VEHICLES

    公开(公告)号:US20220348209A1

    公开(公告)日:2022-11-03

    申请号:US17861632

    申请日:2022-07-11

    IPC分类号: B60W40/04

    摘要: A vehicle environment detection system in an ego vehicle, including a sensor arrangement and a main control unit is arranged to detect and track at least one oncoming vehicle, and to determine whether the ego vehicle has entered a curve. The main control unit is arranged to determine a common curve with a radius, along which common curve the ego vehicle is assumed to travel, determine a measured oncome direction of the oncoming vehicle on the common curve, corresponding to an oncome angle, determine a difference angle between the measured oncome direction and an oncome direction corresponding to if the oncoming vehicle would be moving along the common curve, compare the difference angle with a threshold angle, and to determine that the oncoming vehicle is crossing if the difference angle exceeds the threshold angle.

    Vehicle positioning based on wireless signal transmission

    公开(公告)号:US12055649B2

    公开(公告)日:2024-08-06

    申请号:US17293207

    申请日:2019-11-12

    IPC分类号: G01S5/02

    CPC分类号: G01S5/0273

    摘要: A method for estimating a position of a vehicle (100) relative to one or more radio transceivers (150). The method including the steps of; obtaining propagation delay data associated with radio transmission between a vehicle transceiver (110) included in the vehicle (100) and the one or more radio transceivers (150); obtaining vehicle motion data related to a trajectory of the vehicle (100); identifying one or more multipath components, MPC, in the propagation delay data, the MPC relates to a radio transmission propagation path between a fixed radio transceiver (150) and the vehicle transceiver (110); determining an MPC track for each identified MPC based on the vehicle motion data and on the propagation delay data, MPC track representing evolution of an MPC over time; and estimating the position of the vehicle (100) relative to the one or more radio transceivers (150) based on the MPC tracks.

    IMAGE SENSOR WITH RED-CLEAR-CLEAR-GREEN (RCCG) COLOR FILTER ARRAY (CFA) FOR VEHICLE SENSING APPLICATIONS

    公开(公告)号:US20240089618A1

    公开(公告)日:2024-03-14

    申请号:US17930596

    申请日:2022-09-08

    IPC分类号: H04N9/04 H04N9/64

    摘要: 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.

    Driver assistance system and method

    公开(公告)号:US12123722B2

    公开(公告)日:2024-10-22

    申请号:US17976477

    申请日:2022-10-28

    发明人: Hendrik Honsel

    摘要: A driver assistance system for an ego vehicle, and a method for a driver assistance system is provided. The system is configured to refine a coarse geolocation method based on the detection of the static features located in the vicinity of the ego vehicle. The system performs at least one measurement of the visual appearance of each of at least one static feature located in the vicinity of the ego vehicle. Using the at least one measurement, a position of the ego vehicle relative to the static feature is calculated. The real world position of the static feature is identified. The position of the ego vehicle relative to the static feature is calculated, which is, in turn, used to calculate a static feature measurement of the vehicle location. The coarse geolocation measurement and the static feature measurement are combined to form a fine geolocation position. By combining the measurements, a more accurate location of the ego vehicle can be determined.