INFRASTRUCTURE-SUPPORTED PERCEPTION SYSTEM FOR CONNECTED VEHICLE APPLICATIONS

    公开(公告)号:US20240338793A1

    公开(公告)日:2024-10-10

    申请号:US18297870

    申请日:2023-04-10

    Abstract: An infrastructure-supported perception system for connected vehicle applications includes one or more infrastructure perception sensors that capture perception data having a reduced resolution and a reduced frame rate. The reduced resolution includes a reduced number of pixels for a given frame when compared to a standard resolution and the reduced frame rate captures data at a lower rate when compared to a standard frame rate. The infrastructure-supported perception system includes one or more controllers that are part of a connected vehicle. The controllers of the connected vehicle are in wireless communication with the one or more infrastructure perception sensors and one or more servers, and the one or more servers are in wireless communication with the one or more infrastructure perception sensors. The controllers receive dynamic information regarding one or more detected objects in an environment surrounding the connected vehicle from the one or more servers.

    OBJECTION DETECTION SYSTEM DEFINING A DYNAMIC REGION OF INTEREST

    公开(公告)号:US20240303955A1

    公开(公告)日:2024-09-12

    申请号:US18180351

    申请日:2023-03-08

    Inventor: Kamran Ali

    CPC classification number: G06V10/25 G01S13/89 G01S17/89 G06V20/58 G06V20/588

    Abstract: An objection detection system for a vehicle includes one or more range sensors and one or more controllers in communication with the one or more range sensors. The one or more controllers execute instructions to instruct the one or more range sensors to emit a signal. The one or more range sensors receive a reflected signal from the environment surrounding the vehicle. The one or more controllers determine a position of the detected object based on the reflected signal and compare the position of the detected object with a dynamic region of interest (ROI). The one or more controllers determine the position of the detected object is outside of the dynamic ROI. In response to determining the position of the detected object is outside the dynamic ROI, the one or more controllers disregard the detected object for purposes of scene building.

    Filtering and aggregating detection points of a radar point cloud for an autonomous vehicle

    公开(公告)号:US11977149B2

    公开(公告)日:2024-05-07

    申请号:US17511968

    申请日:2021-10-27

    CPC classification number: G01S13/89 B60W60/001 G01S7/298 G01S7/40 B60W2420/408

    Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

    Occupant detection system for a vehicle including a multi-band transceiver

    公开(公告)号:US11956046B2

    公开(公告)日:2024-04-09

    申请号:US17699715

    申请日:2022-03-21

    CPC classification number: H04B7/0626 B60W40/08 H04B1/005 B60W2040/0881

    Abstract: An occupant detection system for an interior cabin area of a vehicle includes one or more signal conversion devices including conversion circuitry and a wireless control module including a multi-band transceiver having two or more transceivers. The wireless control module executes instructions to continuously send, by a first transceiver, signals on a first frequency band. The wireless control module executes instructions to receive, by a second transceiver, signals on a second frequency band from a signal conversion device. The wireless control module compares original training symbols from the signals on the first frequency band with training symbols from the signals on the second frequency band to determine a change in value of in one or more channel state information (CSI) parameters, and determines one or more occupants are present within the interior cabin area of the vehicle based on the change in one or more CSI parameters.

    FILTERING AND AGGREGATING DETECTION POINTS OF A RADAR POINT CLOUD FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230126749A1

    公开(公告)日:2023-04-27

    申请号:US17511968

    申请日:2021-10-27

    Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

    Automated driving control systems and methods based on intersection complexity

    公开(公告)号:US11453417B2

    公开(公告)日:2022-09-27

    申请号:US17110788

    申请日:2020-12-03

    Abstract: An intersection navigation system includes: a complexity module configured to determine a complexity value for an intersection of two or more roads, where the complexity value for the intersection corresponds to a level of complexity for a vehicle to navigate the intersection during autonomous driving; and a driving control module configured to: during autonomous driving of a vehicle, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration of the vehicle; and based on the complexity value of the intersection, selectively adjust at least one aspect of the autonomous driving.

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