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    SYSTEMS AND METHODS FOR USING IMAGE DATA TO ANALYZE AN IMAGE
    1.
    发明公开
    SYSTEMS AND METHODS FOR USING IMAGE DATA TO ANALYZE AN IMAGE 审中-公开

    公开(公告)号：US20240101146A1

    公开(公告)日：2024-03-28

    申请号：US18303449

    申请日：2023-04-19

    Applicant: TORC Robotics, Inc.

    Inventor： Ryan CHILTON ,  Harish PULLAGURLA ,  Joseph STAMENKOVICH

    IPC: B60W60/00 ,  G06V10/774 ,  G06V20/56

    CPC classification number: B60W60/001 ,  G06V10/774 ,  G06V20/588 ,  B60W2300/14 ,  B60W2552/53 ,  B60W2556/40

    Abstract: Systems and methods for training and executing machine learning models to generate lane index values are disclosed. A method includes identifying a set of image data captured by at least one autonomous vehicle when the at least autonomous vehicle is positioned in a lane of a roadway and respective ground truth localization data; determining a plurality of lane index values for the set of image data based on the ground truth localization data; labeling the set of image data with the plurality of lane index values, the lane index values representing a number of lanes from a leftmost or rightmost lane to the lane in which the at least one autonomous vehicle was positioned; and training, using the labeled set of image data, a plurality of machine learning models that generate a left lane index value and a right lane index value as output.

    PREDICTION OF ROAD GRADE FOR AUTONOMOUS VEHICLE NAVIGATION
    2.
    发明申请
    PREDICTION OF ROAD GRADE FOR AUTONOMOUS VEHICLE NAVIGATION 有权

    公开(公告)号：US20250018953A1

    公开(公告)日：2025-01-16

    申请号：US18222384

    申请日：2023-07-14

    Applicant: TORC Robotics, Inc.

    Inventor： Harish PULLAGURLA ,  Zachary MILLER ,  Andrew CUNNINGHAM

    IPC: B60W40/076 ,  B60W60/00

    Abstract: Systems and methods of predicting a grade of a road upon which a vehicle is traveling are disclosed. An autonomous vehicle system can receive sensor data from a sensor measuring a response from at least one mechanical component of the autonomous vehicle as the autonomous vehicle navigates a road; detect a speed of the autonomous vehicle; determine a predicted grade of the road based on the sensor data and the speed; and navigate the autonomous vehicle based on the predicted grade of the road.

    AUTONOMOUS VEHICLE TRAFFIC CONTROL AT HUBS
    4.
    发明申请
    AUTONOMOUS VEHICLE TRAFFIC CONTROL AT HUBS 有权

    公开(公告)号：US20250054389A1

    公开(公告)日：2025-02-13

    申请号：US18448848

    申请日：2023-08-11

    Applicant: TORC Robotics, Inc.

    Inventor： Harish PULLAGURLA ,  Omid KARIMPOUR ,  Himanshu SARDESAI

    IPC: G08G1/0967 ,  G08G1/01

    Abstract: Systems and methods of automatic correction of map data for autonomous vehicle navigation are disclosed. One or more servers can receive an indication of a traffic condition at an autonomous vehicle hub; upon receiving the indication of the traffic condition at the autonomous vehicle hub, identify an autonomous vehicle traveling a route that includes the autonomous vehicle hub; generate a control command for the autonomous vehicle based on the route and the traffic condition; and transmit the control command to the autonomous vehicle to correct the traffic condition at the autonomous vehicle hub.

    WORLD MODEL GENERATION AND CORRECTION FOR AUTONOMOUS VEHICLES
    5.
    发明申请
    WORLD MODEL GENERATION AND CORRECTION FOR AUTONOMOUS VEHICLES 有权

    公开(公告)号：US20250003766A1

    公开(公告)日：2025-01-02

    申请号：US18342499

    申请日：2023-06-27

    Applicant: TORC Robotics, Inc.

    Inventor： Harish PULLAGURLA ,  Ryan CHILTON ,  Harish KARUNAKARAN

    IPC: G01C21/00 ,  B60W60/00

    Abstract: Systems and methods of generating and updating a world model for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive sensor data from a plurality of sensors of an autonomous vehicle, where the sensor data is captured during operation of the autonomous vehicle; access a world model generated based at least on map information corresponding to a location of the operation of the autonomous vehicle; determine at least one semantic correction for the world model based on the sensor data; determine at least one geometric correction for the world model based on the sensor data and the map information; and generate an updated world model based on the at least one semantic correction and the at least one geometric correction.

    LOCALIZING VEHICLES USING RETROREFLECTIVE SURFACES
    6.
    发明申请
    LOCALIZING VEHICLES USING RETROREFLECTIVE SURFACES 有权

    公开(公告)号：US20250052581A1

    公开(公告)日：2025-02-13

    申请号：US18448846

    申请日：2023-08-11

    Applicant: TORC Robotics, Inc.

    Inventor： Wade FOSTER ,  Ryan CHILTON ,  Karan Vivek BHARGAVA ,  Harish PULLAGURLA ,  Zachary MILLER ,  Gowtham Raj Gunaseela UDAYAKUMAR ,  Jason HARPER

    IPC: G01C21/30 ,  B60W50/00 ,  B60W60/00

    Abstract: A method comprises receiving a first set of data associated with a plurality of retroreflective features from a vehicle; retrieving a digital map comprising vectorized data associated with the plurality of retroreflective features and a location associated with the plurality of retroreflective features, the map previously generated based on monitoring a second set of data retrieved from a sensor of a second vehicle where the second set of data is associated with the plurality of retroreflective features near a road being driven by the second vehicle; generating a score for each retroreflective feature indicating a match between each retroreflective feature as indicated within the digital map and a location of each retroreflective feature as identified within the first set of data; and localizing the vehicle.

    SYSTEMS AND METHODS FOR USING IMAGE DATA TO ANALYZE AN IMAGE
    8.
    发明公开
    SYSTEMS AND METHODS FOR USING IMAGE DATA TO ANALYZE AN IMAGE 审中-公开

    公开(公告)号：US20240104938A1

    公开(公告)日：2024-03-28

    申请号：US18303456

    申请日：2023-04-19

    Applicant: TORC Robotics, Inc.

    Inventor： Ryan CHILTON ,  Harish PULLAGURLA ,  Joseph STAMENKOVICH

    IPC: G06V20/56 ,  G01S19/47 ,  G06V10/774

    CPC classification number: G06V20/588 ,  G01S19/47 ,  G06V10/774

    Abstract: Systems and methods for training and executing machine learning models to generate lane index values are disclosed. A method includes identifying a set of image data captured by at least one autonomous vehicle when the at least autonomous vehicle is positioned in a lane of a roadway and respective ground truth localization data; determining a plurality of lane index values for the set of image data based on the ground truth localization data; labeling the set of image data with the plurality of lane index values, the lane index values representing a number of lanes from a leftmost or rightmost lane to the lane in which the at least one autonomous vehicle was positioned; and training, using the labeled set of image data, a plurality of machine learning models that generate a left lane index value and a right lane index value as output.

    WORLD MODEL GENERATION AND CORRECTION FOR AUTONOMOUS VEHICLES
    10.
    发明申请
    WORLD MODEL GENERATION AND CORRECTION FOR AUTONOMOUS VEHICLES 有权

    公开(公告)号：US20250003768A1

    公开(公告)日：2025-01-02

    申请号：US18342400

    申请日：2023-06-27

    Applicant: TORC Robotics, Inc.

    Inventor： Harish PULLAGURLA ,  Ryan CHILTON ,  Harish KARUNAKARAN

    IPC: G01C21/00 ,  B60W60/00

    Abstract: Systems and methods of generating and updating a world model for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive sensor data from a plurality of sensors of an autonomous vehicle, where the sensor data is captured during operation of the autonomous vehicle; access a world model generated based at least on map information corresponding to a location of the operation of the autonomous vehicle; determine at least one semantic correction for the world model based on the sensor data; determine at least one geometric correction for the world model based on the sensor data and the map information; and generate an updated world model based on the at least one semantic correction and the at least one geometric correction.

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