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1.
公开(公告)号:US20240190470A1
公开(公告)日:2024-06-13
申请号:US18065417
申请日:2022-12-13
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
IPC: B60W60/00 , G06T7/20 , G06V10/764 , G06V10/80 , G06V20/58
CPC classification number: B60W60/0015 , G06T7/20 , G06V10/764 , G06V10/803 , G06V20/58 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B60W2420/62 , G06T2207/30241 , G06T2207/30261 , G06V2201/08
Abstract: This disclosure provides systems and methods for controlling a vehicle based on a combination of high precision detection and high recall detection. The disclosed systems and methods can efficiently generate trajectories by reducing duplicate detection or duplicate calculation of objects or obstacles of common and known object types and objects or obstacles without class identification.
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公开(公告)号:US20230401680A1
公开(公告)日:2023-12-14
申请号:US17806804
申请日:2022-06-14
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , David Peng
CPC classification number: G06T5/006 , G06T7/75 , G06T2207/20024 , G06T2207/10028
Abstract: Systems and methods are provided for filtering atmospheric conditions from LiDAR point clouds. The method includes generating, using a LiDAR system, at least one point cloud, wherein the LiDAR system includes a processor. The method further includes, using the processor, identifying and isolating one or more ground points within a point cloud of the at least one point cloud, wherein the one or more ground points indicate a ground portion within an environment of the point cloud, filtering out the ground portion from the point cloud, generating an initial processed point cloud, identifying and isolating one or more atmospheric condition points within the initial processed point cloud, wherein the one or more atmospheric condition points indicate one or more atmospheric conditions within an environment of the processed point cloud, and filtering out the atmospheric condition points from the initial processed point cloud, generating a final processed point cloud.
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3.
公开(公告)号:US20240190467A1
公开(公告)日:2024-06-13
申请号:US18065421
申请日:2022-12-13
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
IPC: B60W60/00 , B60W30/09 , B60W30/095 , B60W40/04
CPC classification number: B60W60/0011 , B60W30/09 , B60W30/0956 , B60W40/04 , B60W60/0015 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B60W2554/4044 , B60W2554/4045 , B60W2556/25
Abstract: This disclosure provides systems and methods for controlling a vehicle. The method comprises receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; determining attributes of each of the objects or obstacles based on the received data from the set of sensors; integrating the attributes of the each of the objects or obstacles; identifying objects or obstacles based on the integrated attributes; determining a candidate trajectory for the autonomous vehicle to avoid the objects or obstacles; and controlling the autonomous vehicle according to the candidate trajectory.
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4.
公开(公告)号:US12258041B2
公开(公告)日:2025-03-25
申请号:US18065419
申请日:2022-12-13
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
Abstract: This disclosure provides systems and methods for controlling a vehicle. The method comprises receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; identifying objects or obstacles from the received data; determining multiple sets of attributes of the objects or obstacles, wherein each set of attributes of the objects or obstacles are determined based on data received by an individual sensor; determining a candidate trajectory for the autonomous vehicle based on the multiple sets of attributes of the objects or obstacles; and controlling the autonomous vehicle according to the candidate trajectory.
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5.
公开(公告)号:US20240190466A1
公开(公告)日:2024-06-13
申请号:US18065419
申请日:2022-12-13
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
CPC classification number: B60W60/0011 , G01S13/862 , G01S13/865 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B60W2420/62
Abstract: This disclosure provides systems and methods for controlling a vehicle. The method comprises receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; identifying objects or obstacles from the received data; determining multiple sets of attributes of the objects or obstacles, wherein each set of attributes of the objects or obstacles are determined based on data received by an individual sensor; determining a candidate trajectory for the autonomous vehicle based on the multiple sets of attributes of the objects or obstacles; and controlling the autonomous vehicle according to the candidate trajectory.
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6.
公开(公告)号:US20240190424A1
公开(公告)日:2024-06-13
申请号:US18147906
申请日:2022-12-29
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
IPC: B60W30/095 , B60W50/06 , B60W60/00
CPC classification number: B60W30/0956 , B60W50/06 , B60W60/001 , B60W30/09
Abstract: This disclosure provides systems and methods for detecting and tracking objects or obstacles in an environment of an autonomous vehicle. The method may include receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; and using a processor: generating high precision detection data based on the received data; identifying, from the high precision detection data, a set of objects that are classifiable by at least one known classifier; generating high recall detection data based on the received data; identifying from the high recall detection data a set of obstacles; and performing an operation on the high precision detection data of the objects and the high recall detection data of the obstacles, based on a status of the autonomous vehicle or based on one or more characteristics of the objects or the obstacles.
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公开(公告)号:US20240190463A1
公开(公告)日:2024-06-13
申请号:US18179097
申请日:2023-03-06
Applicant: Kodiak Robotics, Inc.
Inventor: Derek J. Phillips , Collin C. Otis , Andreas Wendel , Jackson P. Rusch
CPC classification number: B60W60/001 , B60W30/09 , B60W40/02 , B60W2420/00 , B60W2554/00 , B60W2556/25
Abstract: This disclosure provides systems and methods for path planning by a planner of an autonomous vehicle. The method may include receiving by the planner perception data from a perception module, wherein the perception data comprises tracking or predicted object data associated with objects or obstacles in an environment of the autonomous vehicle, and wherein the tracking or predicted object data are determined based on high recall detection data and high precision detection data, generating by the planner a trajectory for controlling the autonomous vehicle based on the perception data received from the perception module, and transmitting to a controller of the autonomous vehicle the trajectory such that the autonomous vehicle is navigated by the controller to a destination.
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8.
公开(公告)号:US20240185612A1
公开(公告)日:2024-06-06
申请号:US18062228
申请日:2022-12-06
Applicant: Kodiak Robotics, Inc.
Inventor: Ryan T. Lee , Derek J. Phillips , Collin C. Otis
IPC: G06V20/58 , G06V10/762 , G06V10/82
CPC classification number: G06V20/58 , G06V10/762 , G06V10/82
Abstract: This disclosure provides methods and systems for dynamically detecting and tracking objects in an environment of an autonomous vehicle. In some embodiments, the method comprises: receiving image data from sensors of the autonomous vehicle, the image data comprising a plurality of images representative of objects in a field of view of the autonomous vehicle; detecting the objects in the plurality of images through an object detector; generating image embeddings for the objects detected in the plurality of images; determining similarity scores of the image embeddings of the objects that are detected in images received from two or more different sensors; identifying the objects that are detected in the images received from the two or more different sensors as a candidate object for tracking, if the objects have a similarity score of the image embeddings equal to or greater than a threshold value; and initializing a track for the candidate object.
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