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.

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.

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

IPC: B60W60/00 ,  B60W30/09 ,  B60W40/02

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.

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

IPC: B60W60/00 ,  G01S13/86

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.

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

IPC: B60W60/00 ,  G01S13/86

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.

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.