公开(公告)号：US12093039B2

公开(公告)日：2024-09-17

申请号：US16796744

申请日：2020-02-20

申请人： KACHE.AI

发明人： Anthony Levandowski ,  Bernward Schwarte ,  Oscar Argueta

IPC分类号： G05D1/00 ,  G05D1/692 ,  G05D1/81 ,  G06N20/00 ,  G06T7/292 ,  G06T7/593 ,  G06T7/80 ,  H04N13/246

CPC分类号： G05D1/0088 ,  G05D1/0287 ,  G05D1/692 ,  G05D1/81 ,  G06N20/00 ,  G06T7/292 ,  G06T7/593 ,  G06T7/80 ,  G06T7/85 ,  H04N13/246 ,  G06T2207/10012

摘要： Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data is obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques are employed such that the autonomous and semi-autonomous control of a vehicle changes between lane follow and vehicle follow modes. Further, a vehicle may determine whether to continue to follow a vehicle after the followed vehicle moves in relation to the following vehicle.

公开(公告)号：US11994861B2

公开(公告)日：2024-05-28

申请号：US16511968

申请日：2019-07-15

申请人： Kache.AI

发明人： Anthony Levandowski ,  Oscar Argueta ,  Jean-Marc Beaujour ,  Bernward Schwarte ,  Eli Riggs

IPC分类号： G05D1/00 ,  G05D1/02 ,  G06N20/00 ,  G06T7/292 ,  G06T7/593 ,  G06T7/80 ,  H04N13/246

CPC分类号： G05D1/0088 ,  G05D1/0287 ,  G06N20/00 ,  G06T7/292 ,  G06T7/593 ,  G06T7/80 ,  G06T7/85 ,  H04N13/246 ,  G05D2201/0213 ,  G06T2207/10012

摘要： Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

公开(公告)号：US20200019165A1

公开(公告)日：2020-01-16

申请号：US16511968

申请日：2019-07-15

申请人： Kache.AI

发明人： Anthony Levandowski ,  David Bernstein ,  Oscar Argueta

IPC分类号： G05D1/00 ,  G05D1/02 ,  G06N20/00

摘要： Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.