公开(公告)号：US20210389769A1

公开(公告)日：2021-12-16

申请号：US16898308

申请日：2020-06-10

Applicant: NVIDIA Corp.

Inventor： Siva Kumar Sastry Hari ,  Iuri Frosio ,  Zahra Ghodsi ,  Anima Anandkumar ,  Timothy Tsai ,  Stephen W. Keckler ,  Alejandro Troccoli

IPC: G05D1/02 ,  G01S13/931 ,  G05D1/00 ,  B60W60/00 ,  G05B13/02

Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

公开(公告)号：US20210387643A1

公开(公告)日：2021-12-16

申请号：US16898379

申请日：2020-06-10

Applicant: NVIDIA Corp.

Inventor： Siva Kumar Sastry Hari ,  Iuri Frosio ,  Zahra Ghodsi ,  Anima Anandkumar ,  Timothy Tsai ,  Stephen W. Keckler

IPC: B60W60/00 ,  B60W30/09 ,  B60W30/095

Abstract: Techniques to characterize driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. The scenarios may be characterized using a tree-based or tensor-based approach.

公开(公告)号：US20230079196A1

公开(公告)日：2023-03-16

申请号：US18057079

申请日：2022-11-18

Applicant: NVIDIA Corp.

Inventor： Siva Kumar Sastry Hari ,  Iuri Frosio ,  Zahra Ghodsi ,  Anima Anandkumar ,  Timothy Tsai ,  Stephen W. Keckler ,  Alejandro Troccoli

IPC: G05D1/02 ,  G01S13/931 ,  G05D1/00 ,  B60W60/00 ,  G05B13/02

Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

公开(公告)号：US11550325B2

公开(公告)日：2023-01-10

申请号：US16898308

申请日：2020-06-10

Applicant: NVIDIA Corp.

Inventor： Siva Kumar Sastry Hari ,  Iuri Frosio ,  Zahra Ghodsi ,  Anima Anandkumar ,  Timothy Tsai ,  Stephen W. Keckler ,  Alejandro Troccoli

IPC: G05D1/02 ,  G01S13/931 ,  G05D1/00 ,  B60W60/00 ,  G05B13/02

Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

公开(公告)号：US11977386B2

公开(公告)日：2024-05-07

申请号：US18057079

申请日：2022-11-18

Applicant: NVIDIA Corp.

Inventor： Siva Kumar Sastry Hari ,  Iuri Frosio ,  Zahra Ghodsi ,  Anima Anandkumar ,  Timothy Tsai ,  Stephen W. Keckler ,  Alejandro Troccoli

IPC: G05D1/00 ,  B60W60/00 ,  G01S13/931 ,  G05B13/02

CPC classification number: G05D1/0214 ,  B60W60/0015 ,  G01S13/931 ,  G05B13/027 ,  G05D1/0088 ,  B60W2554/4046 ,  B60W2710/20 ,  B60W2720/106 ,  B60W2720/125

Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

公开(公告)号：US20220261650A1

公开(公告)日：2022-08-18

申请号：US17346100

申请日：2021-06-11

Applicant: NVIDIA Corp.

Inventor： Jiawei Zhao ,  Steve Haihang Dai ,  Rangharajan Venkatesan ,  Ming-Yu Liu ,  William James Dally ,  Anima Anandkumar

IPC: G06N3/08 ,  G06F7/483 ,  G06F7/487 ,  G06F5/01 ,  G06F1/03

Abstract: An end-to-end low-precision training system based on a multi-base logarithmic number system and a multiplicative weight update algorithm. The multi-base logarithmic number system is applied to update weights of the neural network, with different bases of the multi-base logarithmic number system utilized between calculation of weight updates, calculation of feed-forward signals, and calculation of feedback signals. The LNS expresses a high dynamic range and computational energy efficiency, making it advantageous for on-board training in energy-constrained edge devices.