公开(公告)号：US20240393466A1

公开(公告)日：2024-11-28

申请号：US18191621

申请日：2023-03-28

Applicant: Aurora Operations, Inc.

Inventor： James Ferrara ,  Amir Hosseini ,  Sen Lin ,  Zhizhong Tang

IPC: G01S17/931 ,  B60W60/00 ,  G01S7/481

Abstract: A LIDAR system includes a substrate and an emitter coupled to the substrate and configured to emit a light beam along a first axis of the substrate. The LIDAR system includes an optic device coupled to the substrate and configured to split the light beam into a plurality of light beams. The LIDAR system includes an optical amplifier array coupled to the substrate and configured to amplify the plurality of light beams received from the optic device to generate a plurality of amplified light beams. The LIDAR system includes a transceiver coupled to the substrate and configured to redirect the plurality of amplified light beams from traveling along the first axis of the substrate to traveling along a second axis of the substrate that is different from the first axis.

公开(公告)号：US12141995B2

公开(公告)日：2024-11-12

申请号：US17388372

申请日：2021-07-29

Applicant: Aurora Operations, Inc.

Inventor： Ming Liang ,  Wei-Chiu Ma ,  Sivabalan Manivasagam ,  Raquel Urtasun ,  Bin Yang ,  Ze Yang

IPC: G06K9/00 ,  G06N20/00 ,  G06T7/70 ,  G06T17/20 ,  G06V40/20

Abstract: Systems and methods for generating simulation data based on real-world dynamic objects are provided. A method includes obtaining two- and three-dimensional data descriptive of a dynamic object in the real world. The two- and three-dimensional information can be provided as an input to a machine-learned model to receive object model parameters descriptive of a pose and shape modification with respect to a three-dimensional template object model. The parameters can represent a three-dimensional dynamic object model indicative of an object pose and an object shape for the dynamic object. The method can be repeated on sequential two- and three-dimensional information to generate a sequence of object model parameters over time. Portions of a sequence of parameters can be stored as simulation data descriptive of a simulated trajectory of a unique dynamic object. The parameters can be evaluated by an objective function to refine the parameters and train the machine-learned model.

公开(公告)号：US20240369709A1

公开(公告)日：2024-11-07

申请号：US18774717

申请日：2024-07-16

Applicant: Aurora Operations, Inc.

Inventor： Ashish Bhardwaj ,  Amir Hosseini

IPC: G01S17/58 ,  G01S17/931 ,  H01S5/024 ,  H01S5/065 ,  H01S5/343

Abstract: A LIDAR system comprising a seed laser configured to output a beam, a modulator coupled to receive the beam and modulate the beam to create a modulated beam, a photonics integrated circuit having an amplifier coupled to receive the modulated beam from the modulator and generate an amplified beam, the amplifier having an active layer for high power and a super lattice structure for thermal dissipation; and a transceiver chip coupled to the photonics integrated circuit, the transceiver chip configured to emit the amplified beam and receive a reflected beam from a target.

公开(公告)号：US12131503B1

公开(公告)日：2024-10-29

申请号：US17557923

申请日：2021-12-21

Applicant: Aurora Operations, Inc.

Inventor： Alex Harvill ,  Allen Hemberger ,  Michael Fu

IPC: G06T15/04 ,  G06T7/80 ,  G06T15/08 ,  G06T15/50 ,  G06T15/80 ,  G06T17/20

CPC classification number: G06T7/80 ,  G06T15/04 ,  G06T15/08 ,  G06T15/506 ,  G06T15/80 ,  G06T17/20 ,  G06T2207/20048

Abstract: Virtual creation and visualization of a physically based virtual material swatch includes identifying a capture device model to support for use in the generation of the virtual material swatch, determining camera response of the capture device model, determining lookup tables of linearly transformed cosines for a plurality of parameters of a shading model, identifying a sample physical material, and determining material description for the sample physical material. A system and method may also include scanning a user physical material, selecting one or more of material preset, geometry preset, environment preset, and camera preset, and creating a virtual material swatch for the user physical material based on the selections.

公开(公告)号：US12130363B2

公开(公告)日：2024-10-29

申请号：US17592286

申请日：2022-02-03

Applicant: Aurora Operations, Inc.

Inventor： Nicholas Anthony Buoniconti, IV ,  Yonggang Ha ,  Zhongjie Li ,  Cal Alden Smith

IPC: G01S17/931 ,  G01S7/481 ,  G01S17/42

CPC classification number: G01S17/931 ,  G01S7/4817 ,  G01S17/42

Abstract: A light detection and ranging (LIDAR) system includes a laser source and a polygon scanner. The laser source is configured to generate a first beam. The polygon scanner includes a frame and a plurality of mirrors coupled to the frame, each mirror comprising a glass material.

公开(公告)号：US12128961B2

公开(公告)日：2024-10-29

申请号：US17724902

申请日：2022-04-20

Applicant: Aurora Operations, Inc.

Inventor： Philipp Haban ,  Daniel Adam Kanitz

IPC: B62D33/08 ,  B60Q1/28 ,  B62D35/00 ,  G05D1/00

CPC classification number: B62D33/08 ,  B60Q1/28 ,  B62D35/001 ,  B62D35/005 ,  G05D1/021

Abstract: In one example embodiment, a computer-implemented method for autonomous vehicle control includes determining whether a cargo container is attached to the vehicle base. The method includes controlling a front shield associated with an autonomous vehicle to move from a closed position to an opened position when a cargo container is determined to be attached to a vehicle base associated with the autonomous vehicle. The method includes controlling the front shield to move from the opened position to the closed position when the cargo container is not attached to the vehicle base.

公开(公告)号：US12106435B2

公开(公告)日：2024-10-01

申请号：US18345431

申请日：2023-06-30

Applicant: Aurora Operations, Inc.

Inventor： Sivabalan Manivasagam ,  Shenlong Wang ,  Wei-Chiu Ma ,  Raquel Urtasun

IPC: G06T15/60 ,  G01S17/89 ,  G01S17/931 ,  G05D1/00 ,  G06N20/00 ,  G06T15/06 ,  G06T17/05 ,  G07C5/02

CPC classification number: G06T17/05 ,  G01S17/89 ,  G01S17/931 ,  G05D1/0231 ,  G06N20/00 ,  G06T15/06 ,  G07C5/02

Abstract: The present disclosure provides systems and methods that combine physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics a real-world LiDAR sensor system. In particular, aspects of the present disclosure combine physics-based rendering with machine-learned models such as deep neural networks to simulate both the geometry and intensity of the LiDAR sensor. As one example, a physics-based ray casting approach can be used on a three-dimensional map of an environment to generate an initial three-dimensional point cloud that mimics LiDAR data. According to an aspect of the present disclosure, a machine-learned geometry model can predict one or more adjusted depths for one or more of the points in the initial three-dimensional point cloud, thereby generating an adjusted three-dimensional point cloud which more realistically simulates real-world LiDAR data.

公开(公告)号：US20240310838A1

公开(公告)日：2024-09-19

申请号：US18657324

申请日：2024-05-07

Applicant: Aurora Operations, Inc.

Inventor： Mark Calleija

IPC: G05D1/00 ,  G05D1/249 ,  G06F18/25 ,  G06T3/4038 ,  G06T7/73 ,  G06V10/25 ,  G06V10/80 ,  G06V10/98 ,  G06V20/56 ,  G06V20/58 ,  G08G1/01 ,  G08G1/015 ,  G08G1/04 ,  H04N23/56 ,  H04N23/695

CPC classification number: G05D1/0246 ,  G05D1/249 ,  G06F18/251 ,  G06T3/4038 ,  G06V10/25 ,  G06V10/80 ,  G06V10/98 ,  G06V20/58 ,  G06V20/582 ,  G06V20/588 ,  G08G1/0112 ,  G08G1/015 ,  G08G1/04 ,  H04N23/695 ,  G06T7/73 ,  G06T2207/10028 ,  G06T2207/20076 ,  G06T2207/20221 ,  G06T2207/30241 ,  G06T2207/30256 ,  H04N23/56

Abstract: Disclosed are methods, systems, and non-transitory computer readable media that control an autonomous vehicle via at least two sensors. One aspect includes capturing an image of a scene ahead of the vehicle with a first sensor, identifying an object in the scene at a confidence level based on the image, determining the confidence level of the identifying is below a threshold, in response to the confidence level being below the threshold, directing a second sensor having a field of view smaller than the first sensor to generate a second image including a location of the identified object, further identifying the object in the scene based on the second image, controlling the vehicle based on the further identification of the object.

公开(公告)号：US20240294190A1

公开(公告)日：2024-09-05

申请号：US18645701

申请日：2024-04-25

Applicant: Aurora Operations, Inc.

Inventor： Michael David Sorensen ,  Matthew Charles Ellis Wood ,  Matthew James Harris

IPC: B60W60/00 ,  G06Q50/40 ,  H04L9/32 ,  H04L9/40 ,  H04W4/46

CPC classification number: B60W60/0015 ,  G06Q50/40 ,  H04L9/3247 ,  H04L63/102 ,  H04W4/46 ,  B60W2556/20 ,  G06Q2220/00 ,  G06Q2240/00 ,  H04L2209/84

Abstract: Systems and methods for servicing vehicle messages utilizing a common communications infrastructure are provided. A method includes obtaining, by a vehicle computing system onboard an autonomous vehicle, a message including a cryptographic signature and contextual information, a request, or a command. The method includes determining an originating sender associated with the message based on the cryptographic signature and determining a message privilege for the message based on the originating sender. The originating sender is a process that generated the message. The method includes determining a response for the contextual information, the request, or the command based on the message privilege. The response is indicative of an acceptance or rejection of contextual information, an assignment of computing resources to a request, or an acceptance or rejection of a command. The method includes performing a vehicle action based on the response.

公开(公告)号：US12073725B2

公开(公告)日：2024-08-27

申请号：US16018536

申请日：2018-06-26

Applicant: Aurora Operations, Inc.

Inventor： Alden James Woodrow ,  Alan Hugh Wells ,  Maxwell Macgavin Pike

IPC: G08G1/00 ,  G05D1/00 ,  G07C5/00 ,  G08G1/127 ,  H04W4/029

CPC classification number: G08G1/202 ,  G05D1/0027 ,  G05D1/0088 ,  G05D1/0297 ,  G07C5/008 ,  G08G1/127 ,  H04W4/029

Abstract: In one example embodiment, a computer-implemented method for coordinating an arrival of an asset at a location includes identifying one or more assets arriving at a transfer hub, based at least in part on one or more attributes associated with the one or more assets. The method includes determining an arrival time for the one or more assets, based at least in part on an available capacity associated with the transfer hub for receiving the one or more assets. The method includes controlling the one or more assets to arrive at the determined arrival time.