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公开(公告)号：US12131503B1
公开(公告)日：2024-10-29
申请号：US17557923
申请日：2021-12-21
发明人： Alex Harvill , Allen Hemberger , Michael Fu
CPC分类号： G06T7/80 , G06T15/04 , G06T15/08 , G06T15/506 , G06T15/80 , G06T17/20 , G06T2207/20048
摘要： 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.
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公开(公告)号：US12130363B2
公开(公告)日：2024-10-29
申请号：US17592286
申请日：2022-02-03
IPC分类号： G01S17/931 , G01S7/481 , G01S17/42
CPC分类号： G01S17/931 , G01S7/4817 , G01S17/42
摘要： 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.
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3.发明授权公开(公告)号：US12106435B2
公开(公告)日：2024-10-01
申请号：US18345431
申请日：2023-06-30
IPC分类号： G06T15/60 , G01S17/89 , G01S17/931 , G05D1/00 , G06N20/00 , G06T15/06 , G06T17/05 , G07C5/02
CPC分类号： G06T17/05 , G01S17/89 , G01S17/931 , G05D1/0231 , G06N20/00 , G06T15/06 , G07C5/02
摘要： 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.
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4.发明公开公开(公告)号：US20240310838A1
公开(公告)日：2024-09-19
申请号：US18657324
申请日：2024-05-07
发明人： Mark Calleija
IPC分类号： 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分类号： 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
摘要： 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.
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公开(公告)号：US20240294190A1
公开(公告)日：2024-09-05
申请号：US18645701
申请日：2024-04-25
CPC分类号： B60W60/0015 , G06Q50/40 , H04L9/3247 , H04L63/102 , H04W4/46 , B60W2556/20 , G06Q2220/00 , G06Q2240/00 , H04L2209/84
摘要： 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.
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公开(公告)号：US12073725B2
公开(公告)日：2024-08-27
申请号：US16018536
申请日：2018-06-26
CPC分类号： G08G1/202 , G05D1/0027 , G05D1/0088 , G05D1/0297 , G07C5/008 , G08G1/127 , H04W4/029
摘要： 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.
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公开(公告)号：US12066548B2
公开(公告)日：2024-08-20
申请号：US17674537
申请日：2022-02-17
发明人： Zeb Barber , Stephen Crouch , Emil Kadlec
IPC分类号： G01S17/931 , G01S7/481 , G01S7/4912 , G01S17/34 , G05D1/00
CPC分类号： G01S17/931 , G01S7/4814 , G01S7/4912 , G01S17/34 , G05D1/0088 , G05D1/0223
摘要： A light detection and ranging (LIDAR) system for a vehicle, includes a laser source configured to generate light signals, a transceiver, and a fiber array coupled to the transceiver and including a plurality of output channels. The transceiver is configured to receive one or more light signals from the laser source through a first group of output channels of the fiber array, receive one or more local oscillator (LO) signals through a second group of output channels of the fiber array, transmit the one or more light signals into an environment of the vehicle, receive a first returned light reflected from one or more objects in the environment, and output the first returned light and a first LO signal of the one or more LO signals.
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公开(公告)号：US20240270260A1
公开(公告)日：2024-08-15
申请号：US18626023
申请日：2024-04-03
CPC分类号： B60W50/0097 , G06N3/04 , B60W2050/0028 , B60W2554/4041 , B60W2554/4042 , B60W2554/4043 , B60W2554/801 , B60W2554/802
摘要： Systems and methods for predicting interactions between objects and predicting a trajectory of an object are presented herein. A system can obtain object data associated with a first object and a second object. The object data can have position data and velocity data for the first object and the second object. Additionally, the system can process the obtained object data to generate a hybrid graph using a graph generator. The hybrid graph can have a first node indicative of the first object and a second node indicative of the second object. Moreover, the system can process, using an interaction prediction model, the generated hybrid graph to predict an interaction type between the first node and the second node. Furthermore, the system can process, using a graph neural network model, the predicted interaction type between the first node and the second node to predict a trajectory of the first object.
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公开(公告)号：US12061482B2
公开(公告)日：2024-08-13
申请号：US17972870
申请日：2022-10-25
IPC分类号： G05D1/00 , B60W30/18 , B60W40/105 , G06V20/56
CPC分类号： G05D1/0223 , B60W30/18036 , B60W40/105 , G05D1/0088 , G06V20/56 , B60W2554/00
摘要： An autonomous vehicle includes a control system, an array of sensors, processing logic, and a switch. The processing logic generates operation instructions based on sensor data and the control system controls the autonomous vehicle based on the operation instructions. The array of sensors generate the sensor data that is related to objects in an external environment. The switch is coupled between the sensors and the processing logic to buffer the processing logic from the sensor data. The switch is further coupled between the processing logic and the control system to provide the operation instructions from the processing logic to the control system. The switch includes a prioritization engine that prioritizes an order of transmission, from the switch to the processing logic, of the first sensor data over the second sensor data based on received vehicle operation data.
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公开(公告)号：US12056209B2
公开(公告)日：2024-08-06
申请号：US18365910
申请日：2023-08-04
IPC分类号： G06F18/214
CPC分类号： G06F18/214
摘要： A method and system for synthetic data generation and analysis includes generating a synthetic dataset. A set of parameters is determined and scenarios are generated from the parameters that represent three-dimensional scenes. Synthetic images are rendered for the scenarios. A synthetic dataset may be formed to have a controlled variation in attributes of synthetic images over a synthetic dataset. The synthetic dataset may be used for training or evaluating a machine learning model.
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