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公开(公告)号：US12195031B2
公开(公告)日：2025-01-14
申请号：US17654247
申请日：2022-03-10
Applicant: Argo AI, LLC
Inventor： Kevin Swanson , Christopher Attard , Matthew Puchalski , Daniel Swartz
Abstract: Disclosed herein are systems, methods, and computer program products for controlling data collection by resources. The methods comprise: receiving real-world data collected by the resources in accordance with data collection mission (DCM) parameters; receiving user defined DCM goal(s); updating goal(s) for DCM mission(s) based on the real-world data and the user defined DCM goal(s); modifying the data DCM parameter(s) based on the updated goal(s) and which ones of the resources are still available for DCMs; and causing data collection operations (which are currently being performed by the resource(s)) to change in accordance with the modified DCM parameter(s).
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2.发明申请公开(公告)号：US20250013504A1
公开(公告)日：2025-01-09
申请号：US18348135
申请日：2023-07-06
Applicant: Argo AI, LLC
Inventor： Marin Misur
Abstract: Disclosed herein are system, method, and computer program product embodiments for autoscaling parameters of a computing environment. The methods include receiving a system metric that relates to usage of a computing resource associated with an application executed within the computing environment, and determining whether the system metric is within a desired operating range. When the system metric is determined to be not within the desired operating range, the methods also include determining a scaling rule for autoscaling one or more parameters of the computing environment based on a number of currently utilized computing resources, and autoscaling the one or more parameters of the computing environment to bring the system metric within the desired operating range.
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公开(公告)号：US12151689B2
公开(公告)日：2024-11-26
申请号：US17498166
申请日：2021-10-11
Applicant: Argo AI, LLC
Inventor： Schuyler Burson
Abstract: Systems may include a processor to, in response to determining at least one segment of a field of view (FOV) of a first sensor of an autonomous vehicle that overlaps with a FOV of at least one second sensor of the autonomous vehicle, calculate a scaling factor for diagnostic coverage for the at least one segment based on a value of modality overlap (MoD) for the at least one segment, calculate, based on the scaling factor, a value of a metric of hardware failure for the first sensor, and compare the value of the metric of hardware failure to a threshold value to determine whether to increase a diagnostic coverage of the first sensor. Methods, computer program products, and autonomous vehicles are also disclosed.
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公开(公告)号：US12111389B2
公开(公告)日：2024-10-08
申请号：US17027501
申请日：2020-09-21
Applicant: Argo AI, LLC
Inventor： Jonathan C. Berry , Duc H. Vu
IPC: G01S13/86 , G01S13/58 , G01S13/931
CPC classification number: G01S13/865 , G01S13/58 , G01S13/931
Abstract: Devices, systems, and methods are provided for radar elevation angle validation. A radar elevation angle validation device transmit, from a radar, one or more signals towards a corner reflector situated in a direction of the radar. The radar elevation angle validation device may receive, at the radar, reflected signals from the corner reflector. The radar elevation angle validation device may measure signal energy of at least one of the reflected signals. The radar elevation angle validation device may access a baseline dataset based on the measured signal energy. The radar elevation angle validation device may retrieve a radar elevation angle from the baseline dataset corresponding to the measured signal energy. The radar elevation angle validation device may compare the radar elevation angle to a validation threshold. The radar elevation angle validation device may determine a radar validation status based on the comparison.
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公开(公告)号：US12067818B2
公开(公告)日：2024-08-20
申请号：US17660841
申请日：2022-04-27
Applicant: Argo AI, LLC
Inventor： Guillaume Binet , Nicholas J. Meyer , Randall Nortman
CPC classification number: G07C5/0841 , G05B23/0264 , G05D1/0088 , G05D1/0246
Abstract: To identify sources of data resulting from an execution flow in a robotic device such as an autonomous vehicle, an operating system receives sensor data from various sensors of the robotic device. For each sensor, the system generates a data log comprising an identifier of a first checkpoint associated with that sensor, as well as a first timestamp. The system performs an execution flow on the sensor data from that sensor. The system updates the data log to include an identifier and timestamp for one or more additional checkpoints during the execution flow. The system then fuses results, uses the fused data as an input for a decision process, and causes a component of the robotic device to take an action in response to an output of the decision process. The system may record the action, an action timestamp and the data logs for each sensor in a memory.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240257536A1
公开(公告)日：2024-08-01
申请号：US18161287
申请日：2023-01-30
Applicant: Argo AI, LLC
Inventor： Francesco Ferroni
CPC classification number: G06V20/588 , G06V20/70
Abstract: Provided are systems, methods, and computer program products for streaming data mining with text-image joint embeddings by obtaining a roadway dataset, having a condition that each record in the roadway dataset includes an image logged by an autonomous vehicle (AV) in a roadway, generating based on a text-image model, an embedding dataset comprising an image embedding for each record in the roadway dataset, each image embedding identifying a point in a high dimension space, determining, by the one or more processors, a parametric description of a high probability field which surrounds a query input text in the high dimension space, determining, by the one or more processors, at least one input image of an input stream of images that is in the high probability field, and automatically labeling, by the one or more processors, the at least one input image based on the query input text.
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公开(公告)号：US20240249218A1
公开(公告)日：2024-07-25
申请号：US18156986
申请日：2023-01-19
Applicant: Argo AI, LLC
Inventor： Parul Kothari , Noe Brito , Juanqui Yu , Peter Hoang , Han Nguyen , Vicente Quinones , Karson Stone
IPC: G06Q10/0631 , B60W60/00 , G06Q50/30
CPC classification number: G06Q10/063118 , B60W60/00253 , G06Q10/063112 , G06Q50/30 , B60W2556/40
Abstract: This document discloses system, method, and computer program product embodiments for preparing a fleet of vehicles for service. For example, the method includes receiving: a set of mission types, a set of mission requests, vehicle information related to vehicles of a fleet, and personnel information. The method further includes applying the set of mission types and the set of mission requests to one or more priority engines to produce a prioritized list of mission requests. The method further includes applying the received vehicle information, the received personnel information, and the prioritized list of mission requests to one or more rules engines to produce a proposed schedule of missions for a period of time, generating software and/or map data for one or more of the vehicles, and providing the generated software and/or map data to the vehicles prior to the period of time.
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公开(公告)号：US12044779B2
公开(公告)日：2024-07-23
申请号：US17115006
申请日：2020-12-08
Applicant: Argo AI, LLC
Inventor： Patrick Zhou , Yijun Tang , Guillaume Binet
CPC classification number: G01S17/89 , G01S17/931 , G05D1/0231 , G06F16/51 , G06T1/0007 , G06T1/60
Abstract: A system includes a computer-readable memory for storage and retrieval of LiDAR data. The memory includes one or more point cloud data structures, each point cloud data structure including a first header block, and a plurality of point blocks. Each of the plurality of point blocks is configured to store at least a portion of LiDAR point cloud data. The memory includes one or more image data structures having a second header block, and a plurality of image column blocks. Each image column block includes a column of pixels of a corresponding image from the LiDAR point cloud data, and the image column blocks collectively contain all pixels of the corresponding image.
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公开(公告)号：US20240237275A1
公开(公告)日：2024-07-11
申请号：US18095890
申请日：2023-01-11
Applicant: Argo AI, LLC
Inventor： Paul KARAYACOUBIAN , Jonathan Michael BONTE , Juan AGUAYO , Rob HIBBS
IPC: H05K7/20
CPC classification number: H05K7/20254 , H05K7/20272 , H05K7/2039 , B60R16/0231
Abstract: Disclosed herein are embodiments for a control module cooling system. For example, the control module is provided with a chassis and a circuit board assembly that is mounted to the chassis and includes electronics that generate heat during operation. A cold plate is mounted to the chassis and adjacent to the circuit board assembly and defines an opening. A cold block is coupled to the cold plate and comprises: a base disposed within the opening and coupled to the electronics; a plurality of fins extending from the base and spaced apart from each other to form channels; and a plate that is spaced apart from the base to form a cavity. The plate defines an inlet that is arranged over a central portion of the plurality of fins to receive a liquid therethrough to facilitate impinging flow of the liquid through the channels to transfer heat from the electronics.
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公开(公告)号：US20240192021A1
公开(公告)日：2024-06-13
申请号：US18077646
申请日：2022-12-08
Applicant: ARGO AI, LLC
Inventor： Konstantinos BATSOS , Khalid Yousif , Thomas Bu , Yong-Dian Jian
CPC classification number: G01C21/3822 , G01C21/3841 , G06N3/045 , G06N3/08
Abstract: Disclosed herein are system, method, and computer program product embodiments for handling changes in road markings. For example, the method includes identifying a road marking in a road trajectory of a vehicle using an artificial intelligence (AI) model and sensor data from a sensor of the vehicle and performing a map update based on a determination that there is a change in road markings in the road trajectory. The determination is based on at least on-board data generated when the vehicle is traversing the road trajectory and off-board data generated using stored data. The sensor data includes two or more sensor modalities.
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