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公开(公告)号：US20250077942A1
公开(公告)日：2025-03-06
申请号：US18241883
申请日：2023-09-03
Applicant: Aurora Operations, Inc.
Inventor： Mohamed Chaabane , Benjamin Kaplan , Yevgeni Litvin , Stephen O'Hara , Sean Vig
Abstract: A unified boundary machine learning model is capable of processing perception data received from various types of perception sensors on an autonomous vehicle to generate perceived boundaries of various semantic boundary types. Such perceived boundaries may then be used, for example, to control the autonomous vehicle, e.g., by generating a trajectory therefor. In some instances, the various semantic boundary types detectable by a unified boundary machine learning model may include at least a virtual construction semantic boundary type associated with a virtual boundary formed by multiple spaced apart construction elements, as well as an additional semantic boundary type associated with one or more other types of boundaries such as boundaries defined by physical barriers, painted or taped lines, road edges, etc.
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公开(公告)号：US20250074451A1
公开(公告)日：2025-03-06
申请号：US18242328
申请日：2023-09-05
Applicant: Aurora Operations, Inc.
Inventor： Mohamed Chaabane , Benjamin Kaplan , Yevgeni Litvin , Stephen O'Hara , Sean Vig
Abstract: A unified boundary machine learning model is capable of processing perception data received from various types of perception sensors on an autonomous vehicle to generate perceived boundaries of various semantic boundary types. Such perceived boundaries may then be used, for example, to control the autonomous vehicle, e.g., by generating a trajectory therefor. In some instances, the various semantic boundary types detectable by a unified boundary machine learning model may include at least a virtual construction semantic boundary type associated with a virtual boundary formed by multiple spaced apart construction elements, as well as an additional semantic boundary type associated with one or more other types of boundaries such as boundaries defined by physical barriers, painted or taped lines, road edges, etc.
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公开(公告)号：US12027043B2
公开(公告)日：2024-07-02
申请号：US17647815
申请日：2022-01-12
Applicant: Aurora Operations, Inc.
Inventor： Sean Vig , Shivali Chandra
IPC: G06F17/00 , G06F16/29 , G06V20/58 , G08G1/01 , G08G1/0967
CPC classification number: G08G1/0141 , G06F16/29 , G06V20/582 , G06V20/584 , G08G1/0112 , G08G1/0129 , G08G1/096716
Abstract: Systems, devices, products, apparatuses, and/or methods, for detecting a missing traffic face, including: obtaining sensor data that includes a plurality of images associated with a geographic location including a roadway and associated with a plurality of image capture locations in the geographic location, determining in a subset of images of the plurality of images, a plurality of image areas associated with at least one predicted traffic face, determining a plurality of rays that project through 3-D spaces of the geographic location associated with the plurality of image areas from a subset of image capture locations of the plurality of image capture locations associated with the subset of images, and identifying at least one location of a traffic face in the geographic location based on a sum of unit vectors of the plurality of rays that project through the 3-D spaces of the geographic location at the at least one location of the traffic face.
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