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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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