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公开(公告)号：US20210354730A1
公开(公告)日：2021-11-18
申请号：US17321253
申请日：2021-05-14
Applicant: Perceptive Automata, Inc.
Inventor： Samuel English Anthony , Till S. Hartmann , Jacob Reinier Maat , Dylan James Rose , Kevin W. Sylvestre
Abstract: An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provided to a machine learning based model along with an expected turn direction of the autonomous vehicle to determine a hidden context attribute of a traffic entity given the expected turn direction of the autonomous vehicle. The hidden context attribute of the traffic entity represents factors that affect the behavior of the traffic entity, and the hidden context attribute is used to predict future behavior of the traffic entity. Instructions to control the autonomous vehicle are generated based on the hidden context attribute.
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公开(公告)号：US11518413B2
公开(公告)日：2022-12-06
申请号：US17321253
申请日：2021-05-14
Applicant: Perceptive Automata, Inc.
Inventor： Samuel English Anthony , Till S. Hartmann , Jacob Reinier Maat , Dylan James Rose , Kevin W. Sylvestre
Abstract: An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provided to a machine learning based model along with an expected turn direction of the autonomous vehicle to determine a hidden context attribute of a traffic entity given the expected turn direction of the autonomous vehicle. The hidden context attribute of the traffic entity represents factors that affect the behavior of the traffic entity, and the hidden context attribute is used to predict future behavior of the traffic entity. Instructions to control the autonomous vehicle are generated based on the hidden context attribute.
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