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1.发明授权公开(公告)号：US11787053B2
公开(公告)日：2023-10-17
申请号：US17065293
申请日：2020-10-07
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
CPC classification number: B25J9/1666 , B25J9/163 , G05D1/0212 , G06F17/18 , G06V20/58 , G06V40/103
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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2.发明申请公开(公告)号：US20200249680A1
公开(公告)日：2020-08-06
申请号：US16743777
申请日：2020-01-15
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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3.发明授权公开(公告)号：US11630461B2
公开(公告)日：2023-04-18
申请号：US16743777
申请日：2020-01-15
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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Patent Agency Ranking
公开(公告)号：US20200174480A1
公开(公告)日：2020-06-04
申请号：US16205572
申请日：2018-11-30
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman , Soshi Iba , Shih-Yun Lo , Katsu Yamane , Chao Cao
Abstract: Embodiments, systems, and methods for navigational planning of a mobile programmable agent are provided. In some embodiments, the navigational planning may include identifying a plurality of dynamic objects in a physical environment having an origin and a destination. The physical environment is divided into a plurality of plane figures. The location of a centroid of each plane figure can then be calculated. A network of segments is formed from the origin to the destination intersecting the centroids. At least one channel is determined from the origin to the destination using a set of segments. A set of gates is identified along the at least one channel. The state of the gates is selectively determined based on movement of the dynamic objects. A pathway can then be identified within the channel for the mobile programmable agent to traverse from the origin to the destination based on the state of the gates.
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公开(公告)号：US11597088B2
公开(公告)日：2023-03-07
申请号：US16826098
申请日：2020-03-20
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility for the host and at least two agent of the plurality of agents. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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6.发明申请公开(公告)号：US20210146541A1
公开(公告)日：2021-05-20
申请号：US17065293
申请日：2020-10-07
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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公开(公告)号：US10901425B2
公开(公告)日：2021-01-26
申请号：US16205572
申请日：2018-11-30
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman , Soshi Iba , Shih-Yun Lo , Katsu Yamane , Chao Cao
Abstract: Embodiments, systems, and methods for navigational planning of a mobile programmable agent are provided. In some embodiments, the navigational planning may include identifying a plurality of dynamic objects in a physical environment having an origin and a destination. The physical environment is divided into a plurality of plane figures. The location of a centroid of each plane figure can then be calculated. A network of segments is formed from the origin to the destination intersecting the centroids. At least one channel is determined from the origin to the destination using a set of segments. A set of gates is identified along the at least one channel. The state of the gates is selectively determined based on movement of the dynamic objects. A pathway can then be identified within the channel for the mobile programmable agent to traverse from the origin to the destination based on the state of the gates.
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公开(公告)号：US20200246973A1
公开(公告)日：2020-08-06
申请号：US16826098
申请日：2020-03-20
Applicant: Honda Motor Co., Ltd.
Inventor： Peter Trautman
Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility for the host and at least two agent of the plurality of agents. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
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