Honda Motor Co., Ltd.

Peter Trautman

Soshi Iba

Katsu Yamane

Shih-Yun Lo

Chao Cao

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.

Systems and methods for utilizing interacting Gaussian mixture models for crowd navigation

Systems and methods for utilizing interacting gaussian mixture models for crowd navigation

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.

Systems and methods for fully coupled models for crowd navigation

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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Mountain View, CA, United States of America

Peter Trautman