COLLECTIVE NAVIGATION FOR VIRTUAL REALITY DEVICES

    公开(公告)号:US20180061125A1

    公开(公告)日:2018-03-01

    申请号:US15247801

    申请日:2016-08-25

    CPC classification number: G06T19/003 G06F3/011 G06T7/75

    Abstract: A computer-executed method is disclosed for collective navigation of distributed virtual reality (VR) devices. The method obtains a source vertex and a destination vertex for a VR device. The source vertex and the destination vertex include vertices of a graph model of a navigable space having a plurality of vertices. The vertices represent a point within the navigable space and the plurality of edges represent a path segment between two corresponding vertices. A subset of possible vertices, selected from the plurality of vertices, is determined for a navigable path. A vertex traffic potential is determined for each vertex of the subset of possible vertices. The navigable path, including one or more consecutive path segments selected to minimize both segment path lengths and vertex traffic potentials, is determined from the source vertex to the destination vertex.

    Intelligent System of Information Broker under a Data and Energy Storage Internet Infrastructure

    公开(公告)号:US20170257450A1

    公开(公告)日:2017-09-07

    申请号:US15057665

    申请日:2016-03-01

    CPC classification number: H04L67/22 H02J3/14 H02J13/0006 H04L67/12

    Abstract: A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a data and energy storage internet architecture, the method comprising collecting device data, human presence data, and human activity data; determining predicted human behaviors for the user; determining a predicted energy metric for the smart system during a future time slot; calibrating weighted objective metrics of an operating status of the devices, a human comfort level, and a human productivity level according to the predicted human behaviors and user defined preference levels defined for the smart system; generating a set of control commands for the devices within the smart system by executing the dynamic human-centric Objective Function on the predicted energy metric; and transmitting, via a transmitter, the set of control commands to corresponding devices within the smart system.

    Collective navigation for virtual reality devices

    公开(公告)号:US10410416B2

    公开(公告)日:2019-09-10

    申请号:US15247801

    申请日:2016-08-25

    Abstract: A computer-executed method is disclosed for collective navigation of distributed virtual reality (VR) devices. The method obtains a source vertex and a destination vertex for a VR device. The source vertex and the destination vertex include vertices of a graph model of a navigable space having a plurality of vertices. The vertices represent a point within the navigable space and the plurality of edges represent a path segment between two corresponding vertices. A subset of possible vertices, selected from the plurality of vertices, is determined for a navigable path. A vertex traffic potential is determined for each vertex of the subset of possible vertices. The navigable path, including one or more consecutive path segments selected to minimize both segment path lengths and vertex traffic potentials, is determined from the source vertex to the destination vertex.

    Path selection for autonomous vehicles

    公开(公告)号:US10162356B2

    公开(公告)日:2018-12-25

    申请号:US15379979

    申请日:2016-12-15

    Inventor: Lei Rao

    Abstract: According to a method for selecting a path, the vehicle may receive driving condition of an area from a server, where the driving condition indicates that the area comprises a trouble area. Based on the driving condition of the area, the vehicle may calculate a first path and a second path, each of which is from a first point to a second point. The vehicle may obtain an effect value on vehicle driving associated with a change of weather. Based on the effect value and some other information, the vehicle may calculate a first weighted value for the first path and a second weighted value for the second path. Based on the first weighted value and the second weighted value, the vehicle may select a path. Because the effect value is used to select a path, the path selection in this embodiment may be associated with the change of weather.

    Adaptive passenger comfort enhancement in autonomous vehicles

    公开(公告)号:US10029698B2

    公开(公告)日:2018-07-24

    申请号:US15213532

    申请日:2016-07-19

    Abstract: A system and method for performing self-learning for adaptively achieving passenger comfort enhancement in an autonomous vehicle. The system comprises a plurality of sensor inputs. Each sensor input provides data representative of voice responses and image responses from a passenger in the vehicle. A controller is coupled to the plurality of sensor inputs. The controller generates and updates a reward function that includes a plurality of driving state transitions. The reward function is updated based on destination information and the data representative of the voice and image responses. The controller further generates a goal function that determines an optimized driving state transition updates the goal function based on the updated reward function and a previous goal function. The controller also generates a vehicle speed control signal, based on the updated goal function, to control the speed of the autonomous vehicle.

    Communication Between Distributed Information Brokers Within a Data and Energy Storage Internet Architecture

    公开(公告)号:US20170176955A1

    公开(公告)日:2017-06-22

    申请号:US14970906

    申请日:2015-12-16

    CPC classification number: G05B13/026 H02J3/00 H02J2003/003 H04L43/08

    Abstract: A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture comprising collecting energy data indicating a flow of energy, an amount of energy consumed and generated by devices; collecting human presence data; collecting human activity data; predicting future energy consumption requirements and generation by employing prediction algorithms and analyzing the collected data; generating a set of control commands based on the predicted future energy consumption requirements and energy generation as applied to a cost function; transmitting the set of control commands to the corresponding devices; transmitting a broadcast message to determine an external NE to establish as a friend connection based on a user preference; transmitting a request to establish a friend connection with the determined NE; and transmitting the human presence data to the external NE when the friend connection is established.

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