公开(公告)号：US20170169705A1

公开(公告)日：2017-06-15

申请号：US14969151

申请日：2015-12-15

Applicant: NISSAN NORTH AMERICA, INC.

Inventor： ALI MORTAZAVI ,  VIKRAM KRISHNAMURTHY

IPC: G08G1/01 ,  G01C21/34 ,  G05D1/02 ,  H04L29/08 ,  G05D1/00

CPC classification number: G01C21/34 ,  G01C21/3492 ,  G08G1/096716 ,  G08G1/096725 ,  G08G1/096741 ,  G08G1/09675 ,  G08G1/096775 ,  G08G1/096791 ,  H04L67/12 ,  H04W4/44 ,  H04W84/005 ,  H04W84/18

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as an artificial neural network based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

公开(公告)号：US20150345971A1

公开(公告)日：2015-12-03

申请号：US14294420

申请日：2014-06-03

Applicant: Nissan North America, Inc.

Inventor： NICOLAS MEULEAU ,  VIKRAM KRISHNAMURTHY

IPC: G01C21/34 ,  G05D1/02

CPC classification number: G01C21/3492 ,  G01C21/3415 ,  G01C21/3469 ,  G05D1/0217 ,  G05D2201/0213

Abstract: A method and apparatus for synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation are provided. Synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation may include an autonomous vehicle identifying vehicle transportation network information, identifying an origin, identifying a destination, generating a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, receiving, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of the vehicle transportation network, identifying an optimal route from the plurality of candidate routes based at least in part on the current vehicle transportation network state information, the optimal route having a minimal route cost, and operating the autonomous vehicle to travel from the origin to the destination using the optimal route.

Abstract translation: 提供了一种用于自动车辆路由和导航的用于同步更新的车辆运输网络信息的方法和装置。 用于自主车辆路由和导航的同步更新的车辆运输网络信息可以包括基于车辆运输网络信息的自动车辆识别车辆运输网络信息，识别原点，识别目的地，生成从起点到目的地的多条候选路线 从车载传感器接收当前车辆运输网络状态信息，指示车辆运输网络的至少一部分的状态，至少部分地基于当前车辆运输识别来自多个候选路线的最佳路线 网络状态信息，具有最小路由成本的最优路由，以及使用最优路由来操作自主车辆从起点到目的地。

公开(公告)号：US20170153642A1

公开(公告)日：2017-06-01

申请号：US14954220

申请日：2015-11-30

Applicant: Nissan North America, Inc.

Inventor： ROBERT SCHEEPJENS ,  ALI MORTAZAVI ,  VIKRAM KRISHNAMURTHY

IPC: G05D1/02 ,  G01C21/34

CPC classification number: G05D1/0212 ,  B60W30/00 ,  G01C21/3446 ,  G05D1/0223 ,  G05D2201/0213

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as a support vector regression based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

公开(公告)号：US20160292727A1

公开(公告)日：2016-10-06

申请号：US14672323

申请日：2015-03-30

Applicant: Nissan North America, Inc.

Inventor： VIKRAM KRISHNAMURTHY ,  TOSHIRO MURAMATSU

IPC: G06Q30/02

CPC classification number: G06Q30/0255

Abstract: A computer-aided method for marketing to subjects in a social media platform over the internet comprises supplementing social media data derived from a social media platform and representing candidate subjects for marketing with demographic data derived from outside social media platforms and representing attributes of a population by assigning, in data, the candidate subjects with demographic tags that indicate an attribute of their population. A cluster of target subjects for marketing is selected, from the data, from among the candidate subjects based on the demographic tags, and a marketing message is sent, over the internet using a social media platform, to at least one of the target subjects in the cluster.

Abstract translation: 用于通过互联网在社交媒体平台中向主题进行营销的计算机辅助方法包括补充从社交媒体平台导出的社交媒体数据，并且通过从外部社交媒体平台导出的人口统计数据表示候选主题，并且通过 在数据中分配具有指示其人群属性的人口统计标签的候选对象。 基于人口统计标签，从数据中选出一组用于营销的目标受试者，并且通过使用社交媒体平台的互联网将销售消息发送到至少一个目标受试者 集群。