公开(公告)号：US10115305B2

公开(公告)日：2018-10-30

申请号：US15282664

申请日：2016-09-30

Applicant: Nissan North America, Inc.

Inventor： Ali Mortazavi ,  Maarten Sierhuis ,  Mauro Della Penna

IPC: G08G1/0967 ,  G01C21/34 ,  G05D1/00 ,  G05D1/02 ,  G08G1/0968 ,  H04B1/3822 ,  H04W4/02 ,  H04W4/04 ,  G08G1/07

Abstract: Methods, apparatuses, and non-transitory computer readable storage media for optimizing driving time based on traffic signal states are described. The disclosed technology includes a vehicle that is able to determine, based on route data, a plurality of distances that correspond to paths between a vehicle location and a destination location for the vehicle. The route data can include a map of a predetermined area that includes the vehicle location and the destination location. The vehicle can receive traffic signal data that includes traffic signal states for a corresponding traffic signals on the paths. The vehicle can determine travel times corresponding to a predetermined portion of the paths based on the distances and the traffic signal states. The vehicle can determine an optimized path between the vehicle location and the destination location based on the path that is determined to have the shortest travel time.

公开(公告)号：US11378950B2

公开(公告)日：2022-07-05

申请号：US16465411

申请日：2017-12-22

Applicant: NISSAN NORTH AMERICA, INC. ,  United States of America as Represented by the Administrator of the National Aeronautics and Space Administration

Inventor： Liam Pedersen ,  Siddharth Thakur ,  Armelle Guerin ,  Ali Mortazavi ,  Atsuhide Kobashi ,  Mauro Della Penna ,  Richard Enlow ,  Andrea Angquist ,  Richard Salloum ,  Stephen Wu ,  Ben Christel ,  Shane Hogan ,  John Deniston ,  Jen Hamon ,  Sannidhi Jalukar ,  Maarten Sierhuis ,  Eric Schafer ,  David Lees ,  Dawn Wheeler ,  Mark Allan

IPC: G05D1/00 ,  G08G1/00 ,  G08G1/01

Abstract: A remote system for an autonomous vehicle, includes a receiver, a controller, and a display device. The receiver is configured to receive road information. The controller is programmed to receive input related to the road information and create a supervision zone when the road information impacts road drivability. The display device is disposed at a control center area and configured to display a visual indication on a map of the supervision zone.

公开(公告)号：US20210086795A1

公开(公告)日：2021-03-25

申请号：US17048904

申请日：2018-05-31

Applicant: Nissan North America, Inc. ,  Renault S.A.S.

Inventor： Yue Zhao ,  Christopher Ostafew ,  Ali Mortazavi ,  Liam Pedersen

IPC: B60W60/00 ,  G05D1/00 ,  G05D1/02 ,  B60W50/00 ,  H04L29/08 ,  G08G1/16

Abstract: World objects tracking and prediction by an autonomous vehicle is disclosed. A method includes receiving, from sensors of the AV, a first observation data; associating the first observation data with a first world object; determining hypotheses for the first world object, wherein a hypothesis corresponds to an intention of the first world object; determining a respective hypothesis likelihood of each of the hypotheses indicating a likelihood that the first world object follows the intention; determining, for at least one hypothesis of the hypotheses, a respective state, wherein the respective state comprises predicted positions of the first world object; and in response to a query, providing a hypothesis of the hypotheses based on the respective hypothesis likelihood of each of the hypotheses.

公开(公告)号：US20210001882A1

公开(公告)日：2021-01-07

申请号：US16971153

申请日：2018-02-28

Applicant: Nissan North America, Inc. ,  Renault S.A.S.

Inventor： Ali Mortazavi ,  Maarten Sierhuis ,  Liam Pedersen

IPC: B60W60/00 ,  G06K9/00 ,  G06K9/62 ,  G06N20/00 ,  H04W4/029

Abstract: According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with a route and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure data to an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.

公开(公告)号：US10126135B2

公开(公告)日：2018-11-13

申请号：US14969151

申请日：2015-12-15

Applicant: NISSAN NORTH AMERICA, INC.

Inventor： Ali Mortazavi ,  Vikram Krishnamurthy

IPC: G01C21/34 ,  H04L29/08 ,  G08G1/0967 ,  H04W84/18 ,  H04W84/00

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：US09746853B2

公开(公告)日：2017-08-29

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 ,  G06N99/00 ,  G05D1/00

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.