Nissan North America, Inc.

Renault S.a.s.

United States of America As Represented by the Administrator of Nasa

Siddharth Thakur

Daisuke Saito

Naoki Kojo

Armelle Guerin

Nikhil Lele

Nicolas F Meuleau

Mark Allan

Atsuhide Kobashi

Gregory D Dibb

Liam Pedersen

Masahide Nakamura

Julius S Gyorfi

Maarten Sierhuis

Mauro Della Penna

Ali Mortazavi

Eric Schafer

Omar Bentahar

John Deniston

Aude Laurent

Kevin Poulet

Richard Salloum

Shane Hogan

Stephen Wu

Ben Christel

Dawn Wheeler

GianLuca Storti

Andrea Angquist

David Lees

Richard Enlow

Sannidhi Jalukar

Jen Hamon

Christopher Ostafew

Viju James

Simon Tien

Mark Fischer

Mark B Allan

A curb management system for a host vehicle includes a sensor, an electronic controller, and a wireless communication system. The sensor is configured to detect information relating to a presence of a parked vehicle along a curb of a road. The electronic controller is configured to determine curb management information based on the information detected by the sensor. The wireless communication system is configured to transmit the curb management information to a remote server and to receive a predicted curb availability from the remote server.

System and method of curb management for a vehicle

An apparatus for remote support of autonomous operation of a vehicle includes a processor that is configured to perform a method including receiving, from a vehicle traversing a driving route from a start point to an end point at a destination, an assistance request signal identifying an inability of the vehicle at the destination to reach the end point, generating a first map display including a representation of a geographical area and the vehicle within the geographical area, receiving, from the vehicle, sensor data from one or more sensing devices of the vehicle, generating a remote support interface including the first map display and the sensor data, and transmitting instruction data to the vehicle that includes an alternative end point at the destination responsive to an input signal provided to the remote support interface.

Remote operation extending an existing route to a destination

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.

Remote system for an autonomous vehicle

A method of exception handing for an autonomous vehicle (AV) includes identifying an exception situation; identifying relevant sensors for the exception situation; identifying relevant tools to the exception situation, the relevant tools usable by a tele-operator to resolve the exception situation; and presenting, on a display of the tele-operator, data from the relevant sensors and the relevant tools.

System to recommend sensor view for quick situational awareness

An autonomous vehicle service system having a display device, a receiver, and a controller. The receiver is configured to receive transmitted data from an autonomous vehicle related to status of the autonomous vehicle and information from a third party related to road conditions. The controller is programmed to monitor the transmitted data related to the status of the autonomous vehicle and the road conditions, determine when the autonomous vehicle requires assistance based on the transmitted data, and, when the autonomous vehicle requires assistance, cause information related to the autonomous vehicle to be displayed on the display device.

Autonomous vehicle service system

An apparatus for remote support of autonomous operation of a vehicle is described. The apparatus includes a processor that performs a method including receiving a query to define a path for the vehicle while the vehicle is traveling along a route from an origin to a destination in a vehicle transportation network, the query comprising multiple points including at least a start point and an end point of the path, obtaining a satellite image of a portion of a geographical area that encompasses the multiple points, determining, using the satellite image, static obstacles within the portion of the geographical area, the static obstacles defining navigable areas within the vehicle transportation network, generating the path through each of the multiple points such that the path is located within at least one navigable area of the navigable areas, and transmitting the path for use by the vehicle.

Pathfinding assistance system for teleoperation

A method for performing a pickup/drop-off at a location includes providing, to an autonomous vehicle (AV), a parameter value of a parameter associated with the pickup/drop-off. The AV executes the pickup/drop-off according to the parameter value. After the pickup/drop-off is executed, feedback related to the parameter is received from a customer and from a tele-operator. The method also includes identifying other world objects present at the location during the pickup/drop-off and generating an optimized parameter value for executing the pickup/drop-off using the parameter value, the customer feedback, the tele-operator feedback, and other world objects.

Automated learning system for improved pickup/dropoff maneuver

Methods, apparatuses, systems, and non-transitory computer readable storage media for providing on-demand services to vehicles are described. The disclosed technology determines information associated with a vehicle, generates a request for a fuel delivery on-demand service using the information, confirms identification of the vehicle using a wireless signal of the vehicle, provides access to the vehicle to enable performance of the fuel delivery on-demand service and secures the vehicle after completion of the fuel delivery on-demand service.

Vehicle sensing and access control for on-demand services

Service requests are transmitted to multiple vehicles, each request associated with a time and a location. Driving histories of vehicles are known. A first location associated with a service request is compared with a known location in a vehicle driving history. The known location comprises a first cell identifier of a first grid where a size of the cells indicates a maximum acceptable deviation of the vehicle from a travel segment in the driving history that includes the first cell identifier. When the first location matches the known location and the associated time overlaps a start or end time of the travel segment that includes the first cell identifier, the service request is identified to the vehicle. The vehicle sends an indicator that it will perform at least a portion of a service, and an instruction is transmitted to the vehicle that causes the vehicle to perform the service.

Incentivized group shipping system

Automatically identifying associations between vehicle operating data and non-vehicle operating data may include identifying vehicle transportation network data representing a vehicle transportation network, identifying vehicle operating data reported for a plurality of vehicles, wherein the vehicle operating data includes vehicle operation records, identifying non-vehicle operating data reported for a plurality of users, wherein the non-vehicle operating data includes non-vehicle operation records, automatically identifying an association between the vehicle operating data and the non-vehicle operating data, and generating updated vehicle transportation network data based on the vehicle transportation network data.

Automatically identifying associations between vehicle operating data and non-vehicle operating data

Methods, apparatuses, systems, and non-transitory computer readable storage media for providing on-demand services to vehicles are described. The disclosed technology determines information associated with the vehicle. The information includes a location of the vehicle. A request is generated for the on-demand service using the information and identification of the vehicle is confirmed using a wireless signal of the vehicle. Access is provided to the vehicle to enable performance of the on-demand service and the vehicle is secured after completion of the on-demand service.

A method, a vehicle and a system that identify and use a location significant to a person associated with a vehicle based on vehicle probe data are described. Vehicle transportation network information representing a vehicle transportation network is identified, the vehicle transportation network information including destinations of a vehicle obtained from vehicle probe data. For at least some of the destinations, density-based clustering is performed using temporal data associated with the at least some of the destinations to form at least two spatio-temporal clusters. A contextual label is assigned to a location associated with a first spatio-temporal cluster of the at least two spatial-temporal clusters based on the temporal data associated with the first spatio-temporal cluster, the location being a labeled location, and the labeled location is used for vehicle operation. The labeled location may be used for navigation or service, for example.

Identifying significant locations based on vehicle probe data

A method and apparatus for autonomous vehicle routing and navigation using passenger docking locations are disclosed. Autonomous vehicle routing and navigation using passenger docking locations may include an autonomous vehicle identifying map information representing a vehicle transportation network, the vehicle transportation network including a primary destination and a docking location, wherein identifying the map information includes identifying the map information such that the map information includes docking location information representing the docking location. The autonomous vehicle may identify the docking location as a target docking location for the primary destination based on the map information, generate, based on the map information, route information representing a route for the autonomous vehicle to traverse the vehicle transportation network from an origin in the vehicle transportation network to the target docking location, and traverse the vehicle transportation network from the origin to the target docking location in accordance with the route information.

Autonomous vehicle routing and navigation using passenger docking locations

A method and apparatus for associating a person with a portion of transportation network information based on vehicle operating information are described. The information includes a plurality of destinations. First vehicle operating information for a vehicle is identified, which information includes a first plurality of vehicle operations occurring during a first plurality of time windows. First values for a plurality of features are extracted from the first plurality of vehicle operations. A portion of the vehicle transportation network is associated with an owner/operator of the vehicle based on the first values. For consecutive time windows thereafter, second values for the features are extracted from second vehicle operating information for the vehicle that includes a second plurality of vehicle operations occurring during the consecutive time windows. Based on changes, a determination can be made as to whether an identity of the person associated with the vehicle has changed over time.

Pattern detection using probe data

A method and apparatus for identifying parking areas may include identifying a plurality of coordinates representing vehicle spatial data, partitioning the plurality of coordinates into at least two groups of vehicle locations based on at least one condition existing when the plurality of coordinates was identified, clustering the vehicle spatial data for a first group of the at least two groups of vehicle locations based on proximity, comparing dimensions of the clustered vehicle spatial data for the first group with other location data within the vehicle transportation network information, and defining a respective location of the clustered vehicle spatial data as a parking area of a plurality of parking areas. Each parking area is associated with a respective location in a vehicle transportation network. The parking area information may be used in the identification of a route from an origin to a primary destination.

Growing community of inventors

Milpitas, CA, United States of America

Siddharth Thakur