Nissan North America, Inc.

United States of America As Represented by the Administrator of Nasa

Florida Institute for Human and Machine Cognition, Inc.

Renault S.a.s.

Maarten Sierhuis

Liam Pedersen

Mauro Della Penna

Hans Utz

Mark Allan

Eric Schafer

Terrence Fong

Maria Bualat

Ali Mortazavi

Jeffrey M Bradshaw

Matthew Johnson

Balachandran Gadaguntla Radhakrishnan

Lawrence K Bunch

Shigemasa Kuwata

Michael Vignati

Siddharth Thakur

Atsuhide Kobashi

Armelle Guerin

John Deniston

John W Lawson

Shreyas Honrao

Sannidhi Jalukar

David Lees

Richard Enlow

Dawn Wheeler

Andrea Angquist

Richard Salloum

Jen Hamon

Stephen Wu

Ben Christel

Shane Hogan

Hideyuki Komatsu

Atsushi Ohma

Najamuddin Mirza Baig

Erik St Gray

Kazuyuki Sakamoto

Xin Yang

Mohit Rakesh Mehta

Naoki Ueda

John Lawson

Corey Heath

A system may maintain historical vehicle information, collected from multiple vehicles in a vehicle transportation network, in a historical database. The historical vehicle information for a vehicle may include historical data elements corresponding to data types. The system may receive a user request via a communications network. The system may determine, based on the user request, to respond with a historical data element from the historical database or a current data element from current vehicle information collected from a current vehicle that is active in the vehicle transportation network. The system may return a response to the user request via the communications network. The response may include the historical data element or the current data element.

Determining responses to user requests with vehicle information to enable learning

A method of manufacturing an all-solid-state battery cell includes depositing an interlayer directly onto an anode current collector; depositing a solid electrolyte onto the interlayer opposite the anode current collector; forming a cathode on the solid electrolyte opposite the interlayer, wherein the cathode contains one or more lithium-containing compounds; and applying pressure to achieve uniform contact between layers. The manufactured all-solid-state battery cell is anode-free prior to charging. The interlayer is configured such that lithium metal is deposited between the interlayer and the anode current collector during charging, the interlayer prevents contact between the lithium metal and the solid electrolyte, and the interlayer has a greater density than a density of the solid electrolyte.

Anode interlayer for all-solid-state batteries and method of manufacturing the all-solid-state batteries

An all-solid-state battery comprises a lithium anode, a cathode, solid electrolyte and a protective layer between the solid electrolyte and the lithium anode. The protective layer comprises an ion-conducting material having an electrochemical stability window against lithium of at least 1.0 V, a lowest electrochemical stability being 0.0 V and a highest electrochemical stability being greater than 1.0 V. More particularly, when the solid electrolyte is LiSiCON, the electrochemical stability window is at least 1.5 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 1.5 V. When the solid electrolyte is sulfide-based, the electrochemical stability window is at least 2.0 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 2.0 V.

Anode interlayer for lithium batteries

A lithium battery comprises cathode active material comprising particles of a transition metal oxide, each particle coated in an ion-conducting material that has an electrochemical stability window against lithium of at least 2.2 V, a lowest electrochemical stability being less than 2.0 V and a highest electrochemical stability being greater than 4.2 V, the ion-conducting material selected from the group consisting of: CsLiCl; CsLiCrF; CsLiDyCl; CsLiErCl; CsLiGdCl; CsLiLuCl; CsLiNdCl; CsLiPrCl; CsLiScCl; CsLiSmCl; CsLiTbCl; CsLiTmCl; CsLiYCl; CsLiCl; CsLiCl; CsLiCl; CsLiCl; CsLiBeF; CsLiCl; KLiZrHOF; KLiCeCl; KLiDyCl; KLiGdCl; KLiLaCl; KLiPrCl; KLiTbCl; KLiDyF; KLiErF; KLiGdF; KLiHoF; KLiLuF; KLiPHOF; KLiTbF; KLiTmF; KLiYF; LiMgCl; LiBOF; LiBOF; LiBeCl; LiBF; LiCaHfF; LiMgCl; LiSiF; LiTa(OF); LiZnCl; LiZrF; LiAlF; LiErCl; LiScCl; LiScF; LiThF; LiYF; LiBePBrO; LiBePClO; LiZrF; LiZrBeF; LiMgPOF; LiAlCl; LiBOF; LiBF; LiGdCl; LiLuF; LiScF; LiTaF; LiThF; LiYF; LiZrTF; NaLiAlF; NaLiAlF; NaLiBeF; NaLiMgPOF; RbLiCeCl; RbLiDyCl; RbLiErCl; RbLiGdCl; RbLiLaCl; RbLiLuCl; RbLiPrCl; RbLiScCl; RbLiTbCl; RbLiYCl; RbLiBeF; RbLiCl; and RbLiF.

Coating material for cathode active material in lithium batteries

Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.

Computing framework for batch routing of autonomous vehicles

Methods and systems for remote support of autonomous operation of vehicles have been disclosed. State indicators are generated by a first state display based on state data from a portion of vehicles assigned to a respective first level control station. A second state display is generated for a second control station and displays state indicators for the state data of the vehicles. A remote support interface including the first state display and image data received from a first vehicle of the vehicles is generated. Instruction data to the first vehicle is transmitted using the remote support interface and based on an indication that the first vehicle needs remote support, the instruction data modifying the autonomous operation of the first vehicle. A workload between the first level control stations is allocated by assigning the vehicles using the state indicators of the second state display.

Autonomous vehicle remote support mapping interface

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

Methods and systems for providing remote support and negotiating problem situations of autonomous operation of vehicles based on signal states and vehicle information are described. A system comprises a memory and a processor configured to execute instructions stored in the memory to: assign vehicles to support queues based on state data, generate a map display including locations of the vehicles, and generate a state display including the support queues, vehicle manager indicators corresponding to the support queues and state indicators corresponding to the state data.

Tele-operation of autonomous cars to negotiate problem situations

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

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.

Transportation network infrastructure for autonomous vehicle decision making

Methods, apparatuses, systems, and non-transitory computer readable storage media for generating solution data for autonomous vehicles to negotiate problem situations have been disclosed. The disclosed technology generates state data associated with a vehicle using sensor data received from the vehicle and from external objects within a vicinity of the vehicle. The state data includes any of a location of the vehicle, a destination of the vehicle, an operational status of the vehicle, and information associated with a vehicle environment. In response to determining that the state data satisfies a state criterion, a determination of solution profile data that matches the state data is made on the basis of a comparison of the state data to the solution profile data. Solution data is generated using the matching solution profile data to transmit the solution data to the vehicle for execution.

Generation of solution data for autonomous vehicles to negotiate problem situations

Methods and systems for generating a solution path overlay interface to transmit a solution path are described. The disclosed technology includes receiving vehicle data and external data from a vehicle. The vehicle data includes a vehicle location and a vehicle destination, and the external data includes a location and a movement path for each of a plurality of external objects. A solution path is determined between the vehicle location and the vehicle destination, wherein the solution path does not intersect with the plurality of external objects. A solution path overlay interface is generated that includes the vehicle traveling the solution path and at least some of the plurality of external objects. The solution path overlay interface is outputted for display that is configured to receive a command from an operator which results in an updated solution path that is transmitted to the vehicle for execution.

Solution path overlay interfaces for autonomous vehicles

Methods, apparatuses, systems, and non-transitory computer readable storage media for monitoring vehicles including autonomous vehicles are described. The disclosed technology includes a vehicle monitoring system that receives vehicle data and external data associated with a vehicle and a corresponding predetermined area. The vehicle data includes a vehicle state of the vehicle and the external data includes external states of external objects. An issue type of the vehicle is determined based on the vehicle state and at least one of the external states. An indication of the issue type is generated for display on an interface.

Autonomous vehicle monitoring using generated interfaces

Methods and systems for providing remote support and negotiating problem situations of autonomous operation of vehicles based on signal states and vehicle information are described. The disclosed technology receives state data for the vehicles by an apparatus such as a remote vehicle support apparatus. The state data indicates a respective current state for the vehicles. The vehicles are each assigned to respective remote vehicle support queues based on the respective state data. An indication that one of the vehicles is requesting remote support is received by the remote vehicle support apparatus. In response to a determination that a change in the state data indicates that autonomous operation of the one of the vehicles is operating outside of defined parameter values, the remote support is provided to the one of the vehicles through a communications link by transmitting instruction data to modify the autonomous operation of the one of the vehicles.

Methods, apparatuses, systems, and non-transitory computer readable storage media for providing bandwidth constrained image processing are described. The disclosed technology determines a data transfer rate of at least one signal received from a vehicle, the at least one signal including state/status data of the vehicle. In response to determining that the data transfer rate satisfies a data transfer rate criterion, a location of the vehicle and a location of at least one of a plurality of objects that obstruct the at least one signal is determined using the state data and external data associated with the vehicle. The disclosed technology generates optimized state data using the state data and the external data.

Growing community of inventors

San Francisco, CA, United States of America

Maarten Sierhuis