Nissan North America, Inc.

Renault S.a.s.

United States of America As Represented by the Administrator of Nasa

University of Massachusetts

Laura Cesafsky

Stefan Witwicki

Najamuddin Mirza Baig

Omar Bentahar

Astha Vagadia

Sparsh Sharma

Kyle Hollins Wray

Julius S Gyorfi

Shlomo Zilberstein

Melissa Cefkin

Jingyi Zhang

Erik Stayton

Simon Tien

Arec Jamgochian

Hillary Abraham

An apparatus for traversing a vehicle transportation network by an autonomous vehicle (AV) includes a human-autonomy teaming manager. The manager includes a first processor configured to initiate a dialogue associated with a predefined dynamic task sequence that is responsive to a condition experienced by the AV while traversing from a starting location to an ending location within the vehicle transportation network. The sequence is one of a plurality of predefined dynamic task sequences that uses multiple agents to resolve the condition. The manager receives, from an interface accessible to a human agent, an input responsive to the dialogue. The input confirms the sequence as a selected predefined dynamic task sequence or selects an other of the plurality of predefined dynamic task sequences as the selected predefined dynamic task sequence. The manager delegates tasks of the selected predefined dynamic task sequence to resolve the condition.

Using plays for human-AI decision-making in remote autonomous vehicle support

A processor is configured to execute instructions stored in a memory to determine, in response to identifying vehicle operational scenarios of a scene, an action for controlling the AV, where the action is from a selected decision component that determined the action based on level of certainty associated with a state factor; generate an explanation as to why the action was selected, such that the explanation includes respective descriptors of the action, the selected decision component, and the state factor; and display the explanation in a graphical view that includes a first graphical indicator of a world object of the selected decision component, a second graphical indicator describing the state factor, and a third graphical indicator describing the action.

Explainability of autonomous vehicle decision making

Controlling a vehicle using contextual navigation assistance can include defining a context for the vehicle using sensor data for a plurality of time points while the vehicle traverses between a starting and stopping location, the context being one of multiple contexts, and each associated with at least one candidate variable for inclusion in an ordered representation of information, classifying the vehicle into a phase of multiple phases associated with different proximities of the vehicle to a maneuver, each phase associated with at least one candidate variable for inclusion in the ordered representation, and generating, using the phase and the context, the ordered representation. The ordered representation is ranked from most likely to least likely information that is necessary, during a current phase, to successfully complete the maneuver. The ordered representation is produced by a user interface so that it can be used to control the vehicle.

System and method for controlling a vehicle using contextual navigation assistance

Distance and object based external notification system for automated hailing service is described. An autonomous vehicle (AV) can include a processor configured to execute instructions stored on a non-transitory computer readable medium to detect, based on sensor information, an object within the AV; determine that the object belongs to a recent occupant of the AV; and, in response to the determining that the object belongs to the recent occupant of the AV, select, based on a proximity of the recent occupant to the AV, a notification modality for sending a message to the recent occupant regarding the object; and send the message using the notification modality.

Distance and object based external notification system for automated hailing service

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San Francisco, CA, United States of America

Laura Cesafsky