Abstract: The subject disclosure relates to techniques for implementing conditional automation systems and in particular, for facilitating conditional automation in the context autonomous vehicle (AV) transportation services. Some aspects of the disclosed technology include methods that include steps for receiving an event trigger at a conditional autonomous vehicle (AV) platform, mapping the event trigger onto a conditional output, and sending the conditional output to an autonomous vehicle (AV) associated with the event trigger, wherein the conditional output is configured to update a navigation instruction followed by the AV. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to techniques for providing destination recommendations and improving the user experience of autonomous vehicle riders using sentiment analysis. In some aspects, a process of the disclosed technology includes steps for receiving a ride request, at a computing system of an autonomous vehicle (AV), wherein the ride request comprises trip information that specifies a pick-up location associated with a user, navigating the AV to the pick-up location to provide ride service for the user, receiving in-cabin sensor data associated with the user, and analyzing the in-cabin sensor data to determine a sentiment score associated with the user. In some aspects, the process can further include steps for generating a destination recommendation based on the trip information and the sentiment score. Systems and computer-readable media are also provided.

Abstract: The subject disclosure relates to techniques for implementing conditional automation systems and in particular, for facilitating conditional automation in the context autonomous vehicle (AV) transportation services. Some aspects of the disclosed technology include methods that include steps for receiving an event trigger at a conditional autonomous vehicle (AV) platform, mapping the event trigger onto a conditional output, and sending the conditional output to an autonomous vehicle (AV) associated with the event trigger, wherein the conditional output is configured to update a navigation instruction followed by the AV. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to techniques for providing destination recommendations and improving the user experience of autonomous vehicle riders using sentiment analysis. In some aspects, a process of the disclosed technology includes steps for receiving a ride request, at a computing system of an autonomous vehicle (AV), wherein the ride request comprises trip information that specifies a pick-up location associated with a user, navigating the AV to the pick-up location to provide ride service for the user, receiving in-cabin sensor data associated with the user, and analyzing the in-cabin sensor data to determine a sentiment score associated with the user. In some aspects, the process can further include steps for generating a destination recommendation based on the trip information and the sentiment score. Systems and computer-readable media are also provided.

Abstract: The subject disclosure relates to techniques for implementing conditional automation systems and in particular, for facilitating conditional automation in the context autonomous vehicle (AV) transportation services. Some aspects of the disclosed technology include methods that include steps for receiving an event trigger at a conditional autonomous vehicle (AV) platform, mapping the event trigger onto a conditional output, and sending the conditional output to an autonomous vehicle (AV) associated with the event trigger, wherein the conditional output is configured to update a navigation instruction followed by the AV. Systems and machine-readable media are also provided.