Abstract: The disclosed technology provides solutions for determining, by an AV, whether a roadway is closed by determining and understanding the intent of the emergency vehicle. A method comprises navigating an autonomous vehicle (AV) along a roadway; receiving road data, by the AV, wherein the road data corresponds with at least one emergency vehicle; identifying the at least one emergency vehicle; determining a pose of the at least one emergency vehicle in relation to the roadway; and determining if the roadway is closed based on the pose of the emergency vehicle in relation to the roadway. Systems and machine-readable media are also provided.

Abstract: Systems and techniques are provided for determining a directionality of temporary traffic lanes. An example method can include detecting, based on sensor data from sensors of a vehicle, a temporary traffic lane on a road configured for use by traffic to navigate the road in lieu of a pre-existing traffic lane on the road, wherein a boundary of the temporary traffic lane is defined by objects on the road; detecting, based on the sensor data, cues indicating a directionality of the temporary traffic lane based on a first indication of a direction of travel of a vehicle traveling through the temporary traffic lane or an adjacent temporary traffic lane, a second indication of directionality provided by a human traffic controller in the road, and/or a third indication of directionality predicted based on objects on the road; and detecting the directionality of the temporary traffic lane based on the cues.

Abstract: The present disclosure provides a method comprising receiving by an autonomous vehicle (“AV”) service provider a request for an AV service from a user, wherein the request identifies an origin and a destination for the AV service; identifying a plurality of possible routes between the origin and the destination; and, for each one of the plurality of possible routes assigning to the one of the possible routes at least one of a comfort score, a confidence score, and a risk an risk score based on data associated with the one of the possible routes determining a price for the one of the possible routes based on a combination of the at least one of the comfort score, the confidence score, and the risk score assigned to the one of the possible routes.

Abstract: The present disclosure provides a method comprising receiving by an autonomous vehicle (“AV”) service provider a request for an AV service from a user, wherein the request identifies an origin and a destination for the AV service; identifying a plurality of possible routes between the origin and the destination; and, for each one of the plurality of possible routes assigning to the one of the possible routes at least one of a comfort score, a confidence score, and a risk an risk score based on data associated with the one of the possible routes determining a price for the one of the possible routes based on a combination of the at least one of the comfort score, the confidence score, and the risk score assigned to the one of the possible routes.

Abstract: The present disclosure provides a method comprising receiving by an autonomous vehicle (“AV”) service provider a request for an AV service from a user, wherein the request identifies an origin and a destination for the AV service; identifying a plurality of possible routes between the origin and the destination; and, for each one of the plurality of possible routes assigning to the one of the possible routes at least one of a comfort score, a confidence score, and a risk an risk score based on data associated with the one of the possible routes determining a price for the one of the possible routes based on a combination of the at least one of the comfort score, the confidence score, and the risk score assigned to the one of the possible routes.

Abstract: A map database stores data describing a set of connected roadways, each having one or more lanes. A navigation system selects a route for an autonomous vehicle (AV) by identifying a set of candidate lanes for routing the AV in the map database and retrieving at least one parameter of each candidate lane from the map database. The navigation system determines a performance metric for each of the candidate lanes, the performance metric for a given candidate lane based on the retrieved at least one parameter of the given candidate lane. The navigation system selects a candidate lane for routing the AV based at least in part on the determined performance metrics.