Abstract: One variation of a method for customizing motion characteristics of an autonomous vehicle for a user includes: accessing a baseline emotional state of the user following entry of the user into the autonomous vehicle at a first time proximal a start of a trip; during a first segment of the trip, autonomously navigating toward a destination location according to a first motion planning parameter, accessing a second emotional state of the user at a second time, detecting degradation of sentiment of the user based on differences between the baseline and second emotional states; and correlating degradation of sentiment of the user with a navigational characteristic of the autonomous vehicle; modifying the first motion planning parameter of the autonomous vehicle to deviate from the navigational characteristic; and, during a second segment of the trip, autonomously navigating toward the destination location according to the revised motion planning parameter.

Abstract: One variation of a method for communicating state, intent, and context of an autonomous vehicle includes: at a first time, displaying a first icon representing a current state of a vehicle on a rear-facing visual display arranged on the vehicle; navigating toward an intersection; at a second time, detecting a state of the intersection ahead of the vehicle; rendering a second icon representing the state of the intersection at the second time on the rear-facing visual display; detecting a change in the state of the intersection at a third time succeeding the second time; selecting a next navigation action for the vehicle responsive to the change in the state of the intersection at the third time; prior to executing the next navigation action, rendering a third icon representing the next navigation action on the rear-facing visual display; and autonomously executing the next navigation action.

Abstract: One variation of a method for monitoring an interior state of an autonomous vehicle includes: at the autonomous vehicle, recording a pre-ride image of an interior of the autonomous vehicle prior to initiating a ride; following completion of the ride, recording a post-ride image of the interior of the autonomous vehicle; detecting a region of the post-ride image differing from the pre-ride image, the region of the post-ride image representing a change in the interior of the autonomous vehicle following occupancy of the autonomous vehicle by a user; classifying a type of an object depicted in the region of the post-ride image based on features extracted from the region of the post-ride image; and in response to classifying the object depicted in the region of the post-ride image as a personal item, serving a prompt to the user to retrieve the object from the autonomous vehicle.

Abstract: A method of planning a procedure to deploy an interventional instrument comprises receiving a model of an anatomic structure. The anatomic structure includes a plurality of passageways. The method further includes identifying a target structure in the model and receiving information about an operational capability of the interventional instrument within the plurality of passageways. The method further comprises identifying a planned deployment location for positioning a distal tip of the interventional instrument to perform the procedure on the target structure based upon the operational capability of the interventional instrument.

Abstract: One variation of a method for executing autonomous rideshare requests includes: following arrival of an autonomous vehicle proximal a pickup location specified in a rideshare request submitted by a user, setting a user arrival timer for a first duration and a depart timer for a second duration exceeding the first duration; serving a state of the user arrival timer to a mobile computing device affiliated with the user; rendering a state of the depart timer on an external display arranged on the autonomous vehicle; in response to failure of the user to arrive at the autonomous vehicle prior to expiration of the user arrival timer, departing from the pickup location without the user; and, in response to the user arriving at the autonomous vehicle prior to expiration of the user arrival timer, departing from the pickup location with the user prior to expiration of the delay timer.

Abstract: One variation of a method for influencing entities proximal a road surface includes, at an autonomous vehicle: over a first period of time, detecting a pedestrian proximal a road surface; predicting an initial path of the pedestrian an initial confidence score for the initial path of the pedestrian based on and motion of the pedestrian during the first period of time; in response to the initial confidence score falling below a threshold confidence, replaying an audio track audible to the pedestrian and calculating a revised path of the pedestrian and a revised confidence score for the revised path based on motion of the pedestrian following replay of the audio track; and autonomously navigating across the road surface according to a planned route in response to the revised path of the pedestrian falling outside of the planned route and the revised confidence score exceeding the threshold confidence.

Abstract: One variation of a method for communicating state, intent, and context of an autonomous vehicle includes: at a first time, displaying a first icon representing a current state of a vehicle on a rear-facing visual display arranged on the vehicle; navigating toward an intersection; at a second time, detecting a state of the intersection ahead of the vehicle; rendering a second icon representing the state of the intersection at the second time on the rear-facing visual display; detecting a change in the state of the intersection at a third time succeeding the second time; selecting a next navigation action for the vehicle responsive to the change in the state of the intersection at the third time; prior to executing the next navigation action, rendering a third icon representing the next navigation action on the rear-facing visual display; and autonomously executing the next navigation action.

Abstract: One variation of a method for influencing entities proximal a road surface includes, at an autonomous vehicle: over a first period of time, detecting a pedestrian proximal a road surface; predicting an initial path of the pedestrian an initial confidence score for the initial path of the pedestrian based on and motion of the pedestrian during the first period of time; in response to the initial confidence score falling below a threshold confidence, replaying an audio track audible to the pedestrian and calculating a revised path of the pedestrian and a revised confidence score for the revised path based on motion of the pedestrian following replay of the audio track; and autonomously navigating across the road surface according to a planned route in response to the revised path of the pedestrian falling outside of the planned route and the revised confidence score exceeding the threshold confidence.

Abstract: One variation of a method for determining a location of a user includes: at a mobile computing device, receiving from the user a request for pickup by a road vehicle; accessing an optical image recorded by the mobile computing device at approximately the first time; detecting a set of image features in the optical image; accessing an approximate location of the mobile computing device from a geospatial positioning system; accessing a set of known features associated with geographic locations within a threshold distance of the approximate location; in response to detecting correspondence between a first image feature in the set of image features and a first known feature in the set of known features, extrapolating an action geographic location of the mobile computing device based on a particular geographic location associated with the particular known feature; and dispatching an autonomous vehicle to proximal the actual geographic location.

Abstract: One variation of a method for influencing entities proximal a road surface includes, at an autonomous vehicle: over a first period of time, detecting a pedestrian proximal a road surface; predicting an initial path of the pedestrian an initial confidence score for the initial path of the pedestrian based on and motion of the pedestrian during the first period of time; in response to the initial confidence score falling below a threshold confidence, replaying an audio track audible to the pedestrian and calculating a revised path of the pedestrian and a revised confidence score for the revised path based on motion of the pedestrian following replay of the audio track; and autonomously navigating across the road surface according to a planned route in response to the revised path of the pedestrian falling outside of the planned route and the revised confidence score exceeding the threshold confidence.

Abstract: One variation of a method for communicating state, intent, and context of an autonomous vehicle includes: at a first time, displaying a first icon representing a current state of a vehicle on a rear-facing visual display arranged on the vehicle; navigating toward an intersection; at a second time, detecting a state of the intersection ahead of the vehicle; rendering a second icon representing the state of the intersection at the second time on the rear-facing visual display; detecting a change in the state of the intersection at a third time succeeding the second time; selecting a next navigation action for the vehicle responsive to the change in the state of the intersection at the third time; prior to executing the next navigation action, rendering a third icon representing the next navigation action on the rear-facing visual display; and autonomously executing the next navigation action.

Abstract: A method of guiding an interventional instrument within a patient anatomy comprises processing a target location within the patient anatomy and receiving a position for a tip portion of an interventional instrument at a first location within the patient anatomy. The method also comprises determining a three-dimensional distance between the first location and the target location and displaying a symbol representing the target location and a symbol representing the tip portion of the interventional instrument.

Abstract: An anatomical probe system comprises an elongated flexible body and an elongated probe extending within the flexible body. The probe has a distal end and includes an outer wall defining a channel. The probe also includes an access port in the outer wall in communication with the channel. The access port is spaced proximally of the distal end.

Abstract: A method of planning a procedure to deploy an interventional instrument comprises receiving a model of an anatomic structure. The anatomic structure includes a plurality of passageways. The method further includes identifying a target structure in the model and receiving information about an operational capability of the interventional instrument within the plurality of passageways. The method further comprises identifying a planned deployment location for positioning a distal tip of the interventional instrument to perform the procedure on the target structure based upon the operational capability of the interventional instrument.