Abstract: Techniques for nonlinear representations for vector objects are described that support construction of a nonlinear vector graph to represent a vector object. In an implementation, a user input is received including a plurality of points and at least one primitive. A content processing system then generates a vector object by constructing a nonlinear vector graph that specifies a nonlinear connection of the plurality of points with the at least one primitive. In some examples, the vector object is edited by applying an edit to the nonlinear vector graph. Once generated, the content processing system then outputs the vector object for display, e.g., in a user interface.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, based at least in part on a pickup type of the order. The method also can include determining real-time availabilities of first time slots at the primary store and real-time availabilities of second time slots at the one or more secondary stores. The method additionally can include generating a list of available time slots comprising at least a portion of the first time slots at the primary store and at least a portion of the second time slots at the one or more secondary stores, based at least in part on the real-time availabilities of the first time slots at the primary store and the real-time availabilities of the second time slots at the one or more secondary stores.

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: Systems and methods disclosed herein involve monitoring an interior state of a vehicle. A pre-ride image of an interior is recorded prior to initiating a ride A post-ride image of the interior is recorded following completion of the ride. A region of the post-ride image differing from the pre-ride image is detected, with the region of the post-ride image representing a change in the interior. A type of an object depicted in the region of the post-ride image is classified based on features extracted from the region of the post-ride image. In response to classifying the object depicted in the region of the post-ride image as a personal item, a prompt is served to the user to retrieve the object.

Abstract: One variation of a method for identifying a user entering an autonomous vehicle includes: receiving a ride request from the user, the ride request specifying a pickup location; at the autonomous vehicle, autonomously navigating to the pickup location, scanning a field near the autonomous vehicle for a human approaching the autonomous vehicle, and, in response to detecting the human proximal the autonomous vehicle, recording an image of the human; detecting a face of the human in the image; accessing a faceprint characterizing facial features of the user; and, in response to the face of the human detected in the image exhibiting features represented in the faceprint, identifying the human as the user and triggering a door of the autonomous vehicle to unlock for the user.

Abstract: One variation of a method for identifying a user entering an autonomous vehicle includes: receiving a ride request from the user, the ride request specifying a pickup location; at the autonomous vehicle, autonomously navigating to the pickup location, scanning a field near the autonomous vehicle for a human approaching the autonomous vehicle, and, in response to detecting the human proximal the autonomous vehicle, recording an image of the human; detecting a face of the human in the image; accessing a faceprint characterizing facial features of the user; and, in response to the face of the human detected in the image exhibiting features represented in the faceprint, identifying the human as the user and triggering a door of the autonomous vehicle to unlock for the user.

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 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 and apparatus for financial planning and control are disclosed that are capable of real-time response to changing market conditions. The disclosed method provides financial management and control tools that allow an organization to rapidly (on weekly or monthly frequencies, for example) realign financial resources throughout the organization in response to changing market and business conditions. The method links critical external information directly to company decision-making activities to allow a business to better align resources to capitalize upon opportunities or minimize the impact of adverse business conditions. The disclosed embodiment of the invention comprises several modules, including the TopLine Planner™ module, BizPlan™ module, and SpendCap Manager™ module. The TopLine Planner™ module receives inputs from and provides information to sales, marketing and manufacturing, and is coupled to the BizPlan™ module.

Abstract: A method and apparatus for financial planning and control are disclosed that are capable of real-time response to changing market conditions. The disclosed method provides financial management and control tools that allow an organization to rapidly (on weekly or monthly frequencies, for example) realign financial resources throughout the organization in response to changing market and business conditions. The method links critical external information directly to company decision-making activities to allow a business to better align resources to capitalize upon opportunities or minimize the impact of adverse business conditions. The disclosed embodiment of the invention comprises several modules, including the TopLine Planner™ module, BizPlan™ module, and SpendCap Manager™ module. The TopLine Planner™ module receives inputs from and provides information to sales, marketing and manufacturing, and is coupled to the BizPlan™ module.