Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

Abstract: A method includes storing representations of a passengers and fleet vehicles. The method includes generating a graph representation of a geographic map that includes requested pick-up locations and drop-off locations for the passengers and generating a state graph representation of the passengers and the fleet vehicles. The state graph representation includes a plurality of nodes connected by edges. Each of the plurality of nodes represents a candidate state of the passengers and the fleet vehicles. A respective edge of the state graph representation represents an action of a respective vehicle picking up or dropping off a passenger. The respective edge has a cost that is based at least in part on traversal of the graph representation of the geographic map. The method further includes using the state graph representation to generate a set of routes and route the fleet vehicles in accordance with the generated set of routes.

Abstract: A method includes generating a cost model for routing an autonomous vehicle. The cost model includes, for an intersection, a plurality of costs for distinct maneuvers through the intersection. The cost model is represented as a graph of nodes and edges, the edges having respective edge weights that represent costs in the cost model. Each edge of the representation of the intersection represents a respective maneuver through the intersection. The method further includes, in response to a request to route an autonomous vehicle: selecting a route in accordance with the cost model, wherein the selecting is based at least in part on one of the plurality of costs for the distinct maneuvers through the intersection; and routing the autonomous vehicle in accordance with the selected route.

Abstract: An interactive multimedia system and method for audio dubbing of video is described whereby a number of participants may create new audio for a video clip. The video clip may be selected from among a group of pre-existing video clips. A director may act to determine the parameters of the audio recording process and one or more actors at remote locations from the director may record the audio portion to thereby create the new combined audio and video.