Abstract: Systems and methods for operating autonomous vehicles are described. An autonomous vehicle may detect strategy modes and/or actions of other vehicles in a local environment. The autonomous vehicle may then select a strategy mode for its operations based on the detected strategy modes and/or actions of other vehicles, and based on an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further select an action for its operations based on the selected strategy mode.

Abstract: Systems and methods for coordinating operations of a plurality of autonomous vehicles are described. An autonomous vehicle management system may receive information from the plurality of autonomous vehicles related to strategy modes, actions, and the environments. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle management system may then process the received information based on an operational goal for the system as a whole. The autonomous vehicle management system may then instruct modifications to operations of one or more of the plurality of autonomous vehicles to achieve the operational goal for the system.

Abstract: Systems and methods for determining strategy modes for autonomous vehicles are described. An autonomous vehicle may detect aspects of other vehicles and aspects of the environment using one or more sensors. The autonomous vehicle may then determine strategy modes of the other vehicles, and select a strategy mode for its own operation based on the determined strategy modes and an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further determine elements in the environment and topological constraints associated with the environment, and select the strategy mode for its own operation based thereon.

Abstract: Systems and methods for broadcasting strategy modes of autonomous vehicles are described. An autonomous vehicle may include one or more notification devices that broadcast a selected strategy mode for the autonomous vehicle. The selected strategy mode may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The notification devices may include visual, audio, or signal notification devices. In addition, the autonomous vehicle may broadcast other information associated with the vehicle, such as a position, a velocity, a priority, or an identity of the vehicle.

Abstract: Systems and methods for determining strategy modes for autonomous vehicles are described. An autonomous vehicle may detect aspects of other vehicles and aspects of the environment using one or more sensors. The autonomous vehicle may then determine strategy modes of the other vehicles, and select a strategy mode for its own operation based on the determined strategy modes and an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further determine elements in the environment and topological constraints associated with the environment, and select the strategy mode for its own operation based thereon.

Abstract: Systems and methods for broadcasting strategy modes of autonomous vehicles are described. An autonomous vehicle may include one or more notification devices that broadcast a selected strategy mode for the autonomous vehicle. The selected strategy mode may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The notification devices may include visual, audio, or signal notification devices. In addition, the autonomous vehicle may broadcast other information associated with the vehicle, such as a position, a velocity, a priority, or an identity of the vehicle.

Abstract: Systems and methods for coordinating operations of a plurality of autonomous vehicles are described. An autonomous vehicle management system may receive information from the plurality of autonomous vehicles related to strategy modes, actions, and the environments. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle management system may then process the received information based on an operational goal for the system as a whole. The autonomous vehicle management system may then instruct modifications to operations of one or more of the plurality of autonomous vehicles to achieve the operational goal for the system.

Abstract: Systems and methods for operating autonomous vehicles are described. An autonomous vehicle may detect strategy modes and/or actions of other vehicles in a local environment. The autonomous vehicle may then select a strategy mode for its operations based on the detected strategy modes and/or actions of other vehicles, and based on an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further select an action for its operations based on the selected strategy mode.

Abstract: Shapes and solids modeled by a 3-D computer graphics system have "intelligence", i.e., the shape typically includes a wide variety of characteristics in addition to geometric (e.g., size and positional) information. These additional characteristics permit a user to manipulate 3-D shapes intuitively using a graphical user interface providing "drag and drop" capabilities--reducing the number of factors the user must worry about, saving a lot of time and user frustration, and allowing even non-technical, unskilled users to rapidly and efficiently create impressive images. A component-based architecture may expose any of multiple, alternate representations of the same shape depending on the particular need or application to provide an "intelligent load" that is especially powerful and advantageous in remote interactive imaging applications (e.g., via the Internet) where data transfer and/or load times must be minimized.