Abstract: The illustrative embodiments provide a method and apparatus for controlling and coordinating multiple vehicles. In one illustrative embodiment, machine behaviors are assigned to multiple vehicles performing a task. The vehicles are coordinated to perform the task using the assigned behaviors and a number of signals received from other vehicles and the environment during performance of the task. In another illustrative embodiment, a role is identified for each vehicle in a group of vehicles. A number of machine behaviors are assigned to each vehicle depending upon the identified role for the vehicle. The machine behaviors are selected from coordinating machine behaviors stored in a behavior library. Each vehicle is then coordinated to perform the task according to the role and machine behaviors assigned.

Abstract: The illustrative embodiments provide a method for processing sensor data and controlling the movement of a vehicle. An operating environment around the vehicle is identified and sensor data is selected from a set of sensors. A dynamic condition is identified using a plurality of different types of sensors on the vehicle. In response to the dynamic condition being identified, the movement of the vehicle is controlled. Sensor data for a plurality of vehicles is managed by receiving sensor data at the plurality of vehicles, each with a plurality of sensors. In response to a selected vehicle within the plurality of vehicles being unable to obtain needed sensor data, collected sensor data from a number of other vehicles in the plurality of vehicles can be obtained to form alternate sensor data used to control the vehicle.

Abstract: The illustrative embodiments provide an apparatus for controlling a vehicle. In an illustrative embodiment, a vehicle is comprised of a machine controller, a steering system, a propulsion system, a braking system, a sensor system, and a knowledge base used by the machine controller. The machine controller identifies a dynamic condition and sends commands to the steering system, the propulsion system, and the braking system to move the vehicle.

Abstract: The illustrative embodiments provide a method for processing sensor data and controlling the movement of a vehicle. In one illustrative embodiment, a vehicle having a plurality of sensors attempts to receive sensor data. In response to an inability of the vehicle to obtain needed sensor data, collected sensor data is requested from a plurality of other vehicles to form alternate sensor data. The alternate sensor data is received and the vehicle is controlled using the alternate sensor data. In another illustrative embodiment, a request is received at a first vehicle for sensor data from a different vehicle. Sensor data is collected from a plurality of sensors at the first vehicle. The sensor data is then sent to the different vehicle.

Abstract: The illustrative embodiments provide a method and apparatus for controlling movement of a vehicle. Movement of an operator located at a side of the vehicle is identified with a plurality of sensors located in the vehicle and the vehicle is moved in a path that maintains the operator at the side of the vehicle while the operator is moving.

Abstract: The illustrative embodiments provide a method and apparatus for controlling movement of a vehicle. User input selecting a path for the vehicle is received from an operator. The vehicle responds to the user input by moving along the selected path in a manner that maintains the operator on a side of the vehicle. The illustrative embodiments further provide a method and apparatus for improved machine control. The vehicle receives a power-up command, instructions to execute a planned path, and information identifying a leader. The leader is an operator. The vehicle then executes the planned path using the information identifying the leader in order to follow a path of the leader. The vehicle moves along the path in a manner that maintains the leader in a position proximate to a side of the vehicle.

Abstract: The illustrative embodiments provide a computer program product for processing sensor data and controlling the movement of a vehicle. In an illustrative embodiment, an operating environment around the vehicle is identified and sensor data is selected from a set of sensors. A dynamic condition is identified using a plurality of different types of sensors on the vehicle. In response to the dynamic condition being identified, the movement of the vehicle is controlled. In another illustrative embodiment, an environment around the vehicle is identified to form an operating environment. Sensor data is selected from a set of sensors in a plurality of redundant sensors based on the operating environment.

Abstract: The illustrative embodiments provide an apparatus for processing sensor data and controlling the movement of a vehicle. In an illustrative embodiment, an operating environment around the vehicle is identified and sensor data is selected from a set of sensors. The movement of the vehicle is controlled based on the operating environment identified. In another illustrative embodiment, a sensor system has some sensors that are more accurate in a particular environment than other sensors. A dynamic condition is identified by the sensor system and commands are sent to the steering system, the propulsion system, and the braking system to move the vehicle using the sensor data detected by the sensor system. The environment is identified using the plurality of different types of sensors on the vehicle.

Abstract: The illustrative embodiments provide a computer program product for controlling a vehicle. In an illustrative embodiment, a computer program product is comprised of a computer recordable media having computer usable program code for identifying a dynamic condition. When the dynamic condition is identified, computer usable program code using a knowledge base controls the vehicle.

Abstract: The illustrative embodiments provide a method and apparatus for localizing an operator using a garment, a number of localization devices capable of being detected by an autonomous vehicle, and a controller capable of sending a control signal to the autonomous vehicle.

Abstract: The illustrative embodiments provide a method for controlling a vehicle. In an illustrative embodiment, a dynamic condition is identified and the vehicle is controlled using a knowledge base comprising a fixed knowledge base and a learned knowledge base.

Abstract: A sensor node for deployment in association with an earth surface has a biodegradable plastic housing, an electronic circuit board within the housing, and at least one battery for providing electrical energy to the circuit board. The circuit board has a non-toxic substrate and at least one lead-free solder element. Each battery is a non-toxic battery.

Abstract: A mobile station for an unmanned vehicle comprises a vehicular storage area for storing a vehicle during transit or at rest. A first wireless transceiver communicates a status or command between the vehicle and the mobile station during at least one of vehicular deployment and rest. A station controller manages a management plan of the vehicle comprising at least one of retooling the vehicle, loading a payload on the vehicle, and recharging or refueling of the vehicle.

Abstract: A mobile station for an unmanned vehicle comprises a vehicular storage area for storing a vehicle during transit or at rest. A first wireless transceiver communicates a status or command between the vehicle and the mobile station during at least one of vehicular deployment and rest. A station controller manages a management plan of the vehicle comprising at least one of retooling the vehicle, loading a payload on the vehicle, and recharging or refueling of the vehicle.

Abstract: A mobile station for an unmanned vehicle comprises a vehicular storage area for storing a vehicle during transit or at rest. A first wireless transceiver communicates a status or command between the vehicle and the mobile station during at least one of vehicular deployment and rest. A station controller manages a management plan of the vehicle comprising at least one of retooling the vehicle, loading a payload on the vehicle, and recharging or refueling of the vehicle.

Abstract: The present invention relates to a system and method for intelligent computer-implemented transmittal of data, the system determining and using the best available method of transmission for the data In determining the best available transmission method, the system considers at least one of available transmission methods at a particular site, transmission cost, data type, and data security.

Abstract: A system and method for estimating agricultural parameters for growing crops is well suited for promoting efficient utilization of agricultural inputs (e.g., water consumption). Sensors collect data via one or more vehicles equipped with location-determining receivers. A transmitter transmits the collected environmental data to a data processing system. The data processing system applies the collected environmental data to an agronomic model for determining an agricultural management parameter. A prescription is made available for application of an agricultural input (e.g., water) to a crop in a particular location consistent with the collected environmental data and the agronomic model.

Abstract: A method and system for managing fleet health of vehicles comprises gathering environmental data for potential mission locations. A data processing system collects vehicle data, including historical use data and maintenance data associated with corresponding vehicular components of vehicles within a fleet. A mission planner establishes a list of candidate missions for the fleet of vehicles. A stress module assigns a stress severity indicator to the established candidate missions based on the environmental data. The mission planner matches vehicles to corresponding missions based on the collected vehicle data and the stress severity indicator such that the matched vehicles are likely to complete the missions with a desired degree of reliability.

Abstract: A method and system monitor a communications network, e.g., a controller area network (CAN), and more specifically, an in-vehicle communications network, by maintaining a count of each type of error code and a histogram of all network messages seen by each of the controllers during a measurement period; and by determining a bus health index of the communication bus based upon a percentage of a given type of error to the total count of all errors during a measurement period. An individual controller or controller area network bus segment can be indicated as having a communications problem as a result of the health index.

Abstract: A position determining system for a vehicle comprises an imaging unit for collecting image data. A wireless device reads or interrogates a radio frequency identification tag. An identification module determines whether the collected image data contains a visual landmark. A confirmation module determines whether the identified visual landmark is associated with a corresponding radio frequency identification tag having a particular tag identifier. A range finder or distance estimator determines a position offset of the vehicle with respect to the identified visual landmark. A data processor determines a vehicular position of the vehicle based on the determined position offset and a stored reference position associated with at least one of the visual landmark and the radio frequency identification tag.