Abstract: Methods and apparatuses for using at least one movable, pre-positioned object as a landmark to localize an industrial vehicle are described. The method includes placing at least one movable, pre-positioned object within a physical environment, identifying features from the pre-positioned object, and determining an industrial vehicle pose relative to the movable, pre-positioned object.

Abstract: A method and apparatus for using unique landmarks to position industrial vehicles during start-up. In one embodiment, the method designates pre-positioned objects as unique landmarks to position an industrial vehicle at start-up. The method includes identifying a start-up scenario from a plurality of sensor data wherein the start-up scenario may be one of a unique marker start-up or a pre-positioned object start-up. In response to the start-up scenario, locating at least one unique marker or at least one pre-positioned object within a physical environment, wherein the unique marker or pre-positioned object corresponds with a sub-area of the physical environment, and determining industrial vehicle pose in response to the identity of the unique marker or pre-positioned object.

Abstract: A method and apparatus for facilitating map data processing for industrial vehicle navigation is described. In one embodiment, the method of partitioning map data for industrial vehicle navigation includes segmenting map data associated with a physical environment into a plurality of sub area maps, identifying a sub-area map that corresponds with a current vehicle location and navigating an industrial vehicle using the identified sub area map.

Abstract: A method and apparatus for sharing map data between industrial vehicles in a physical environment is described. In one embodiments, the method includes processing local map data associated with a plurality of industrial vehicles, wherein the local map data comprises feature information generated by the plurality of industrial vehicles regarding features observed by industrial vehicles in the plurality of vehicles; combining the feature information associated with local map data to generate global map data for the physical environment; and navigating an industrial vehicle of the plurality of industrial vehicles using at least a portion of the global map data.

Abstract: A method and apparatus for automatically calibrating vehicle parameters is described. In one embodiment, the method includes measuring a parameter value during vehicle operation; comparing the measured parameter value to an actual parameter value to identify at least one vehicle parameter bias as an actual measurement error; and modifying at least one vehicle parameter based on the at least one vehicle parameter bias.

Abstract: A method and apparatus for providing accurate localization for an industrial vehicle is described; including processing at least one sensor input message from a plurality of sensor devices, wherein the at least one sensor input message includes information regarding observed environmental features; determining position measurements associated with the industrial vehicle in response to at least one sensor input message, wherein the plurality of sensor devices comprises a two-dimensional laser scanner, and at least one other sensor device selected from an odometer, an ultrasonic sensor, a compass, an accelerometer, a gyroscope, an inertial measurement unit, or an imaging sensor; and updating a vehicle state using the position measurements.

Abstract: A method and apparatus for providing accurate localization at an industrial vehicle is described. In one embodiment, the method includes processing at least one sensor input message from a plurality of sensor devices, wherein the at least one sensor input message comprises information regarding environmental features, determining pose measurements associated with the industrial vehicle in response to each acquisition time of the at least one sensor input message and updating map data with the determined pose measurements.

Abstract: A method and apparatus for virtualizing industrial vehicles to automate task execution in a physical environment is described. In one embodiment, the method includes determining input parameters for controlling vehicle hardware components, wherein the vehicle hardware components comprise actuators that are used to control hardware component operations, generating mappings between the input parameters and the hardware component operations, wherein each of the input parameters is applied to an actuator to perform an corresponding hardware component operation, correlating the mappings with vehicle commands to produce abstraction information and executing at least one task comprising various ones of the vehicle commands using the abstraction information.

Abstract: A method and apparatus for sensing object load engagement, transportation and disengagement by automated vehicles is described. In one embodiment, the method includes processing data that is transmitted from a sensor array comprising at least one device for analyzing a plurality of objects that are placed throughout a physical environment, executing an object recognition process on the sensor array data using model information to identify at least one object, determining orientation information associated with the at least one object, wherein the orientation information is relative to the lift carriage and positioning at least one lifting element based on the orientation information.