Abstract: Systems and methods for calibrating an image capture device for a materials handling vehicle. One embodiment of a system includes the image capture device and a vehicle computing device, where the vehicle computing device stores logic that when executed by a processor, causes the materials handling vehicle to determine a current location of the materials handling vehicle in a warehouse and determine a seed value associated with the image capture device, the seed value representing initial calibration parameters of the image capture device. In some embodiments, the logic causes the materials handling vehicle to capture image data in the warehouse, compare the image data with a site map, and determine a calibrated value for the image capture device from the comparison and the seed value.

Abstract: A method for coordinating path planning for one or more automated vehicles is described, including querying an online path planner for possible solutions for at least one executable task for each of the one or more automated vehicles, examining the results of the query, deciding a coordinated path plan for each vehicle, and communicating the coordinated path plan to a traffic manager, wherein the traffic manager ensures that the one or more automated vehicles perform each executable task according to the coordinated path plan.

Abstract: Systems and methods for calibrating an image capture device for a materials handling vehicle. One embodiment of a system includes the image capture device and a vehicle computing device, where the vehicle computing device stores logic that when executed by a processor, causes the materials handling vehicle to determine a current location of the materials handling vehicle in a warehouse and determine a seed value associated with the image capture device, the seed value representing initial calibration parameters of the image capture device. In some embodiments, the logic causes the materials handling vehicle to capture image data in the warehouse, compare the image data with a site map, and determine a calibrated value for the image capture device from the comparison and the seed value.

Abstract: According to the embodiments described herein, an industrial vehicle can include an Environmental Based Localization (EBL) sensor communicatively coupled to one or more processors. The EBL sensor can detect objects within a field of view. The one or more processors execute machine readable instructions to access a feature set and an occlusion set that are associated with an industrial facility. An occlusion path that intersects a detectable occlusion of the occlusion set and the sensor origin of the EBL sensor can be determined. A feature intersection of the occlusion path can be determined. A detectable feature can be classified as an occluded detectable feature based at least in part upon location of the feature intersection. The industrial vehicle can be navigated through the industrial facility utilizing the feature set exclusive of the occluded detectable feature.

Abstract: A method for coordinating path planning for one or more automated vehicles is described, including querying an online path planner for possible solutions for at least one executable task for each of the one or more automated vehicles, examining the results of the query, deciding a coordinated path plan for each vehicle, and communicating the coordinated path plan to a traffic manager, wherein the traffic manager ensures that the one or more automated vehicles perform each executable task according to the coordinated path plan.

Abstract: A method for coordinating path planning for one or more automated vehicles is described, including receiving an executable task for an automated vehicle, providing a multi-level graph comprising high-level nodes, connection nodes, roadmap nodes, and one or more local paths, constructing a grid corresponding with the multi-level graph, selecting grid squares corresponding to a start position, a goal position, or both if they are off the multi-level graph, determining joining paths from the start position, goal position, or both to the multi-level graph, constructing a solution set of roadmap graphs from the multi-level graph, selecting a coordinate path plan, communicating at least a portion of the coordinate path plan to each automated vehicle, and controlling the automated vehicle in accordance with the coordinate path plan.

Abstract: According to the embodiments described herein, an industrial vehicle can include an Environmental Based Localization (EBL) sensor communicatively coupled to one or more processors. The EBL sensor can detect objects within a field of view. The one or more processors execute machine readable instructions to access a feature set and an occlusion set that are associated with an industrial facility. An occlusion path that intersects a detectable occlusion of the occlusion set and the sensor origin of the EBL sensor can be determined. A feature intersection of the occlusion path can be determined. A detectable feature can be classified as an occluded detectable feature based at least in part upon location of the feature intersection. The industrial vehicle can be navigated through the industrial facility utilizing the feature set exclusive of the occluded detectable feature.

Abstract: A method for coordinating path planning for one or more automated vehicles is described, including querying an online path planner for possible solutions for at least one executable task for each of the one or more automated vehicles, examining the results of the query, deciding a coordinated path plan for each vehicle, and communicating the coordinated path plan to a traffic manager, wherein the traffic manager ensures that the one or more automated vehicles perform each executable task according to the coordinated path plan.