Abstract: According to the embodiments described herein, system and methods for determining relative pose of materials handling vehicles in an industrial environment may include utilizing UWB antenna array systems respective mounted on the materials handling vehicles to send mutually received information to determine the relative pose between the vehicles, determining one or more fields of each materials handling vehicle, and determining one or more overlapping fields between the materials handling vehicles based on the determined one or more fields and the relative pose. A vehicle control may be implemented based on the determined relative pose and the overlapping fields as a field enforcement, such as a control action to avoid collision between the vehicles.

Abstract: According to the embodiments described herein, system and methods for determining relative pose of materials handling vehicles in an industrial environment may include utilizing UWB antenna array systems respective mounted on the materials handling vehicles to send mutually received information to determine the relative pose between the vehicles, determining one or more fields of each materials handling vehicle, and determining one or more overlapping fields between the materials handling vehicles based on the determined one or more fields and the relative pose. A vehicle control may be implemented based on the determined relative pose and the overlapping fields as a field enforcement, such as a control action to avoid collision between the vehicles.

Abstract: Warehouse mapping tools according to the present disclosure comprise a mobile mapping interface and a mobile computing device in communication with the mobile mapping interface. The mobile computing device can be configured to access waypoint data comprising location coordinates of a set of mapping waypoints, present graphical representations of the set of mapping waypoints at discrete locations in a representation of a warehouse environment, access mobile mapping data representing an elapsed travel path, access error metric data, present a graphical representation of the error metric data, and indicate a validation state of the elapsed travel path segment. In other embodiments, a warehouse mapping tool comprises a remote computer that is configured to communicate with a mapping vehicle and that can be used to facilitate navigation, localization, or odometry correction with respect to an industrial vehicle in the warehouse.

Abstract: A method for vehicle positioning or navigation utilizing associated feature pairs may include creating a plurality of associated feature pairs by retrieving an initial set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each pair from the UV space information with pairs from each of the plurality of three-dimensional global feature points of the industrial facility map, calculating a best estimate poses from calculated vehicle poses of the associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position and setting a seed position as the current localized position. The navigation of the materials handling vehicle is tracked and/or navigated along the inventory transit surface navigate in at least a partially automated manner utilizing the current localized position.

Abstract: Warehouse mapping tools according to the present disclosure comprise a mobile mapping interface and a mobile computing device in communication with the mobile mapping interface. The mobile computing device can be configured to access waypoint data comprising location coordinates of a set of mapping waypoints, present graphical representations of the set of mapping waypoints at discrete locations in a representation of a warehouse environment, access mobile mapping data representing an elapsed travel path, access error metric data, present a graphical representation of the error metric data, and indicate a validation state of the elapsed travel path segment. In other embodiments, a warehouse mapping tool comprises a remote computer that is configured to communicate with a mapping vehicle and that can be used to facilitate navigation, localization, or odometry correction with respect to an industrial vehicle in the warehouse.

Abstract: Warehouse mapping tools according to the present disclosure comprise a mobile mapping interface and a mobile computing device in communication with the mobile mapping interface. The mobile computing device can be configured to access waypoint data comprising location coordinates of a set of mapping waypoints, present graphical representations of the set of mapping waypoints at discrete locations in a representation of a warehouse environment, access mobile mapping data representing an elapsed travel path, access error metric data, present a graphical representation of the error metric data, and indicate a validation state of the elapsed travel path segment. In other embodiments, a warehouse mapping tool comprises a remote computer that is configured to communicate with a mapping vehicle and that can be used to facilitate navigation, localization, or odometry correction with respect to an industrial vehicle in the warehouse.

Abstract: Warehouse mapping tools according to the present disclosure comprise a mobile mapping interface and a mobile computing device in communication with the mobile mapping interface. The mobile computing device can be configured to access waypoint data comprising location coordinates of a set of mapping waypoints, present graphical representations of the set of mapping waypoints at discrete locations in a representation of a warehouse environment, access mobile mapping data representing an elapsed travel path, access error metric data, present a graphical representation of the error metric data, and indicate a validation state of the elapsed travel path segment. In other embodiments, a warehouse mapping tool comprises a remote computer that is configured to communicate with a mapping vehicle and that can be used to facilitate navigation, localization, or odometry correction with respect to an industrial vehicle in the warehouse.

Abstract: According to the embodiments described herein, a method for vehicle positioning or navigation utilizing associated feature pairs may include creating a plurality of associated feature pairs by retrieving an initial set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each pair from the UV space information with pairs from each of the plurality of three-dimensional global feature points of the industrial facility map, calculating a best estimate poses from calculated vehicle poses of the associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position and setting a seed position as the current localized position. The navigation of the materials handling vehicle is tracked and/or navigated along the inventory transit surface navigate in at least a partially automated manner utilizing the current localized position.

Abstract: According to the embodiments described herein, a method for vehicle positioning or navigation utilizing associated feature pairs may include creating a plurality of associated feature pairs by retrieving an initial set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each pair from the UV space information with pairs from each of the plurality of three-dimensional global feature points of the industrial facility map, calculating a best estimate poses from calculated vehicle poses of the associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position and setting a seed position as the current localized position. The navigation of the materials handling vehicle is tracked and/or navigated along the inventory transit surface navigate in at least a partially automated manner utilizing the current localized position.

Abstract: According to the embodiments described herein, a method for lost vehicle recovery utilizing associated feature pairs may include, for a materials handling vehicle determined to be lost, creating a plurality of associated feature pairs by retrieving a subsequent set of camera data from a camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each formed pair with pairs from each of a plurality of three-dimensional global feature points of an industrial facility map. The method may further include calculating a best estimate pose from calculated vehicle poses of the associated feature pairs based on a highest-rated pair of the plurality of associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position, updating the seed position as the current localized position, and operating the materials handling vehicle utilizing the updated seed position.

Abstract: According to the embodiments described herein, a method for lost vehicle recovery utilizing associated feature pairs may include, for a materials handling vehicle determined to be lost, creating a plurality of associated feature pairs by retrieving a subsequent set of camera data from a camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each formed pair with pairs from each of a plurality of three-dimensional global feature points of an industrial facility map. The method may further include calculating a best estimate pose from calculated vehicle poses of the associated feature pairs based on a highest-rated pair of the plurality of associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position, updating the seed position as the current localized position, and operating the materials handling vehicle utilizing the updated seed position.

Abstract: According to the embodiments described herein, a method for vehicle positioning or navigation utilizing associated feature pairs may include creating a plurality of associated feature pairs by retrieving an initial set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating each pair from the UV space information with pairs from each of the plurality of three-dimensional global feature points of the industrial facility map, calculating a best estimate poses from calculated vehicle poses of the associated feature pairs, using an accumulated odometry to update the best estimate pose to a current localized position and setting a seed position as the current localized position. The navigation of the materials handling vehicle is tracked and/or navigated along the inventory transit surface navigate in at least a partially automated manner utilizing the current localized position.