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: 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 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.