Crown Equipment Corporation

Ryan Michaels Estep

Timothy William Fanselow

Kashyap Chandrasekar

Jacob Jay Thomson

Justin Forbes Thode

Lucas Waltz

Callum Robinson

Lisa Wong

Trisha M Luthman

Justin Bennett

Mike Etienne Ciholas

Chad Lefeld

Ben Morelli

Amit Philip

According to the embodiments described herein, system and methods for determining relative pose of materials handling vehicles in an industrial environment may include utilizing ultra-wideband (UWB) antenna array systems respectively 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.

Systems and methods for relative pose determination and field enforcement of materials handling vehicles using ultra-wideband radio technology

Methods and systems for a materials handling vehicle comprising a processor and a sensor to record warehouse features. The processor is configured to generate and extract features from sensor data, create a factor graph (FG) including a sensor extrinsics node (e), and generate an initial vehicle node (v), initial sensor frame node (c), and initial sensor feature node (f) that comprises a selected extracted feature associated with c0 and v0 in an initial data association. A subsequent vehicle node (v) is generated based on an accumulated odometry amount, and a subsequent sensor frame node (c) is generated and associated with evand one of for a subsequent sensor feature node (f) in a subsequent data association. The FG is optimized to provide a sensor calibration output based on the data associations, and the vehicle is navigated based on the sensor calibration output.

Systems and methods for calibration of a pose of a sensor relative to a materials handling vehicle

Systems and methods for calibrating odometry of a materials handling vehicle. One embodiment of a method includes determining a current location of the materials handling vehicle, determining an odometry distance from the current location to a destination based on a calculation of a determined number of rotations of a wheel and a circumference of the wheel, and determining a positioning system distance from the current location to the destination. Some embodiments include comparing the odometry distance with data from the positioning system distance to calculate a scaling factor, applying the scaling factor to a fast alpha filter to achieve a fast filter result, and applying the scaling factor to a slow alpha filter to achieve a slow filter result. Similarly, some embodiments include applying the fast alpha filter to the scaling factor to smooth noise, calculating an updated odometry distance utilizing the scaling factor, and utilizing the updated odometry distance.

Systems and methods for materials handling vehicle odometry calibration

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. In still other embodiments, mapping vehicles comprising warehouse mapping tools are provided.

Warehouse mapping tools

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.

Vehicle positioning or navigation utilizing associated feature pairs

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.

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.

Growing community of inventors

Christchurch, New Zealand

Ryan Michaels Estep