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.

A method comprising applying an object recognition pipeline to frames of video data. The object recognition pipeline provides a mask output of objects detected in the frames. The method includes fusing the mask output of the object recognition pipeline with depth data associated with the frames of video data to generate a map of object instances, including projecting the mask output to a model space for the map of object instances using a camera pose estimate and the depth data. An object instance in the map of object instances is defined using surface-distance metric values within a three-dimensional object volume, and has an object pose estimate indicating a transformation of the object instance to the model space. The object pose estimate and the camera pose estimate form nodes of a pose graph for the map of model instances.

A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.

A method and a system for controlling a handling machine, and a non-volatile computer readable recording medium are provided. The method includes: analyzing image data to obtain contour data corresponding to a target in the image data; analyzing the contour data to obtain feature data, where the feature data reflects the position of the target in the physical space; and generating control data based on the feature data, where the control data is adapted to control the handling machine to transport the target in response to the position of the target in the physical space.

Methods and systems are provided for predicting temporal Lidar labels with a single click. In some aspects, a process can include steps for receiving point cloud data based on a detected object from an autonomous vehicle, determining an object based on the point cloud data of the detected object and corresponding models related to the detected object, updating the models based on the point cloud data of the detected object and selected object labels, the selected object labels being based on 3D bounding boxes of the detected object, and providing the updated models to the autonomous vehicle for deployment. Systems and machine-readable media are also provided.

Systems and methods are provided for navigating based on behaviors of following vehicles. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first target vehicle and a second target vehicle in the environment of the host vehicle; analyze the plurality of images to determine a distance between the first target vehicle and the second target vehicle; and determine, from the plurality of images, a time to reach a boundary associated with one of the first target vehicle and the second target vehicle, wherein the determined time exceeds a first threshold and does not exceed a second threshold.

A method for perceiving a model of an environment, including: capturing a plurality of data while the robot moves within the environment, wherein: the plurality of data comprises at least a first data and a second data captured by a first sensor of a first sensor type and a second sensor of a second sensor type, respectively; the first sensor type is an imaging sensor; the second senor type captures movement data; an active source of illumination is positioned adjacent to the imaging sensor such that reflections of illumination light illuminating a path of the robot fall within a field of view of the imaging sensor; perceiving the model of the environment based on at least a portion of the plurality of data; storing the model of the environment in a memory; and transmitting the model of the environment to an application of a smartphone.

A moving target following method, which is executed by one or more processors of a robot that includes a camera and a sensor electrically coupled to the one or more processors, includes: performing a body detection to a body of a target based on images acquired by the camera to obtain a body detection result; performing a leg detection to legs of the target based on data acquired by die sensor to obtain a leg detection result; and fusing the body detection result and the leg detection result to obtain a fusion result, and controlling the robot to follow the target based on the fusion result.

A position detection device, configured to detect a position of a shaft that moves forward and backward in an axial direction, is provided with an excitation coil that generates an alternating magnetic field; a target which is fixed to the shaft and in which a magnetic flux of the alternating magnetic field is interlinked; and a detection coil in which the magnetic flux of the alternating magnetic field is interlinked, wherein the detection coil has a first portion and a second portion, where an induced voltage is generated by the magnetic flux of the alternating magnetic field being interlinked, and a connecting path connecting the first portion and the second portion. The first portion and the second portion respectively extend along the axial direction and the coil longitudinal direction parallel to the axial direction and at least a portion of each is aligned in an alignment direction perpendicular to the axial direction. The target includes a first target portion facing the first portion, and a second target portion facing the second portion. The induced voltage generated in the first portion changes according to a position of the first target portion relative to the first portion. The induced voltage generated in the second portion changes according to a position of the second target portion relative to the second portion.

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.