Abstract: An autonomous mobile device (AMD) may move around a physical space performing various tasks. Most of the sensors on the AMD may be directed towards the front and sides of the AMD to facilitate autonomous navigation, interactions with users, and so forth. The AMD may return to a dock to recharge batteries, replenish consumables, transfer payload, and so forth. The AMD uses the sensors to approach the vicinity of the dock. Once in the vicinity, the AMD turns around and backs into the dock. This orientation allows the AMD to continue to operate the forward-facing sensors and interact with users while docked. The AMD uses inductive sensors to detect metallic targets located at particular positions in the dock. Output from the inductive sensors provides information about the relative position of the AMD with respect to the dock and is used to steer the AMD into a desired docked position.

Abstract: A system for determining a travel path for an autonomous vehicle (“AV”) to travel to a target while avoiding objects (i.e., obstacles) without the use of an imaging system is provided. An object sense and avoid (“OSA”) system detects objects in an object field that is adjacent to the AV and dynamically generates, as the AV travels, a travel path to the target to avoid the objects. The OSA system repeatedly uses sensors to collect sensor data of any objects in the object field. An object detection system then detects the objects and determines their locations based on triangulating ranges to an object as indicated by different sensors. The path planner system then plans a next travel direction for the AV to avoid the detected objects while seeking to minimize the distance traveled. The OSA system then instructs the AV to travel in the travel direction.

Abstract: Motion control systems and methods are provided in a vehicle. In one embodiment, a motion control system includes a controller. The controller is configured to: receive target trajectory data associated with an upcoming trajectory of the autonomous vehicle; determine a yaw rate reference and a relative heading reference associated with the upcoming target trajectory based on a numerical integration of the target trajectory data; and control a trajectory of the autonomous vehicle based on the yaw rate reference and the relative heading reference.

Abstract: An automatic mode resume system for a mobile machine and a method for resuming a job performed on a job site by a mobile machine is disclosed. The method may include: storing an interrupted status of the job being performed by the mobile machine upon interruption of the job for the job site; displaying multiple job sites on a display of the machine, each job site including a stored interrupted location and resume location; receiving a selection of the job site from a user input; displaying the interruption location and resume location for the selected job site on the display; and conditioning a resuming of the job in an auto mode of the machine based on whether the machine is positioned adjacent the interruption location or resume location at the selected job site.

Abstract: A method for determining implement load characteristics of a load carrying mobile machine includes receiving at least pressure data and position data associated with a payload received by the implement. The method also includes determining a locational value associated with the payload within the implement. The method further includes updating the locational value based on movement of the payload in the implement, the updated locational value being based at least on the pressure data, the position data, and predetermined physical parameters of the machine. The method further includes using the updated locational value to determine operational parameters of the machine.

Abstract: Methods, systems, and non-transitory computer readable media configured to perform operations comprise determining, by a computing system, speeds and stations of a plurality of leading vehicles traveling ahead of an ego vehicle; calculating, by the computing system, a coasting viability factor based on the speeds and stations of the plurality of leading vehicles and a speed and station of the ego vehicle; comparing, by the computing system, the coasting viability factor to a coasting viability threshold; and determining, by the computing system, whether the ego vehicle should coast based on the comparing.

Abstract: Controller and control method for improving operability at a time when a brake force that is retained in hill-hold control is reduced. A control section for executing the hill-hold control that retains the brake force on an inclined road surface is provided. The control section cancels retention of the brake force in the case where it is determined on the basis of a detection signal of a first detection mechanism that a first operation section for operating a brake mechanism is operated when the brake force is retained in the hill-hold control.

Abstract: A computing system can receive, in a vehicle, moving object information is determined by processing lidar sensor data acquired by a stationary lidar sensor. The moving object information can be determined using typicality and eccentricity data analysis (TEDA) on the lidar sensor data. The vehicle can be operated based on the moving object information.

Abstract: A method for calibrating a height control system for an implement of an agricultural work vehicle can include providing an input signal to the height control system to adjust a height of the implement relative to the ground surface; monitoring the height of the implement relative to the ground surface; adjusting at least one gain of the height control system; and determining a maximum stability gain of the height control system based on the at least one gain and the monitored height. The maximum stability gain can correspond with a stability point of the height control system at which the height control system transitions from stable to unstable. The method can include setting gain(s) of the height control system based on the maximum stability gain.

Abstract: A lidar system is described herein. The lidar system includes a transmitter that is configured to emit a frequency-modulated lidar signal. The lidar system further includes processing circuitry that is configured to compute a distance between the lidar system and an object based upon the frequency-modulated lidar signal, the processing circuitry configured to compute the distance with a first resolution when the distance is at or beneath a predefined threshold, the processing circuitry configured to compute the distance with a second resolution when the distance is above the predefined threshold, wherein the first resolution is different from the second resolution.

Abstract: Systems and methods for transportation management described herein are capable of providing a recommendation to a user on a mode of transportation to travel from a start location to a destination location. The systems and methods may the determine a recommended mode of transportation based on user preferences obtained from a user profile and energy cost associated with each of available modes of transportation to travel from the start location to the destination location. The systems and methods then transmits a recommended mode of transportation along with a recommended route to travel from the start location to the destination location on a graphical user interface of a user device of the user.

Abstract: A method for processing autonomous driving simulation data. The method includes: determining a type of a message transmitted between a simulation system and an auto driving system (ADS); determining a data acquisition mode based on the type of the message; obtaining a data stream transmitted between the simulation system and the ADS based on the data acquisition mode; and determining performance of the ADS based on the data stream.

Abstract: The present technology is effective to cause at least one processor to collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor, identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident, send the sensor data to a remote computing system, and receive, in response to the sending of the sensor data that is indicative of the impact incident, routing instructions from the remote computing system.

Abstract: A system for assisting in aligning a vehicle for hitching with a trailer includes an imager outputting image data of a field of view to the rear of the vehicle and a controller identifying at least one of a trailer or a coupler of the trailer within the image data. The controller further determines that the at least one of the trailer or the coupler is outside of a specified area relative to the vehicle and outputs an instruction for movement of the vehicle determined to position the one of the trailer or the coupler within the specified area. Upon determining that the at least one of the coupler and the trailer is within the specified area, the coupler outputs a steering signal to the vehicle to cause the vehicle to steer to align a hitch ball of the vehicle with the coupler.

Abstract: An approach is disclosed for directing an aircraft. A first yoke is connected to a second yoke by a connection element where a first input force applied to the first yoke is added to a second input force applied to the second yoke to form a resulting force and where the resulting force is applied to an aircraft control surface used for directing the aircraft. When a difference between the first input force and the second input force exceeds a predetermined value, the second yoke is disconnect preventing the second input force from contributing to the resulting force.

Abstract: Systems and methods for training machine-learned models are provided. A method can include receiving a rasterized image associated with a training object and generating a predicted trajectory of the training object by inputting the rasterized image into a first machine-learned model. The method can include converting the predicted trajectory into a rasterized trajectory that spatially corresponds to the rasterized image. The method can include utilizing a second machine-learned model to determine an accuracy of the predicted trajectory based on the rasterized trajectory. The method can include determining an overall loss for the first machine-learned model based on the accuracy of the predictive trajectory as determined by the second machine-learned model. The method can include training the first machine-learned model by minimizing the overall loss for the first machine-learned model.

Abstract: A device for detecting a rotary angle used for an excavator. The device can include: a synchronous belt, arranged around a rotating shaft of a slewing mechanism of the excavator, a tooth-shaped surface of the synchronous belt being away from a surface of the rotating shaft; a transmission part, engaged with the tooth-shaped surface of the synchronous belt and arranged on a supporting base; an angle detection part, in transmission connection to the transmission part; and the supporting base, connected to a chassis of the excavator.

Abstract: Embodiments are directed to a trailer maneuvering assistant system onboard a vehicle to communicate with and receive control instructions from a mobile device app. In one example embodiment, the app interface presents the user with an engagement input area and a curvature command area. The user must provide two types of touch inputs to the user interface portions: a first touch input that includes a complex gesture input in the engagement interface portion. In one example embodiment the complex gesture may be user input of a closed geometric shape such as a circle, oval, rectangle, or some other shape. The input may be complex in that it matches a canonical model for the respective shape. Matching may include an input that is coterminous with the canonical model within a threshold amount of error, and/or meets another guideline or threshold such as being a closed shape, or some other predetermined requirement(s).

Abstract: Systems and methods for generating motion plans including target trajectories for autonomous vehicles are provided. An autonomous vehicle may include or access a machine-learned motion planning model including a backbone network configured to generate a cost volume including data indicative of a cost associated with future locations of the autonomous vehicle. The cost volume can be generated from raw sensor data as part of motion planning for the autonomous vehicle. The backbone network can generate intermediate representations associated with object detections and objection predictions. The motion planning model can include a trajectory generator configured to evaluate one or more potential trajectories for the autonomous vehicle and to select a target trajectory based at least in part on the cost volume generate by the backbone network.

Abstract: A system for an autonomous vehicle can receive profile data of a passenger of the autonomous vehicle, the profile data indicating a need of the passenger for audio assistance. Based on the profile data, the system can execute a set of configurations to assist the passenger over a trip duration between a pick-up location and a destination. Execution of the set of configurations can include dynamically monitoring the passenger to determine a state of the passenger, and based on the state of the passenger, output the audio assistance to at least aid the passenger in entering and exiting the autonomous vehicle.