Abstract: A non-transitory computer readable-medium comprising instructions that when executed causes at least one processor to determine a portion of a map for user identification, send a request to a user, and receive from a user a response to the request. The portion of the map may correspond to a location. The request may be to identify features existing at the location. The communication may direct the user to the location. The response to the request may include identification of a labeled feature with a location coded picture of the labeled feature.

Abstract: An example operation includes one or more of detecting, by a transport, an environment via a first sensor, determining, by the transport, an event related to the environment is imminent, powering, by the transport, a second sensor associated with the imminent event, and detecting, by the transport, the event as it is occurring via the second sensor.

Abstract: A control system for a motor vehicle, for outputting a controlled variable, with the aid of which a directly controlled variable of a motor vehicle is adjustable via suitable control operations, in order to adapt the directly controlled variable to a reference variable of the control system. The control system includes a controller, which is configured to output a first output variable on the basis of the directly controlled variable of the motor vehicle, and on the basis of the reference variable of the control system. The control system further includes a predictive model, which may be trained to output a second output variable that reflects a deviation of a driving behavior of a driver of the motor vehicle from the first output variable of the controller. The controlled variable of the control system encompasses an addition of the first output variable and the second output variable.

Abstract: A system for controlling a plurality of autonomous vehicles on a mine site comprises a centralized platform configured to store an inventory list of vehicles travelling on the mine site and configured to determine and communicate missions to the vehicles of a plurality of autonomous vehicles. The autonomous vehicles may comprise an interface configured to communicate with the centralized platform for receiving a predetermined mission, a trajectory control system configured to autonomously control the autonomous vehicle according to the predetermined mission, a detection system configured to detect other vehicles by evaluating sensor information received from at least one sensor of the vehicle, a collision prediction system configured to predict collisions with the other vehicles detected by the detection system, and a V2V communication interface for directly communicating with a V2V communication interface of at least one of the other vehicles on the mine site for exchanging information between the vehicles.

Abstract: A method for assisting the navigation of a fleet of vehicles including main vehicle and a secondary vehicle movable relative to the main vehicle includes receiving data acquired by one or more sensors, the received data including relative kinematic data between the main vehicle and the secondary vehicle, and estimating a navigation state of the fleet of vehicles by an invariant Kalman filter using the received data as observations. The navigation state includes first variables representative of a first rigid transformation linking a frame attached to the main vehicle to a reference frame, and second variables representative of a second rigid transformation linking the frame attached to the main vehicle to a frame attached to the secondary vehicle. The invariant Kalman filter uses as binary operation an operation including a term-by-term composition of the first rigid transformation and of the second rigid transformation.

Abstract: A method and system obtaining positioning data from an object traveling on a plurality of routes; mapping the data into a plurality of points on a digital map; identifying points that are unmatched to the stored route trajectory; obtaining candidate transition points from the unmatched points; aggregating the candidate transition points by applying a clustering algorithm; selecting a first cluster of points and a plurality of second clusters of points, determining a confidence level that the first cluster of points are transition points indicating a transition between the routes, classifying the first cluster of points as a first plurality of traveling points having a first direction in response to the confidence being below a threshold confidence and automatically adjusting the stored route trajectory to indicate that the first cluster of points are on the route trajectory.

Abstract: Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.

Abstract: A hitch assist system for a vehicle comprises an imaging system that receives image data of a hitch ball and trailer coupler, and a controller. The controller estimates a distance between a point on each of the hitch ball and trailer coupler. The points are parallel to a plane defined by a surface beneath the hitch ball and trailer coupler. The controller tracks the distance with a pixel-domain comparison between each of the points responsive to the distance being less than a first threshold, and maneuvers, via steering and braking systems, the vehicle along a path such that the distance is indicative of the points being coaxial.

Abstract: A post-disaster conditions monitoring system. The system may include plurality of aircraft drones configured to take photographic images; a conditions monitoring center having a controller including a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving images from the plurality of aircraft drones in a geographic region; determining conditions in the geographic region based on the images received from the plurality of aircraft drones; and sending information regarding the determined conditions to one or more users of the system.

Abstract: A vehicle control apparatus includes a recognizer which recognize a surrounding situation of a host vehicle, and a driving controller which controls acceleration/deceleration of the host vehicle on the basis of a recognition result of the recognizer, wherein the driving controller causes the host vehicle to operate in any of a first driving state and a second driving state which has a higher rate of automation or fewer tasks requested with respect to an occupant than the first driving state, and changes a driving state of the host vehicle to the second driving state on the basis of at least one of presence or absence of a recognized following vehicle positioned behind the host vehicle and a following vehicle detection situation when the host vehicle is operating in the first driving state.

Abstract: Techniques for a geofence generation feature are described herein. Geospatial vector data for a geographical area and seed points for delivery locations within the geographical area may be obtained. A plurality of polygons that represent the geographical area may be determined based on an algorithm that uses the seed points and the geospatial vector data. A boundary point for each polygon may be determined based on coordinates for the plurality of polygons where each boundary point corresponds to a single seed point. A geofence of a first size may be generated, for each polygon, based on the coordinates for the polygons, the seed point, and the boundary point. Historical scans of GPS data may be obtained from user devices during historical visits to the geographical area. The geofence may be modified to a second size or a different shape based on the historical scans of the GPS data.

Abstract: A method for simulating an obstacle in an unmanned simulation scene includes: for obstacle information in a three-dimensional scene map, determining Gaussian distribution information of obstacle position detected by using a perception algorithm to be tested based on actual perception performance of the perception algorithm; adjusting each position of the simulated obstacle in the initial motion trajectory sequence, such that a position deviation between each adjusted position point in the target motion trajectory sequence and the corresponding position point in the initial motion trajectory sequence follows a Gaussian distribution; and adding the target motion trajectory sequence of the simulated obstacle to the three-dimensional scene map.

Abstract: A method for calibrating at least one position sensor in a vehicle, comprising: saving a map in the vehicle with at least one item of virtual location information from the environment of a predefined calibration route, moving the vehicle on the predefined calibration route, detecting at least one item of actual location information via the at least one position sensor while the vehicle moves on the predefined calibration route, carrying out a comparison between the at least one item of virtual location information and the at least one item of actual location information, calculating a map-based movement of the vehicle within the saved map based on the comparison, calculating an odometry-based movement of the vehicle, and calibrating the at least one position sensor based on a comparison between the map-based movement and the odometry-based movement.

Abstract: A vehicle program update system and a vehicle program update method are provided which update a vehicle program that is used to control a vehicle by an on-board control device mounted on the vehicle to an update program received by the vehicle from an external device separate from the vehicle via wireless communication. When the update of the vehicle program is completed, determination is made whether the updated vehicle program is normal. When determination is made that the updated vehicle program is not normal, control of the vehicle is switched from control that is performed by the on-board control device using the vehicle program to limp home control for performing a limp home operation in which the vehicle travels using a driving force from a vehicle driving force source without being controlled by the on-board control device.

Abstract: A work vehicle includes a vehicle body, a work implement including an attachment, an operating device and a controller. The operating device can be operated to a dump side and a tilt side to cause the attachment to dump and tilt. The controller executes an automatic drive control in which the attachment is caused to dump as far as a predetermined dumping position when the operating device is operated by a first dump operation amount or greater to the dump side, or to tilt as far as a predetermined tilt position when the operating device is operated by a first tilt operation amount or greater to the tilt side. The controller disables the automatic drive control when a switching time period required for the operating device to be switched between the tilt and dump sides is at least a predetermined disabling time period.

Abstract: A travel control device is mounted on a vehicle including an electric motor and an internal combustion engine that are power sources and a storage battery that stores energy for driving the electric motor and regenerative energy recovered by regenerative braking of the electric motor. The travel control device includes an electronic control device configured to create a speed profile in which a speed of the vehicle is predicted, estimate a predicted amount of the regenerative energy to be recovered, based on the speed profile, and decide the power source to be used for traveling, based on the predicted amount of the regenerative energy and thermal information indicating a demand related to heat of the vehicle.

Abstract: A method for improving the adhesion of a rail vehicle by conditioning selected axle(s), detects whether a higher total brake force can be achieved by changing the manipulated variable of the wheel slip at at least one unit from a current starting wheel slip to a forced wheel slip, and, if so, changes the wheel slip at at least one unit from the current starting wheel slip to the forced wheel slip by regulating the manipulated variable of the brake application force at the unit, whereby the friction ratios between the wheel and the rail changes at the subsequent units, and regulates the manipulated variable of the brake application force at the subsequent units to regulate the wheel slip, which is likewise changed by the changed friction ratios, at the units back to the unchanged manipulated variable of the starting wheel slip, optimized brake forces being produced at the units.

Abstract: Systems and methods for personalizing adaptive cruise control in a vehicle are disclosed herein. One embodiment collects vehicle-following-behavior data associated with a particular driver; trains a Gaussian Process (GP) Regression model using the collected vehicle-following-behavior data to produce a set of adaptive-cruise-control (ACC) parameters pertaining to the particular driver, the set of ACC parameters modeling learned vehicle-following behavior of the particular driver; generates an acceleration command for the vehicle based, at least in part, on the set of ACC parameters; applies a predictive safety filter to the acceleration command to produce a certified acceleration command that has been vetted for safety; and controls acceleration of the vehicle automatically in accordance with the certified acceleration command to regulate a following distance between a lead vehicle and the vehicle in accordance with the learned vehicle-following behavior of the particular driver.

Abstract: A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.

Abstract: An autonomous cleaning robot includes a drive system to maneuver the autonomous cleaning robot across a floor surface; a cleaning assembly for cleaning the floor surface; and a sensor system disposed at a forward portion of the autonomous cleaning robot. The sensor system includes a movable element having (i) a first configuration in which the movable element extends beyond a bottom surface of the autonomous cleaning robot by a first amount, and (ii) a second configuration in which the movable element extends beyond the bottom surface of the autonomous cleaning robot by a second amount less than the first amount; a spring mechanically coupled to the movable element, the spring being biased to hold the movable element in the first configuration; and a sensor assembly configured to generate a signal based on the configuration of the movable element.