Abstract: A system and method for providing multiple agents for decision making, trajectory planning, and control for autonomous vehicles are disclosed.

Abstract: To provide a route arbitration apparatus, an automatic driving controller, and an automatic driving and route arbitration system which can avoid an overlapping between travel routes and make vehicles carry out a traveling operation smoothly while considering priority between vehicles, in a broad perspective, about a multiple of vehicles existing in a periphery. A route arbitration apparatus receives a target travel route from each vehicle; when it is determined that a mutual overlapping of the target travel routes occurs, determines a priority travel area which is an area where the highest priority vehicle can travel in accordance with the target travel route, transmits the priority travel area to the highest priority vehicle, determines an avoidance travel area which is an area where the low priority vehicle can travel while avoiding the priority travel area, and transmits the avoidance travel area to the low priority vehicle.

Abstract: The present disclosure relates to a method for determining a state of a vehicle on a road portion having two or more lanes. The method comprises obtaining map data associated with the road portion and positioning data indicating a position of the vehicle on the road and a sensor data from a sensor system of the vehicle. The method further comprises initializing a filter per lane of the road portion based on the obtained map data, the obtained positioning data, and the obtained sensor data, wherein each filter indicates an estimated state of the vehicle on the road portion. Then, selecting one of the initialized filters using a trained machine-learning algorithm, configured to use the obtained map data, the positioning data, the sensor data, and each estimated state as indicated by each filter as input and to output a current state of the vehicle on the road portion.

Abstract: A computing device, method and computer program product are provided for facilitating modification of the route of an autonomous surface vehicle. In the context of a method, a stylized image of an input image, such as a photographic image, is constructed. The stylized image distinguishes between surfaces having different texture that are present in the input image. Based upon the stylized image, the method also includes determining a frictional coefficient associated with at least some of the surfaces having different texture. The method further includes determining whether the route of the autonomous surface vehicle is to be altered from a predefined route based upon the frictional coefficient that has been determined to be associated with a surface over which the predefined route of the autonomous surface vehicle extends.

Abstract: Methods and systems for operating implements of a vehicle are described. Operation of the implements may be adjusted in response to input to a human/machine interface, such as a joystick. In one example, one or more implement requests are scaled according to a human/machine allowance factor, where the human/machine allowance factor is based on an implements power limit and an implements requested power.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.

Abstract: A display device includes a transparent display screen element, which has a front side and a rear side opposite to the front side, and a polarizing element arranged flatly on the rear side of the transparent display screen element. The polarizing element is to attenuate light output by at least one lighting element of the transparent display screen element. A motor vehicle may have such a display device, in particular where the display device may be arranged freestanding at or on an interior trim element of the motor vehicle.

Abstract: An apparatus for alerting an operator to the presence of obstacles during the towing or push-back of an aircraft while it is on the ground, including: a self-propelled platform; at least one sensor attached to said platform, configured to sense potential obstacles; and a communication system attached to said platform for transmitting data relating to said sensed obstacles, the communication system being operable to communicate with at least one of: a same said apparatus; an operator control panel; a command centre; the aircraft being towed or pushed-back; and a vehicle towing or pushing-back the aircraft. An aircraft collision avoidance system is used during towing or push-back of an aircraft while it is on the ground, the system includes: at least one apparatus as described; and a carrier configured to carry the at least one apparatus.

Abstract: An automatic driving system includes a control device that controls automatic driving of a vehicle, and a storage device that contains external environment information indicating an external environment of the vehicle. A driving transition zone is a zone in which a driver of the vehicle takes over at least a part of driving of the vehicle, from the control device. A termination target velocity is a target velocity of the vehicle at an end point of the driving transition zone. The control device variably sets the termination target velocity, depending on the external environment at the end point or the external environment surrounding the end point. Then, the control device controls the velocity of the vehicle in the driving transition zone, such that the velocity of the vehicle at the end point is the termination target velocity.

Abstract: A method (200) and device (500) for managing data and a computer program product, wherein the method (200) comprises: acquiring data related to a schedule of a user (101) at a mobile terminal device (102). The method (200) further comprises: identifying the data to obtain a travel time related to the user (101) and location information corresponding to the travel time. The method (200) further comprises: sending a transmission request related to the travel time and the location information to a server (103), so that the server (103) sends the travel time and the location information to a vehicle (104) related to an identification of user of the user (101), wherein the transmission request at least comprises the identification of user, the travel time and the location information.

Abstract: System is configured to receive article information corresponding to articles to be transported by computer-controlled vehicles, the articles comprising a first article and a second article, each having a maximum article dimension. System is also configured to assign travel routes about a grid comprising grid cells for the vehicles to travel thereon. The travel route of a first vehicle carrying the first article includes a turning maneuver at a first grid cell. System is configured to control the turning maneuver of the first vehicle in the first grid cell such that there is no contact between the first article carried on the first vehicle with a second article carried on a second vehicle present in a second grid cell that is adjacent to the first grid cell when the first vehicle is undertaking the turning maneuver.

Abstract: A method for supervising an air traffic tracking system that includes determining performance indicator values and an operating feature of the tracking system for the current situation on the basis of the performance indicator values; if the operating feature is representative of an operating abnormality of the tracking system, determining at least one performance indicator corresponding to the operating abnormality, and determining values of the at least one performance indicator corresponding to normal operation; determining at least one quality of service measure of the tracking system based on the performance indicator values; if the at least one quality of service measure is representative of a degradation in the quality of service, determining at least one performance indicator corresponding to the degradation in the quality of service; executing at least one evaluation process associated with the at least one performance indicator and/or to the degradation in the quality of service.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automated autonomous vehicle pose validation. An embodiment operates by generating a range image from a point cloud solution comprising a pose estimate for an autonomous vehicle. The embodiment queries the range image for predicted ranges and predicted class labels corresponding to lidar beams projected into the range image. The embodiment generates a vector of features from the range image. The embodiment compares a plurality of values to the vector of features using a binary classifier. The embodiment validates the autonomous vehicle pose based on the comparison of the plurality of values to the vector of features using the binary classifier.

Abstract: An agricultural harvester includes a crop processor for reducing crop material to processed crop, an unload conveyor for transferring a stream of processed crop out of the harvester, and a camera for capturing images of an area proximate the harvester and generating image data from the captured images. One or more computing devices are configured for receiving the image data from the camera, identifying, from the image data, a visual marker corresponding to a receiving vehicle, and determining, from the visual marker, a location of the receiving vehicle relative to the agricultural harvester. An electronic device presents, on a graphical user interface of the device, a graphical representation of the relative locations of the unload conveyor and at least a portion of the receiving vehicle, the graphical representation based on the location of the receiving vehicle relative to the agricultural harvester determined by the one or more computing devices.

Abstract: A system may include a first vehicle and a first control system that may control one or more vehicle operations of the first vehicle. The first control system may perform operations including receiving a first vehicle operation signal from a second control system associated with a second vehicle, sending one or more requests to one or more computing systems for a confirmation of the first vehicle operation signal, and determining a set of vehicle instructions to control the one or more vehicle operations based on whether one or more responses from the one or more computing systems provide the confirmation. The first control system may then control the first vehicle based on the set of vehicle instructions.

Abstract: An unmanned aerial vehicle (UAV) or “drone” executes a neural network to assist with inspection, surveillance, reporting, and other missions. The drone inspection neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation to an asset along a preprogrammed flight path and/or during its mission (e.g., as it scans and inspects an asset).

Abstract: A mobile delivery apparatus is provided. Another aspect provides a software program used with a mobile delivery apparatus. Still another aspect includes a mobile delivery system utilizing a smart carousel dispenser. An aspect of the mobile delivery apparatus includes a delivery vehicle having a motor operable to drive terrestrial wheels of the delivery vehicle, a cargo box section, a carousel positioned in the cargo box section, and a plurality of storage bins positioned on the carousel. A further aspect includes at least one scanner positioned adjacent a first access door and configured to scan the bins and the parcels held in the bins as the carousel rotates. Yet another aspect employs a controller to rotate the carousel and selectively align one or more of the storage bins with a second access door.

Abstract: A computer-implemented method when executed by data processing hardware of a legged robot causes the data processing hardware to perform operations including receiving sensor data corresponding to an area including at least a portion of a docking station. The operations include determining an estimated pose for the docking station based on an initial pose of the legged robot relative to the docking station. The operations include identifying one or more docking station features from the received sensor data. The operations include matching the one or more identified docking station features to one or more known docking station features. The operations include adjusting the estimated pose for the docking station to a corrected pose for the docking station based on an orientation of the one or more identified docking station features that match the one or more known docking station features.

Abstract: A railborne driver assistance device for supporting or automating the lateral control of a vehicle includes a first processing unit configured to control a steering torque intervention by establishing a steering angle with a stationary control accuracy of an electrically supported steering system. A second processing unit is configured to adjust the stationary control accuracy of the steering angle via the output of an accuracy request signal to the first processing unit in such a way that there is a scaling of the control accuracy between a lower and an upper threshold value. The second processing unit includes a control unit having an integrator with an input and an output, wherein the output of the integrator is connected to the input in a closed-loop manner with a weighting dependent on the accuracy request signal.

Abstract: A method for operating a driver information system in an ego vehicle is provided, in which environment data in an environment of the ego vehicle are captured, and an additional road user is identified using the captured environment data. A driver information display is generated and output, wherein the driver information display comprises a graphic road user object which represents the additional road user. A depiction-relevant feature of the additional road user is determined, and the road user object assigned to the additional road user is generated depending on the depiction-relevant feature.