Abstract: A method, apparatus, and computer program product are therefore provided for providing natural guidance using one or more location graphs based on a context of a user. Methods may include: receiving an indication of a location of a user; identifying a location graph of location objects proximate the location of the user; establishing a context of the user; establishing a path among the location objects of the location graph based, at least in part, on the context of the user; generating natural language guidance based on the path among the location objects; and providing natural language guidance to the user. The location of a user may include a location along a route between an origin and a destination, where identifying a location graph of location objects may include identifying a location graph of location objects proximate the route between the origin and the destination.

Abstract: Provided is a method of automatically combining a farm vehicle with a work machine including confirming a current position of the work machine, moving a farm vehicle into a range having a predetermined radius around the current position, and controlling the farm vehicle, on the basis of a current position and direction of a first coupling unit included in the work machine, so that the first coupling unit and a second coupling unit included in the farm vehicle are coupled to each other.

Abstract: A vehicle driving control apparatus for controlling driving of a vehicle based on information received from a plurality of sensors, and a calibration method performed thereby is provided. The vehicle driving control apparatus includes at least one processor configured to determine a driving route to include a predetermined area of road, upon determining that calibration of a first sensor is required, and a memory configured to store values measured by the plurality of sensors while the vehicle is being driven along the driving route, wherein the at least one processor is further configured to calibrate the first sensor based on the stored measured values and information about the predetermined area of road.

Abstract: A harvester comprising: a drive engine connected via a first drive train to ground engagement equipment of the harvester and via a second drive train to crop processing equipment of the harvester; an actuator configured to adjust the transmission ratio of the first drive train to control the propulsion speed of the harvester; and a controller configured to receive setpoint and actual values dependent on the crop throughput of the harvester, the controller configured to calculate an acceleration signal based on the setpoint and actual values, the acceleration signal representing an acceleration of the harvester suitable for minimizing the difference between the setpoint and actual values, and to determine a control signal for controlling the actuator based on the acceleration signal.

Abstract: A communication system includes a central cloud server that detects the presence of an active sync path at each of a first edge device and a second edge device, where the first edge device is arranged at a first location at a vehicle and the second edge device is arranged at a second location of the vehicle. The central cloud server further determines a dominant edge device and a non-dominant edge device from the first edge device and the second edge device. The central cloud server further elects the determined dominant edge device from the first edge device and the second edge device to service one or more user equipment (UEs) in the vehicle, which improves performance in terms of data throughput and signal-to-noise ratio (SNR) of one or more UEs present in the vehicle by effectively controlling cooperation between two edge devices arranged in the vehicle.

Abstract: Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.

Abstract: An apparatus includes a front detection sensor detecting presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least one of a speed, an acceleration, a steering angle, a steering angular velocity, or a pressure of a master cylinder of the vehicle; an electronic control unit activating a function of a pedestrian detection and collision mitigation system based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by controlling the electronic control unit.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for high-traffic density transportation pathways. An example system includes a convoy moving at a first speed, the convoy including a first and second powertrain vehicle, a first land vehicle disposed between the first powertrain vehicle and the second powertrain vehicle, the first land vehicle including a first transit carrier, and a second land vehicle coupled to the first land vehicle, the second land vehicle including a second transit carrier having a first movement system and first stacking couplers, and a transit pod coupled to the second transit carrier, the transit pod having second stacking couplers, the second stacking couplers coupled to the first stacking couplers, and a controller to, in response to a request for a third transit carrier traveling at a second speed to join the convoy, instruct the third transit carrier to join the convoy at the first speed.

Abstract: A control device, a vehicle, a vehicle combination, and a method, the control device being designed to provide a first control signal for the approach of the vehicle to a further vehicle in a first portion of a travel route of the vehicle, the control device being designed to provide a second control signal for the coupling of the vehicle to the further vehicle in the first portion of the travel route, in order to provide a passage between the vehicle and the further vehicle, via which a person may change over between the vehicle and the further vehicle.

Abstract: A method for operating at least one automated vehicle, including the steps: detecting road users by sensors with the aid of the at least one automated vehicle and/or with the aid of sensor systems in an infrastructure; ascertaining predicted traffic routes for the road users with the aid of a computing device based on defined criteria; transmitting control data corresponding to the predicted traffic route to the automated vehicle; and operating the automated vehicle according to the control data.

Abstract: Techniques are described herein for generating a dynamical systems control policy. A non-parametric family of smooth maps is defined on which vector-field learning problems can be formulated and solved using convex optimization. In some implementations, techniques described herein address the problem of generating contracting vector fields for certifying stability of the dynamical systems arising in robotics applications, e.g., designing stable movement primitives. These learning problems may utilize a set of demonstration trajectories, one or more desired equilibria (e.g., a target point), and once or more statistics including at least an average velocity and average duration of the set of demonstration trajectories. The learned contracting vector fields may induce a contraction tube around a targeted trajectory for an end effector of the robot. In some implementations, the disclosed framework may use curl-free vector-valued Reproducing Kernel Hilbert Spaces.

Abstract: A communication device includes a communication unit configured to receive first path information from a first vehicle and to receive second path information from a second vehicle, and a processor configured to determine a possibility of the first and second vehicles entering a predetermined area based on the first and second path information, and based on the possibility being greater than a reference, transmit a message for controlling at least one of the first vehicle or the second vehicle through the communication unit to allow the first and second vehicles to enter the predetermined area at different time points.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing drive safety notifications are provided. A personal driving pattern library comprising first data associated with a first user for a plurality of road sections included in a first route may be maintained. A global driving pattern library comprising second data associated with a plurality of users for the plurality of road sections included in the first route may be maintained. A determination may be made that the first user is going to travel the first route. A first drive safety score for the first user driving the first route may be calculated. A determination may be made that the first drive safety score is below a threshold value. A drive safety notification may be caused to be surfaced.

Abstract: Methods, computer programs, apparatuses, a transportation vehicle, and a traffic entity for updating an environmental model at a transportation vehicle. The method for a transportation vehicle and for updating an environmental model of the transportation vehicle includes obtaining an environmental model of the transportation vehicle, the environmental model having static and dynamic objects in the environment of the transportation vehicle along at least a part of the trajectory of the transportation vehicle; assigning information related to correctness probabilities at least to dynamic objects of the environmental model; determining at least one dynamic object for which the information related to the correctness probability indicates a correctness probability below a threshold; and transmitting a broadcast message to the environment to request further information on the at least one dynamic object.

Abstract: Among other things, techniques are described for predicting how an agent (e.g., a vehicle, bicycle, pedestrian, etc.) will move in an environment based on prior movement, the road network, the surrounding objects and/or other relevant environmental factors. One trajectory prediction technique involves generating a probability map for an agent's movement. Another trajectory prediction technique involves generating a trajectory lattice, for an agent's movement. In addition, a different trajectory prediction technique involves multi-modal regression where a classifier (e.g., a neural network) is trained to classify the probability of a number of (learned) modes such that each model produces a trajectory based on the current input.

Abstract: An accident determination system that determines an occurrence of an accident in a straddle-type vehicle, includes a stop detection unit, an end operation unit and a weight detection unit, a control unit. The stop detection unit detects a vehicle stop of the straddle-type vehicle. The end operation unit receives a driving end operation performed by an occupant. The weight detection unit detects a weight value according to a posture of the occupant. The control unit determines whether the vehicle stop is caused by dismounting based on a detection result of the stop detection unit and an operation result of the end operation unit, and determines an occurrence of an accident based on a detection result of the weight detection unit during the vehicle stop caused by a reason other than dismounting.

Abstract: A system may present notifications to an occupant of a vehicle and determine whether the occupant has given attention to the notification. The system oscillates a visual notification at an output frequency. The system captures images of an eye of the occupant to determine an eye pupil oscillation frequency associated with the occupant. The system compares the eye pupil oscillation frequency to the output frequency. The system determines whether attention was given to the notification based on whether the output frequency and the eye pupil oscillation frequency match. If the system determines that attention was not given, the system may cause performance of one or more follow-up operations.

Abstract: Methods for autonomous operation of harvesters use header drive pump displacement, header speed, harvester ground speed, engine load and engine speed to control and maximize harvester operation under varying conditions such as crop type, crop condition and terrain. Adaptive learning processes within the methods relate the parameters of pump displacement with header speed and engine speed during harvester operation to permit the control system to establish combinations of related control parameters which are used by a control system to control harvester operation.

Abstract: Superimposed-image display devices and programs superimpose an image on a surrounding environment in front of a vehicle so that the image can be visually identified. The image includes at least one of a first guidance image that prompts a driver to change driving operation and a second guidance image that does not prompt a driver to change driving operation. The second guidance image is displayed in a display mode in which the second guidance image more harmonizes in at least one of a location, brightness, and color with the surrounding environment than the first guidance image, the surrounding environment being a superimposition target.

Abstract: A vehicle navigation apparatus is provided. The apparatus includes a vehicle sensor positioned in a front or a rear of a vehicle, the vehicle sensor configured to recognize surrounding information and road information of the vehicle, and a processor configured to identify destination information requested by a user of the vehicle, identify location information of the vehicle through the vehicle sensor, identify the recognized surrounding information and the recognized road information of the vehicle, and identify information about a route according to the identified destination information by controlling the vehicle to identify information about a bus station within a range specified based on the location information of the vehicle and bus information, calculating a degree of congestion of the route, and displaying the calculated degree of congestion through a display device.