Abstract: Systems and methods of the present disclosure enable machine learning-based refinement of trajectory predictions using a processor to determine a future trajectory associated with an object state using an iterative physics algorithm. The processor utilizes a trajectory error prediction machine learning model to predict a trajectory error for the future trajectory determined for the object state. The processor determines a pseudo-measurement representative of the trajectory error based at least in part on the trajectory error for the future trajectory and determines a pseudo-measurement noise based at least in part on the pseudo-measurement. The processor determines an updated future trajectory for the future trajectory based on the pseudo-measurement and the pseudo-measurement noise of the trajectory error for the future trajectory, and causes to display a trajectory notification associated with future trajectory on a screen of a user computing device associated with a user.

Abstract: Monitoring the brake performance of a brake system of a machine and a control systems for performing such monitoring. The machine's brake system is monitored by detecting a brake engagement for decelerating the machine. When a brake engagement is detected, a parasitic loss decelerating the machine during the brake engagement is determined. The parasitic loss is used to predict deceleration of the machine during the brake engagement Brake performance of the brake system of the machine is processed from the predicted deceleration.

Abstract: An apparatus for controlling the movement of a material transfer vehicle with respect to the front end of a paving machine that is being operated by a driver/operator and is being supplied with asphalt paving material by the material transfer vehicle includes a controller that is mounted on the material transfer vehicle and is operatively connected to control mechanisms for controlling the speed and braking of the material transfer vehicle. A sensor is mounted on the material transfer vehicle and is operatively connected to the controller. The sensor is located and adapted to execute non-contact sensor scan passes across the front end of the paving machine to determine the distance from the sensor to the paving machine. The sensor is also adapted to communicate information to the controller about the distance from the sensor to the paving machine. The apparatus includes no components that are mounted on the paving machine.

Abstract: A brake control device is applied to a brake device that controls a front-wheel braking force and a rear-wheel braking force. The brake control device includes a ratio calculation circuit that calculates a target front and rear braking force distribution ratio based on a target pitch angle, and a brake control circuit that performs a stability control by operating the brake device based on the target front and rear braking force distribution ratio during braking.

Abstract: A fill control system on a harvester detects that a receiving vehicle is to be repositioned relative to the harvester. The fill control system generates a signal indicative of how the receiving vehicle is to be repositioned relative to the harvester. The harvester sends the signal to a mobile device that is remote from the harvester. A mobile device receives an indication from a fill control system on a harvester that indicates how a receiving vehicle is to be repositioned relative to the harvester. The mobile device controls a user interface mechanism to generate an output indicating how the receiving vehicle is to be repositioned relative to the harvester.

Abstract: A system and method established and maintains precision relative position, navigation, and timing (PNT) across a network of at least four mutually connected mobile platforms. In embodiments, a key (e.g., advantaged, absolute positioning capable) node of the network determines its pressure altitude and inertial state relative to its platform reference frame and receives inertial state and pressure altitude data from each neighboring node (in exchange for its own) to estimate the relative position and orientation of each neighbor node in its platform frame. The key node performs ranging to each neighboring node, and the neighboring nodes additionally range between each other and exchange ranging data with the key node. By correcting position and orientation estimates via ranging data, the key node determines and maintains extended relative PNT (e.g., in GPS-denied areas), which relative PNT solution is distributed across all network nodes.

Abstract: A front tire heating and cleaning system for a vehicle includes a brake system configured to selectively apply hydraulic braking pressure against front wheels and rear wheels of the vehicle, and a controller in signal communication with the brake system. The controller is configured to, upon receipt of a request, initiate a controlled front tire heating mode where the brake system is controlled to selectively apply hydraulic braking pressure against the rear wheels and not the front wheels, and rotate the front wheels to increase tire temperature for improved front wheel traction during off-road maneuvers.

Abstract: The present invention obtains a controller and a control method capable of simultaneously achieving freedom of driving and safety of a lean vehicle. In a controller (60) and the control method according to the present invention, a control section of the controller (60) can execute anti-lock braking operation for suppressing locking of a rear wheel (4) by increasing/reducing a braking force or drive power of the rear wheel (4) of a lean vehicle (100) and thereby controlling a slip degree of the rear wheel (4) to a slip degree target, and in the case where a slide request, which is a request by a rider to make the lean vehicle (100) slide, is present, implements a slide control mode in which the anti-lock braking operation is performed by setting the slip degree target to be higher than that of a case where the slide request is absent.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, CPU-usage associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined CPU-usage. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomalous event.

Abstract: A driver assistance system for coupling a trailer to a towing vehicle is described, including a video camera attached to the towing vehicle and an associated display device in the driver's field of vision, in whose video image a static guide marking is displayed along which a coupling mouth arranged on the towing vehicle can be contacted with a drawbar eye held on the trailer by a drawbar. Providing a driver assistance system which helps the driver estimating the three-dimensional position of the drawbar eye in relation to the towing vehicle while rearwards approaching a trailer. The video camera is arranged at a vertical distance from the coupling and the guide marking is formed by two beam corridors arranged on both sides of the vehicle's longitudinal axis converging towards one another in the rearward direction of the towing vehicle.

Abstract: An autonomous vehicle can access map data comprising travel ways within a surrounding environment of the autonomous vehicle, and further access constraint data that define original navigational constraints within the map data. The vehicle can further receive constraint files comprising additional navigational constraints within the map data and modify the constraint data based on the constraint files. The vehicle can determine a travel route to a destination using composite constraint data and autonomously driver to the destination along the travel route accordingly.

Abstract: A vacuum cleaner for performing autonomous driving may include: a main body; a driving unit; a suctioning unit; a plurality of sensors for sensing obstacles present in each direction; and a control unit for controlling the driving unit to move the main body on the basis of a preset driving pattern. The control unit uses sensors provided at the front side of the main body and a first side of the both sides of the main body so as to detect whether entry into a corner area among cleaning areas is made while driving along the preset driving pattern, and controls the driving unit such that the first side of the main body comes into contact with a first wall forming the corner area at least one time when the main body enters the corner area.

Abstract: A computer implemented method of validating an output from a GNSS at a receiver including a fusion system comprising location sensors. A location estimate and a location error estimate are computed. A navigation update including a sensor location estimate and sensor location error estimate is also computed with the fusion system based on sensor measurements from the location sensors. A determination is made as to whether or not GNSS filters should be applied based at least on the location estimate, the sensor location estimate, and the sensor location error estimate. When GNSS filters should be applied, the location estimate and/or the location error estimate may be adjusted or rejected and a new navigation update may be computed with the fusion system based on the adjustment or rejection. When the GNSS filters should not be applied, the new navigation update is computed with the location estimate and the location error estimate.

Abstract: A vehicle includes first and second electric machines constrained to rotate in unison and configured to power a common axle. A controller is programmed to, in response to activation of the vehicle, select one of the first and second speed sensors as a representative speed sensor, and, in response to the electric machines being in speed control, command speeds to the first and second electric machines based on a difference between a target speed of the electric machines and a measured speed of the representative speed sensor.

Abstract: A system includes: one or more storage devices that store specific position information indicating a specific position where an autonomous vehicle has a possibility to require remote support; and one or more processors configured to set a first target route as a target route, determine whether an abnormality has occurred in a remote support system, when the abnormality is detected in the remote support system, search for an alternative route that is a route to the destination based on the specific position information, the alternative route having a smaller number of the specific positions to be passed through by the autonomous vehicle than the first target route, when the alternative route is found, change the target route from the first target route to the alternative route, and control the autonomous vehicle.

Abstract: A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing or determining trajectories of the robot and a nearby moving object forward in time from their respective current positions, and detecting a conflict from a comparison of the trajectories. The method includes selecting a maneuver to avoid the conflict, and outputting an indication of the maneuver for use in at least one of guidance, navigation or control of the robot to avoid the conflict. Selection of the maneuver includes determining a plurality of angles that describe the conflict such as those at which the robot and moving object observe one another, and/or an angle between their trajectories, and evaluating the plurality of angles to select the maneuver.

Abstract: An apparatus for providing an automotive preventive maintenance service includes: a vehicle information creator that creates vehicle information including vehicle diagnosis information obtained in real time while a vehicle is driven and vehicle state information showing a current state of the vehicle; a vehicle breakdown generation predictor that creates vehicle part states each composed of a preventive maintenance emergency degree and a vehicle part on the basis of the vehicle information, and predicts breakdown generation of the vehicle; an automotive repair shop recommender that recommends an automotive repair shop based on a cost or a distance on the basis of the preventive maintenance emergency degree in at least one of the vehicle part states; and a preventive maintenance service compensator that detects whether to perform a maintenance service about a corresponding vehicle part state according to the preventive maintenance emergency degree, and provides preventive maintenance service compensation.

Abstract: The present invention obtains a control system and a control method capable of appropriately suppressing rear lift-up of a straddle-type vehicle. In the control system and the control method according to the present invention, damping forces of suspensions and a braking force generated to the straddle-type vehicle are controlled. Braking force adjustment control is executed to adjust the braking force generated to the straddle-type vehicle so as to suppress the rear lift-up that causes a rear wheel of the straddle-type vehicle to lift off from the ground, and initiation timing of the braking force adjustment control is controlled by using a physical quantity to which states of the suspensions are reflected.

Abstract: A system includes a robotic vehicle having a propulsion and a manipulator configured to perform designated tasks. The system also including a local controller disposed onboard the robotic vehicle and configured to receive input signals from an off-board controller. Responsive to receiving an input signal for moving in an autonomous mode, the local controller is configured to move the robotic vehicle toward one of the different final destinations by autonomously and iteratively determining a series of waypoints until the robotic vehicle has reached the one final destination. For each iteration, the local controller is configured to determine a next waypoint between a current location of the robotic vehicle and the final destination, determine movement limitations of the robotic vehicle, and generate control signals in accordance with the movement limitations.

Abstract: A working vehicle includes a steering handle, a vehicle body to travel with either manual steering by the steering handle or automatic steering of the steering handle based on a traveling reference line, an operator provided to the vehicle body, and a controller to terminate the automatic steering when the operator is operated under the automatic steering.