Abstract: In various examples, operations include obtaining, from a machine learning model, feature classifications that correspond to features of objects depicted in images of a geographical area in which the images are provided to the machine learning model. The operations may also include annotating the images with three-dimensional representations that are based on the obtained feature classifications. Further, the operations may include generating map data corresponding to the geographical area based on the annotated images.

Abstract: A hierarchical modular arbitration architecture for a mobile platform guidance system is disclosed. In embodiments, the architecture comprises a hierarchy of arbitration layers, each arbitration layer narrower in scope than the layer above (e.g., mission objective arbitrators, route arbitrators, path arbitrators). Each arbitration layer includes one or more objective-based arbitrators in communication with one or more applications or modes. Each arbitrator receives control input (e.g., from the pilot, from aircraft sensors) and control signals from the level above, selecting a mode to make active based on decision agents within the arbitrator layer which control mode priorities and sequencing (e.g., some flight objectives may involve multiple arbitrators and their subject applications coordinating in sequence).

Abstract: An acquisition unit acquires pieces of information including information related to a vehicle, information related to the environment inside and outside the vehicle, and information related to a driver on board the vehicle. A determination unit determines priorities of the pieces of information acquired by the acquisition unit on the basis of a service or the like used by the driver among services or the likes provided using information accumulated in a server device. A selection unit selects a piece of information to be transmitted to the server device from among the pieces of information acquired by the acquisition unit on the basis of the priorities determined by the determination unit. A communication unit transmits the piece of information selected by the selection unit to the server device.

Abstract: A vehicle is provided that includes a vehicle body defining a cabin interior, a plurality of seats located within the cabin interior, each seat having an adjustable seat base and an adjustable seat back, a monitoring system for detecting and monitoring a pet within the cabin interior, and a controller processing signals generated by the monitoring system and determining a location of the pet based on the monitored signals, the controller further controlling at least one of the adjustable seat base and adjustable seat back of a seat based on the determined location of the pet so that the seat is configured to accommodate the pet.

Abstract: A method for determining a collision distance includes receiving a series of data points from a second vehicle that were during the second vehicle driving on a historical path, the data points contain path information and steering wheel angle, the path information contains position information; determining whether the first vehicle is located within a preset area range corresponding to the second vehicle using a series of positions of the second vehicle and the current position of the first vehicle; if the first vehicle is currently located within the preset area range, determining a lane change state of the second vehicle in the historical path according to the steering wheel angle, the lane change state represents the second vehicle changing lanes; and determining the collision distance between the vehicles according to the lane change state, the current position of the first vehicle, and the series of data points.

Abstract: In collision-avoidance maneuvering in congested waters, an own ship is decelerated by astern power. The own ship is continuously navigated on a current target course with a propulsion propeller always rotated forward at the stern of the own ship. The astern power is generated as the propulsion of a propeller slipstream with rudder angles formed at a pair of right and left high-lift rudders disposed behind the propulsion propeller. In the decelerating maneuvering, the rudder angles formed at the high-lift rudders are controlled within a range from a rudder angle for applying a maximum propeller slipstream as the astern power to a rudder angle for eliminating the ahead power of the propeller slipstream, and the deceleration of the own ship is controlled by changing the astern power according to the rudder angles.

Abstract: A system for controlling implement orientation of a work vehicle includes a computing system configured to control an operation of a lift actuator of the vehicle such that an implement of the vehicle is moved from a first vertical position relative to a second vertical position. Furthermore, the computing system is configured to monitor the angle of the implement as the implement is moved from the first vertical position to the second vertical position. Additionally, the computing system is configured to determine an actual error value between the monitored angle and a selected angle of the implement. Moreover, the computing system is configured to determine a modified error value that is different than the actual error value and control an operation of a tilt actuator of the vehicle to adjust the angle of the implement relative to the driving surface based on the modified error value.

Abstract: A moving-object detection apparatus for a vehicle includes first and second detectors and a moving-object detector. The first and the second detectors are configured to scan rear-side and front-side regions of the vehicle to detect first and second targets as reference targets, respectively. The moving-object detector is configured to detect a movement of a moving object on the basis of the detected first and second targets. The moving object is determined with the first and the second targets. The moving-object detector includes an interpolation-region setting unit, an estimation-trajectory setting unit, and a target checking unit. The interpolation-region setting unit is configured to set a first interpolation region and set a second interpolation region. The estimation-trajectory setting unit is configured to set an estimation trajectory on a time axis. The target checking unit is configured to check a matching degree between the estimation trajectory and the second target.

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 vehicle locator includes an on-board computer and a ground penetrating radar mounted on the vehicle that is communicably connected to the on-board computer. A reflective landmark is located at a known location along the path of the vehicle. The reflective landmark includes reflective elements arranged to encode data. The ground penetrating radar transmits signal energy and detects reflected signal energy reflected by the reflective landmark and communicates encoded data representative of the reflected signal energy to the on-board computer. The on-board computer decodes the encoded data and thereby determines the location of the vehicle.

Abstract: Systems and methods for smoothing automated lane change (ALC) operations. A mission planner, upon receipt of an ALC request, sends a ALC heads up signal to a lateral control. The mission planner then begins confidence building operations, for a preprogrammed duration of time, and awaits an ALC ready signal from the lateral control. The lateral control, upon receipt of the ALC heads up, calculates an index of readiness, RALC, as a function of the requested ALC, a current trajectory, and a lane centering control path. When RALC is less than or equal to a readiness threshold, Rt, the lateral control sends the ALC ready signal. When RALC is greater than Rt, the lateral control generates a steering correction and applies the steering correction to reduce the RALC and thereby stabilize the vehicle and send the ALC ready signal. Upon receiving the ALC ready signal, the ALC operation is executed.

Abstract: A vehicle control system comprising: a driving control device that includes a first processor and controls a driving section at a vehicle; a control instructing device includes a second processor and controls the driving control device by giving instructions by communication to the driving control device; and a communication path connects a plurality of control devices, including the control instructing and the driving control devices, the plurality of control devices communicate with one another, wherein the vehicle control system is structured wherein the first and second processors respectively compare a communication period of communication with another control device via the communication path, and a reference period that is stored in advance, based on results of comparisons on the communication period and the reference period that have been carried out by the first processor and the second processor, the second processor judges that there is an attack on the communication path.