Abstract: An information processing method, an information processing system, an information processing device, and an information terminal of the present invention, accepts a destination for the vehicle, then searches for the travel route to the destination and sets as a first travel route, and sets a travel start time to start traveling on the first travel route. Then, vehicle information is acquired for the vehicle in advance of the travel start time by a prescribed time after the setting of the first travel route; and a travel route to the destination is searched again and a second travel route is set based on the vehicle information.

Abstract: A marine propulsion system includes a controller configured or programmed to perform a rudder angle change control to change a rudder angle of an auxiliary propulsion device by a predetermined angle to one side in a right-left direction of a hull with respect to a forward-rearward direction of the hull so as to move the hull along the forward-rearward direction without rotating the hull when motorized forward-rearward movement is performed to move the hull along the forward-rearward direction by driving the auxiliary propulsion device that is provided to one side of the hull in the right-left direction without generating a thrust from a main propulsion device.

Abstract: The present technology relates to a signal processing device, a signal processing method, a program, and a mobile device enabling to obtain an occupancy grid map in which an appropriate path can be set. The signal processing device includes: a map creation unit configured to create an occupancy grid map indicating a presence or absence of an object in a unit of a grid on the basis of first sensor data from a first sensor used to detect the object in surroundings of a mobile device; an attribute setting unit configured to set an attribute of the grid of the occupancy grid map on the basis of an attribute of the object; and a correction unit configured to correct the occupancy grid map on the basis of an attribute of the grid. The present technology can be applied to, for example, a system that controls automatic driving.

Abstract: A method for controlling an approach of a driving vehicle to at least one preceding reference vehicle using an automated distance setting as a function of a setpoint distance between the vehicle and the reference vehicle. The setpoint distance is calculated as a function of an operating position of an operating element of the vehicle, which is actuatable by the driver of the vehicle and controls a drive of the vehicle. The setpoint distance being reduced directly or indirectly by actuating an actuating element of the vehicle, which has an actuating position, is actuatable by the driver of the vehicle, and controls a braking deceleration of the vehicle. A distance control system, a computer program, and a memory unit, as also described.

Abstract: A method in an On-Demand Autonomy system includes: monitoring for a trip change request from a plurality of platoon vehicles including a first leader vehicle (Lv) and a follower vehicle (Fv). When a trip termination request is received from a platoon vehicle, the method includes broadcasting information regarding the request to the other platoon vehicles, and monitoring for an acknowledgement of the request. When the trip termination request originated from the first Lv, the method includes electing a new Lv, computing a rendezvous point for the new Lv and the Fv, and signaling the Fv and new Lv regarding the rendezvous point. When a trip modification request is received from the Fv, the method includes broadcasting information regarding the request to the first Lv, electing a new Lv, computing a rendezvous point for the new Lv and the Fv, and signaling the Fv and new Lv regarding the rendezvous point.

Abstract: A method for controlling a construction machine can include dividing a work area into a plurality of work lanes; selecting a first set of consecutive work lanes of the plurality of work lanes that can be worked without an obstruction; and completing one or more passes on the selected first set of consecutive work lanes before moving on to another set of the plurality of work lanes.

Abstract: The invention relates to a collaborative agricultural field processing control device intended to be mounted on an agricultural machine (1), composed of a set of detectors (2) for weeds or leaf symptoms of deficiencies or diseases collaborating in the decision to control the treatment devices (3) of the agricultural field.

Abstract: A trajectory for an autonomous machine may be evaluated for safety based at least on determining whether the autonomous machine would be capable of occupying points of the trajectory in space-time while still being able to avoid a potential future collision with one or more objects in the environment through use of one or more safety procedures. To do so, a point of the trajectory may be evaluated for conflict based at least on a comparison between points in space-time that correspond to the autonomous machine executing the safety procedure(s) from the point and arrival times of the one or more objects to corresponding position(s) in the environment. A trajectory may be sampled and evaluated for conflicts at various points throughout the trajectory. Based on results of one or more evaluations, the trajectory may be scored, eliminated from consideration, or otherwise considered for control of the autonomous machine.

Abstract: Systems and methods for transferring aircraft within a landing area of an aerial transport are provided. A system includes a plurality of robotic devices configured to move aircraft within the landing area. The system obtains facility data to dynamically determine accessible and prohibited areas of the landing area. The system determines a robotic device to transfer an aircraft based on map data representing the prohibited/accessible areas of the landing area and robotic data representing attributes of each robotic device. The system determines a number of routes for the selected robotic device to transfer the aircraft within the landing area while avoiding prohibited areas of the landing area. The system generates command instructions for the selected robotic device and provides the command instructions to the selected robotic device to travel in accordance with the number of routes.

Abstract: A system and method are provided for object detection for a work machine. In an embodiment, data may be received from at least one sensor associated with the work machine and corresponding to a field of view extending from the main frame. Objects are classified in respective locations in the field of view, and at least one segmentation mask is generated corresponding to contours for at least one portion of, or attachment to, the work machine as determined to be in the field of view, wherein each of the at least one segmentation mask defines a respective masked zone in the field of view. One or more of the classified objects may then be determined as separate from the portion/attachment, wherein the at least one segmentation mask is applied to the portion/attachment independently of the one or more separate objects in the field of view. The at least one segmentation mask may be dynamic in nature to account for detected movements of, e.g., attachments to the work machine.

Abstract: A guidance text generation device that generates a guidance text for a user includes a route generation unit that generates a route including nodes from a point of departure to a destination, the nodes being represented by the point of departure, corners or/and ends at which a traveling direction changes and the destination and geographical information including types for classifying things located on a route connecting nodes, the types being classified into at least one of global brands, universal signs/facilities, objects peculiar to Japan, shops/facilities with alphanumeric notation, and shops, facilities and objects that do not fall under any of such categories and a guidance text generation unit that generates a guidance text for the generated route based on the generated route, the geographical information on the generated route, presentation priority of the geographical information associated with the type of the geographical information.

Abstract: A technique relates to route planning. Points associated with a start location and a destination location are received. It is determined whether the points comprise one or more hard points, one or more soft points, or both. At least one obstruction to avoid is determined. A route is autonomously generated comprising the points and segments associated with the points, the segments comprising rhumb lines, great-circle arcs, or both. Responsive to the points comprising the one or more soft points, the at least one obstruction is avoided by permitting a distance associated with the one or more soft points to be reached and adding at least one free waypoint. Responsive to the points comprising the one or more hard points, the at least one obstruction is avoided by requiring the one or more hard points to be reached and adding the at least one free waypoint.

Abstract: Systems and methods are provided for suggesting a charging station for an electric vehicle. A partial range of the electric vehicle corresponding to a predetermined percentage of the current state of charge of a battery of the electric vehicle is determined. A location corresponding to the partial range, along a route to a destination, is determined and used to select a suggested charging station based on the location corresponding to the partial range. The suggested charging station is generated for presentation at a display.

Abstract: Disclosed here are methods and systems for automatically operating automated vehicles moving through vegetation obstacles with minimal damage, comprising receiving image(s) depicting vegetation obstacle(s) blocking at least partially a path of an automated vehicle executing a mission, analyzing the image(s) to extract one or more obstacle attributes of the vegetation obstacle(s), computing a plurality of movement patterns for operating the automated to cross the vegetation obstacle(s) based on one or more vehicle attributes of the automated vehicle with respect to one or more of the obstacle attributes where each movement pattern defines one or more movement parameters of the automated vehicle, selecting one of the movement patterns estimated to reduce a cost of damage to the automated vehicle and/or to the one or more vegetation obstacles, and outputting instructions for operating the automated vehicle to move through the vegetation obstacle(s) according to the selected movement pattern.

Abstract: A behavior prediction method includes: determining a position of a host vehicle; determining a position of another vehicle in a second travel lane, the second travel lane being an opposite lane to a first travel lane in which the host vehicle travels; detecting an intersecting passage intersecting the second travel lane at a position ahead of the host vehicle; and determining whether or not the another vehicle is located within a predetermined range from an intersection position of the intersecting passage and the second travel lane to a point away from the intersection position by a predetermined distance in an opposite direction to a traveling direction of a vehicle in the second travel lane and the another vehicle is in either state of a stopped state and a decelerated state to predict that there is a probability that a mobile unit enters the first travel lane from the intersecting passage.

Abstract: An autonomous landing system for vertical landing aircraft includes a vertical landing aircraft including a powertrain and an onboard camera, a motion-stabilized visual cue including a visual indicator, wherein the visual cue is configured to maintain a fixed orientation of the visual indicator with respect to a horizon, and an autonomous control system configured to control a position of the aircraft with respect to the visual indicator of the visual cue based on image data captured by the onboard camera.

Abstract: Described is a method for aligning a vehicle service system (1) relative to a vehicle (2) positioned in a service area (8), where the vehicle service system (1) comprises: a calibration structure (3) for calibrating an ADAS sensor of an advanced driver assistance system of the vehicle (2); an apparatus (4) for measuring the alignment of the vehicle (2) and on which an apparatus camera (41) is mounted; wherein the method comprises the following steps: applying a front wheel target (51) and a rear wheel target (52) on a front wheel and on a rear wheel of the vehicle (2); capturing an image through the apparatus camera (41), wherein the image represents the front wheel target (51) and the rear wheel target (52); processing the image to derive information useful for positioning the calibration structure (3) relative to the vehicle (2); placing a positioning device (7) at an operating position, spaced from the calibration structure (3), in front of the apparatus (4) and alongside the first side of the vehicle (2).

Abstract: A 3D map comprising sensor data items depicting the environment is updated, each sensor data item having one or more associated variables such as a pose of a capture device or a position of a landmark. A graph is calculated from sensor data items. The graph comprises nodes and edges, a node representing at least one variable in the received sensor data items and an edge representing relationships between variables. The graph is partitioned into a plurality of subgraphs so as to reduce a number of variables that are shared between subgraphs. Each of the plurality of subgraphs is allocated to a respective worker node. At each worker node, updated values of the variables are computed. The process updates values of variables which are shared between subgraphs to a common value using a consensus process. The 3D map of the environment is updated according to the updated values of the variables.

Abstract: A computer is provided for a system for detecting, characterizing, and mitigating road network congestion. The system includes a plurality of motor vehicles. Each motor vehicle includes a telematics control unit (TCU) for generating one or more location signals for a location of the associated motor vehicle and one or more event signals for an event related to the associated motor vehicle. The computer includes one or more processors for receiving the location signal and/or the event signal from the TCU of the associated motor vehicles. The computer further includes a non-transitory computer readable storage medium (CRM) including instructions, such that the processor is programmed to identify a location of the road network congestion at a current time step. The processor is further programmed to track the road network congestion and predict the road network congestion at a next time step.

Abstract: An autonomous vehicle operates in a Follow Mode, wherein an apparatus for controlling movement of a vehicle includes an exterior monitoring system comprising at least one sensor to monitor an exterior region and to detect a location of a target user. A controller is configured to A) interactively map an activity zone having a selected expanse in the exterior region relative to the vehicle, B) compare a monitored location of the target user to the activity zone, C) detect a relocation event when the comparison of the monitored location of the target user to the activity zone exceeds a predetermined deviation, and D) send a navigation command in response to detecting the relocation event in order to autonomously reposition the vehicle so that a relative location of the target user is restored to the activity zone.