Abstract: The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

Abstract: Among other things, stored data is maintained indicative of potential stopping places that are currently feasible stopping places for a vehicle within a region. The potential stopping places are identified as part of static map data for the region. Current signals are received from sensors or one or more other sources current signals representing perceptions of actual conditions at one or more of the potential stopping places. The stored data is updated based on changes in the perceptions of actual conditions. The updated stored data is exposed to a process that selects a stopping place for the vehicle from among the currently feasible stopping places.

Abstract: A vehicle behavior control device is equipped with an other vehicle detection unit that detects another vehicle, a collision prediction unit that predicts that the other vehicle will collide with a side surface of a user's own vehicle, a physical quantity determination unit that determines a physical quantity relationship between relative physical quantities of the other vehicle and the user's own vehicle, and a brake control unit that is capable of individually and independently controlling brakes corresponding to respective vehicle wheels and that causes a braking force of the brakes on a collision side and a braking force of the brakes on a non-collision side to differ from each other, in accordance with the physical quantity relationship determined by the physical quantity determination unit, in the case that a collision is predicted by the collision prediction unit.

Abstract: Methods and apparatus for adjusting a suspension of a vehicle are described herein. An example apparatus includes a memory storing a plurality of suspension profiles. Each of the suspension profiles includes a stored performance parameter of a vehicle and a suspension setting. The apparatus includes a sensor to detect a driver performance parameter of a driver driving the vehicle. The driver performance parameter represents a behaviour of the driver of the vehicle. The apparatus further includes a processor to compare the driver performance parameter to at least one of the plurality of suspension profiles stored in the memory, and a controller to adjust a suspension of the vehicle according to a first suspension setting of a first suspension profile of the plurality of suspension profiles if the driver performance parameter corresponds to a first stored performance parameter of the first suspension profile.

Abstract: In a method for determining an axle load on a mechanically and/or pneumatically/hydraulically suspended vehicle, the axle load is determined with the aid of control and sensor means that are installed in the vehicle and/or functionally enhanced. Functions for axle load determination at mechanically suspended vehicle axles (4) and for axle load determination at pneumatically/hydraulically suspended vehicle axles (2) are available. In a mechanically suspended vehicle axle (4) a distance measuring unit (9), and in a pneumatically/hydraulically suspended vehicle axle (2) a pressure measuring unit (7) are used to determine the axle load. An initial plausibility check is implemented in an electronic control unit (10) of the level control system (1), on the basis of which the level control system (1) identifies the particular suspension type, mechanical or pneumatic/hydraulic, of a vehicle axle (2, 4) and, thereafter, the appropriate function for axle load determination is activated.

Abstract: A vehicle control method of an autonomous vehicle for a right and left turn at a crossroad includes: determining whether a second vehicle intends to change a lane while passing a front or a rear of a first vehicle in order to move to a target lane for the right and left turn at the crossroad; controlling the first vehicle to decelerate when it is determined that the second vehicle intends to change the lane while passing the front of the first vehicle; determining whether the second vehicle is entering the first lane toward the front or the rear of the first vehicle; calculating a steering amount of the second vehicle when it is determined that the second vehicle is entering the first lane toward the front of the first vehicle; and controlling the first vehicle to decelerate according to the steering amount.

Abstract: A robotic vehicle may include one or more functional components configured to execute lawn care function, a sensor network comprising one or more sensors configured to detect conditions proximate to the robotic vehicle, a positioning module configured to determine robotic vehicle position while the robotic vehicle traverses a parcel, and a boundary management module configured to enable the robotic vehicle to be operated within a bounded area. The bounded area may include a variable boundary, and the boundary management module may be configured to receive instructions from an operator to adjust the variable boundary.

Abstract: A method of controlling a primary vehicle (18) comprising an automated driving system (20) for driving the primary vehicle autonomously when the primary vehicle is in an autonomous mode, the primary vehicle also being operable manually by a driver when in a manual mode, the method comprising: determining failure of the driver to accept a request to switch the primary vehicle to the manual mode when the vehicle is in the autonomous mode; determining a primary vehicle driving state; acquiring vehicle data for one or more surrounding secondary vehicles (22); determining a contingency action to take with the primary vehicle based on the primary vehicle driving state and the vehicle data for the or each secondary vehicle; and outputting the contingency action to at least one system of the primary vehicle to drive the primary vehicle autonomously in accordance with the determined contingency action.

Abstract: A method is provided for a navigation device to display maneuvering instructions along a route, involving: displaying a digital map in a perspective manner on a display unit of the navigation device; according to the distance of the navigation device from the location of the maneuver, i.e. the location where a maneuver is to be carried out as per the route: displaying first maneuvering instructions for the maneuver when the navigation device is farther from the location of the maneuver than a predefined distance; displaying second maneuvering instructions instead of the first maneuvering instructions for the maneuver when the navigation device is closer to the location of the maneuver than the predefined distance; the first and second maneuvering instructions being displayed in such a way as to cover up a portion of the displayed digital map; displaying a graphic link between the location of the maneuver on the digital map and the first or second maneuvering instructions.

Abstract: A system to reduce probability of a crash in an intersection is disclosed which includes one or more way-sensor systems, the one or more sensor systems adapted to provide position and velocity vector of an object approaching the intersection on an associated path, a processing unit including configured to: determine position of the object with respect to a predefined zone of the intersection on the associated path, determine the current and future status of the associated traffic lights on the associated path of the object, predict position of the object with respect to the predefined zone and future status of the associated traffic light, if position prediction is within a predetermined threshold, modify the current status, wherein tgreen is extended, if position prediction is outside of the predetermined threshold, modify the current status, wherein tgreen is reduced, and repeating above steps until the object has cleared the intersection.

Abstract: A mobility information provision system includes a collector, a mapping unit, a generator, and a controller. The collector collects information about movement of mobile bodies. The mapping unit maps positions of the mobile bodies on the basis of the information collected by the collector. The generator generates course-related information by using information including the positions of the mobile bodies mapped by the mapping unit. The controller controls movement of each of the mobile bodies, by using the generated course-related information, or information obtained on the basis of the course-related information and usable for determination or control of the movement of the corresponding one of the mobile bodies. The generator generates the course-related information for each of the mobile bodies, to prevent hindrance to movement of a first mobile body moving in emergency, out of the mobile bodies.

Abstract: A load estimation device includes: an air spring having a diaphragm that expands and contracts due to supply and exhaust of air, and configured to support a support body in a liftable manner; an auxiliary support portion configured to support the support body separately from the air spring; a displacement sensor configured to measure a length of the air spring; a pressure sensor configured to measure an internal pressure of the air spring; a temperature sensor disposed together with the air spring, and configured to measure a temperature of the air spring; and a calculation unit configured to calculate a spring load supported by the air spring based on measured results of the displacement sensor, the pressure sensor and the temperature sensor.

Abstract: The present invention generally relates to the control of material transfer machines and/or construction machines having camera assistance. The invention here in particular relates to a method and to an apparatus for controlling a material transfer machine and/or a construction machine, in particular in the form of a crane, of an excavator, or of a crawler-type vehicle, wherein an image of the piece of working equipment is provided to a machine operator and/or to a machine control by an imaging sensor. The invention furthermore also relates to the material transfer machine and/or construction machine itself, in particular to a crane, having a display apparatus for displaying an image of the piece of working equipment and/or of the environment of the piece of working equipment.

Abstract: A computer-implemented method for prediction of a roadwork zone on at least a second road segment is provided. The method comprises retrieving at least one of map data or first sensor data for at least a first road segment. The method also comprises retrieving ground truth data for at least the first road segment, the ground truth data indicating a true presence or a true absence of a roadwork zone on the at least first road segment. The method further comprises receiving second sensor data associated with the at least second road segment. The method further comprises generating roadwork zone data of the roadwork zone on the at least second road segment, based on the at least one of map data or the first sensor data, the ground truth data, and the second sensor data.

Abstract: A method, device and system for a method, device, and system for automatically adjusting driver-related in-vehicle equipment, the method including the steps of: acquiring a driver's height from a detection device of a vehicle; determining preset values of additional body parameters of the driver based on the driver's height and calculating a position for entry using the driver's height and the preset values of the additional body parameters of the driver; and adjusting the equipment including a driver's seat to the position for entry so as to facilitate the driver to enter the vehicle and sit on the seat.

Abstract: The disclosure describes embodiments for modifying a vehicle component of an ego vehicle based on ranging and misbehavior information determined from digital data included in a Vehicle-to-Everything (V2X) message. In some embodiments, a method includes generating Received Signal Strength (RSS) data describing an RSS value for the V2X message which is originated by a remote vehicle. The method includes determining range data corresponding to the RSS value describing a first range from the ego vehicle to the remote vehicle. The method includes determining that the remote vehicle is providing inaccurate sensor data (an example of misbehavior information) by comparing the first range to a second range which is described by the sensor data which is extracted from the V2X message. The method includes modifying an operation of the vehicle component so that the vehicle component does not consider the sensor data that is provided by the remote vehicle.

Abstract: An air mobility control system is provided. The system includes one or more shock absorbing units that are mounted in an aircraft and are configured to absorb a vertical force impacting on the air mobility vehicle. A distance sensor is mounted in the air mobility vehicle and is configured to sense the distance to a ground or an approaching object. A safety controller is configured to detect an abnormal descent of the air mobility vehicle and to operate the one or more shock absorbing units to be deployed according to the distance sensed by the distance sensor.

Abstract: A crosswind effect estimation device is mounted in a vehicle and configured to estimate an effect on the vehicle due to a crosswind. The crosswind effect estimation device includes a processor configured to i) acquire information on the crosswind in a predetermined region forward of the vehicle in a traveling direction of the vehicle, ii) acquire information on a shielding object that is located on a windward side in a direction of the crosswind, and iii) estimate the effect on the vehicle due to the crosswind based on the acquired information on the crosswind and the acquired information on the shielding object.

Abstract: A vehicle control device includes a recognizer that is configured to recognize a surrounding situation of a host vehicle and a driving controller that is configured to control acceleration or deceleration and steering of the host vehicle on the basis of a recognition result of the recognizer. The driving controller is configured to cause the host vehicle to operate in at least any of a first driving state and a second driving state in which a rate of automation is higher or tasks required of an occupant are fewer than in the first driving state, and is configured to transition a driving state of the host vehicle to the first driving state on the basis of movement of a rearward vehicle that travels rearward of the host vehicle recognized by the recognizer in a direction of a vehicle width in a case where the host vehicle is operating in the second driving state.

Abstract: A method for reducing the potential hazard of a number of vehicles with heterogenous drives includes receiving on a backend server hazard data of the vehicles which includes current fill state data of at least one energy store and the current position of the respective vehicles, identifying on a backend server hazard situation data comprising the position and the type of the hazard situation, evaluating on the backend server the hazard data of the vehicles with respect to the hazard situation data, and automatically initiating at least one protective measure corresponding to the evaluated hazard data.