Abstract: A system and method to assist aircraft pilots with rapid decision-making in cases where the pilot needs to make a flight diversion at low altitudes due to an emergency (for example, loss of thrust). Once an emergency need for diversion is detected, the system and method generates a list of alternative airports the plane can reach given: (i) the current conditions of the plane; (ii) a real-emergency time simulation of evolving conditions of the plane; (iii) the environment at potential landing sites; and (iv) the environment on the flight path to those sites. For airports potentially within reach, the system and method provides a confidence scores for successful landings for alternative simulated landing options. The simulations and confidence scores take into account aircraft position, altitude, speed, and possible further problems with the aircraft for the both the current flight path and for each simulated alternative.

Abstract: A transportation system includes a traveling route, vehicles, and a service management device. The service management device includes a timetable generator that generates a timetable for each of the vehicles, and a communication device that is configured to receive passenger information at least from the vehicles or stops. The timetable generator calculates a boarding and alighting time estimate of the vehicle at the stop based on at least the passenger information such that a higher average speed of the vehicle between the stops and a longer dwell time of the vehicle at the stop are set for a longer boarding and alighting time estimate.

Abstract: Concepts and technologies are disclosed herein for an airport ground support equipment navigation system. In one embodiment, a computer can be trained to recognize obstacles and navigate ground support equipment along an airport apron, to identify obstacles along a path or route, and to determine how to control the ground support equipment to safely navigate the obstacles to reach its intended target at a designated time. The computer also can provide a graphical user interface to a display. The graphical user interface can include visual indications providing information to a user about an obstacle along a route of the vehicle on the airport apron and how the vehicle may safely continue on along the route while avoiding the obstacle. In some implementations, the computer may autonomously control the vehicle and drivers may override the computer.

Abstract: The present application relates to a system for providing alert notifications of possible vehicle contact events including a vehicle controller for determining a first velocity of a host vehicle, a sensor for determining a second velocity of a proximate vehicle, a processor configured for predicting a time of intersection of the first velocity and the second velocity generating a control signal in response to the time of intersection being less than a first threshold time, and a controller configured for providing a vehicle contact warning and performing a contact preparation action in response to the control signal.

Abstract: Disclosed is a system of providing a parking guidance service of a vehicle including a sensor unit including a plurality of sensors configured to sense an environment around the vehicle and a parking space, a database unit configured to store parking pattern data of a driver, a controller configured to determine a parking difficulty of the parking space based on information sensed by the sensor unit and parking pattern data of the driver, stored in the database unit, and an output unit configured to provide information on the parking difficulty of the parking space, determined by the controller.

Abstract: A method of controlling a parking process of a vehicle includes the following steps: identifying a driver; learning driver parameters during a manual parking process performed by the driver, and associating the driver parameters with the identified driver; determining parking parameters based on the driver parameters; and controlling, based on the parking parameters, an autonomous parking process of the vehicle performed by a parking assistance system.

Abstract: Systems and methods may be used for monitoring and identifying failure in flight management systems. For example, a method may include: calculating, using a first flight management system, a first value of a guidance command for controlling an aircraft for an RNP AP procedure; receiving a second value of the guidance command from a second flight management system; comparing the first value with the second value to determine whether the first value matches the second value; upon determining that the first value does not match the second value, using a flight management system monitor to determine, from the first flight management system and the second flight management system, a flight management system that has computed a correct value of the guidance command; and generating a message indicating that the determined flight management system is to be used to guide the aircraft.

Abstract: A method of controlling a gyroscopically-stabilized projectile, comprising a control system producing a control signal, a rotating aerodynamic shell, and a reaction mass system responsive to the control signal, the method comprising: imparting rotational and translational kinetic energy to induce gyroscopic stabilization of the projectile about a gyroscopic axis and a movement of the projectile along a flight path; interacting the shell with surrounding air while moving, to induce aerodynamic forces; generating the control signal from the control system; and altering a state of the reaction wheel system selectively in dependence on the control signal, to alter the flight path.

Abstract: A method for traffic prediction of a road network includes receiving past traffic information corresponding to multiple locations on the road network. The method further includes determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics over time and spatial characteristics of the past traffic information corresponding to interactions between locations on the road network. The method further includes predicting predicted traffic information corresponding to a later time based on the determined temporal and spatial characteristics of the past traffic information. The method further includes receiving detected additional traffic information corresponding to the later time.

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 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.