子分类：
| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 21 | Symbiotic Unmanned Aerial Vehicle and Unmanned Surface Vehicle System | US14498369 | 2014-09-26 | US20160018224A1 | 2016-01-21 | Volkan Isler; David Mulla; Pratap Tokekar; Joshua Vander Hook |
| A system includes an unmanned aerial vehicle and an unmanned surface vehicle. The unmanned aerial vehicle has a memory storing a plurality of collection points and at least one sensor for collecting sensor data from each of the collection points. The unmanned surface vehicle is capable of moving to a plurality of locations. The unmanned aerial vehicle travels through the air between at least two collection points stored in the memory and the unmanned aerial vehicle is carried between at least two collection points stored in the memory by the unmanned surface vehicle. | ||||||
| 22 | COMPUTERIZED NANO-SATELLITE PLATFORM FOR LARGE OCEAN VESSEL TRACKING | US13961875 | 2013-08-07 | US20140218242A1 | 2014-08-07 | Peter PLATZER |
| A tracking system employs a constellation of low earth orbit satellites to receive multiple vehicle tracking signals and based thereon, track within a system grid each vehicle under surveillance. The system can use AIS for ocean going vessels, ADS-B for aircraft, and AEI for trains. Use of the system permits extended tracking of key cargos and the protection of vehicles from piracy and the like. | ||||||
| 23 | HEDGING RISK IN JOURNEY PLANNING | US13600996 | 2012-08-31 | US20140067254A1 | 2014-03-06 | Michele Berlingerio; Adi I. Botea; Eric P. Bouillet; Francesco Calabrese; Lea A. Deleris; Donna L. Gresh; Olivier Verscheure |
| Embodiments of the disclosure include a computer system for journey planning, the computer system includes a journey planning server configured to perform a method. The method includes receiving a journey planning request, the journey planning request having an origin and a destination in a transportation network. The method also includes calculating an optimized journey plan by identifying a plurality of routes through the transportation network from the origin to the destination and determining an uncertainty associated with each of the plurality of routes. Calculating an optimized journey plan also includes evaluating a robustness of each of the plurality of routes to the uncertainty associated with each of the plurality of routes and selecting the optimized journey plan based on the journey planning request and the robustness of each of the plurality of routes. | ||||||
| 24 | TRANSPORTATION NETWORK SCHEDULING SYSTEM AND METHOD | US13311807 | 2011-12-06 | US20130144467A1 | 2013-06-06 | Joel Kickbusch; Jared Cooper; Joseph Noffsinger; Ajith Kuttannair Kumar; Mason Samuels; Paul Houpt; Mahir Telatar; David Eldredge; Mitchell Scott Wills; Ramu Chandra |
| A method includes forming a first schedule for a first vehicle to travel in a transportation network. The first schedule includes a first arrival time of the first vehicle at a scheduled location. The method also includes receiving a first trip plan for the first vehicle from an energy management system. The first trip plan is based on the first schedule and designates at least one of tractive efforts or braking efforts to be provided by the first vehicle to reduce at least one of an amount of energy consumed by the first vehicle or an amount of emissions generated by the first vehicle when the first vehicle travels through the transportation network to the scheduled location. The method further includes determining whether to modify the first schedule to avoid interfering with movement of one or more other vehicles by examining the trip plan for the first vehicle. | ||||||
| 25 | MANAGEMENT OF MOBILE OBJECTS | US15903084 | 2018-02-23 | US20180374358A1 | 2018-12-27 | Kazuhito Akiyama; Mari Abe Fukuda; Hiroya Ogihara; Taku Sasaki; Asuka Unno; Gaku Yamamoto |
| An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event. | ||||||
| 26 | SYSTEM AND METHOD FOR AUTOMATED HANDOFF BETWEEN UNMANNED AERIAL VEHICLES AND AUTONOMOUS GROUND VEHICLES | US15917995 | 2018-03-12 | US20180261112A1 | 2018-09-13 | John J. O'Brien |
| A system and method for facilitating a package exchange between a AGV and an UAV is disclosed, wherein the system and method includes authenticating the package exchange between the AGV and the UAV, wherein the AGV and the UAV each transmit authentication information to each other; determining a first set of positioning information, wherein the AGV utilizes mission information and information obtained from one or more sensors; determining a second set of positioning information, wherein the UAV utilizes mission information and information obtained from one or more sensors; transmitting the first set of positioning information from the AGV to the UAV; transmitting the second set of positioning information from the UAV to the AGV; exchanging the package between the AGV and the UAV in response to the transmitted first and second sets of positioning information; and transmitting a confirmation signal to a central server. | ||||||
| 27 | Method and vehicle traffic control system | US15283413 | 2016-10-02 | US09824599B1 | 2017-11-21 | Mark Lawrence Turner |
| A system and method of generating plan information for vehicles in a vehicle traffic or vehicle parking zone, including projecting into space, from a set of grid generators at the vehicle traffic or vehicle parking zone, a set of lines defining a relative navigation grid and encoded with grid data configured to identify predetermined points on the relative navigation grid, and detecting, with a detector module on a vehicle, a location of the vehicle within the grid. | ||||||
| 28 | Symbiotic unmanned aerial vehicle and unmanned surface vehicle system | US14498369 | 2014-09-26 | US09464902B2 | 2016-10-11 | Volkan Isler; David Mulla; Pratap Tokekar; Joshua Vander Hook |
| A system includes an unmanned aerial vehicle and an unmanned surface vehicle. The unmanned aerial vehicle has a memory storing a plurality of collection points and at least one sensor for collecting sensor data from each of the collection points. The unmanned surface vehicle is capable of moving to a plurality of locations. The unmanned aerial vehicle travels through the air between at least two collection points stored in the memory and the unmanned aerial vehicle is carried between at least two collection points stored in the memory by the unmanned surface vehicle. | ||||||
| 29 | Hedging risk in journey planning | US13600996 | 2012-08-31 | US09459108B2 | 2016-10-04 | Michele Berlingerio; Adi I. Botea; Eric P. Bouillet; Francesco Calabrese; Lea A. Deleris; Donna L. Gresh; Olivier Verscheure |
| Embodiments of the disclosure include a computer system for journey planning, the computer system includes a journey planning server configured to perform a method. The method includes receiving a journey planning request, the journey planning request having an origin and a destination in a transportation network. The method also includes calculating an optimized journey plan by identifying a plurality of routes through the transportation network from the origin to the destination and determining an uncertainty associated with each of the plurality of routes. Calculating an optimized journey plan also includes evaluating a robustness of each of the plurality of routes to the uncertainty associated with each of the plurality of routes and selecting the optimized journey plan based on the journey planning request and the robustness of each of the plurality of routes. | ||||||
| 30 | UNMANNED AERIAL VEHICLE AND METHOD OF CONTROLLING THE SAME | US14845988 | 2015-09-04 | US20160272317A1 | 2016-09-22 | Taehoon CHO; Choonghwan SHIN |
| An unmanned aerial vehicle according to the present invention includes a housing mounted on a vehicle and having an inner space, the housing provided with a launching unit, an unmanned aerial vehicle accommodated in the housing and configured to be launched from the housing when a driving state of the vehicle meets a preset condition, wing units mounted to the unmanned aerial vehicle and configured to allow the flight of the unmanned aerial vehicle in response to the launch from the housing, an output unit disposed on the unmanned aerial vehicle, and a controller configured to control the wing units to move the unmanned aerial vehicle to a position set based on information related to the driving state when the unmanned aerial vehicle is launched, and control the output unit to output warning information related to the driving state. | ||||||
| 31 | Procedure for automatically landing an aircraft | US12883845 | 2010-09-16 | US09443437B2 | 2016-09-13 | Manfred Hiebl |
| A procedure and system are provided for automatically landing an aircraft, particularly an unmanned aircraft on a moving, particularly floating landing platform, for example, on an aircraft carrier, the aircraft being equipped with an automatic navigation device and an automatic landing control device. The procedure includes detecting the position of an intended landing spot, detecting motion data of the landing platform, determining at least one imminent point in time at which the landing spot takes up a reference position, transmitting the point in time and the reference position of the landing spot to the landing control device of the aircraft, and controlling the aircraft such that it reaches the landing spot at the point in time. | ||||||
| 32 | SYSTEM AND METHOD FOR AIRSIDE ACTIVITY MANAGEMENT USING VIDEO ANALYTICS | US14813152 | 2015-07-30 | US20160039534A1 | 2016-02-11 | ASHUTOSH AGRAWAL |
| A system and method for airside activity management using video analytics are disclosed. In one embodiment, video data of a survey area is obtained, in real time, from one or more video cameras. Further, time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff are determined by applying video analytics on the obtained video data to manage the one or more airside activities. | ||||||
| 33 | TRANSPORTATION SCHEDULING SYSTEM AND METHOD | US13303555 | 2011-11-23 | US20130131968A1 | 2013-05-23 | Mitchell Scott Wills |
| A system includes an energy module and a scheduling module. The energy module is configured to determine a first consumption parameter representative of a first amount of energy that is projected to be expended by a first vehicle during an upcoming movement event involving the first vehicle. The energy module is configured to determine the first consumption parameter as the first vehicle moves along a route toward a destination location and prior to the first vehicle taking part in the upcoming movement event. The scheduling module is configured to receive the first consumption parameter from the energy module and to at least one of create or modify a first schedule for the first vehicle to move along the route based on the first consumption parameter. | ||||||
| 34 | System and Method for Assessing the Risk of Conjunction of a Rocket Body with Orbiting and Non-Orbiting Platforms | US12837959 | 2010-07-16 | US20120016541A1 | 2012-01-19 | Salvatore Alfano |
| A system and method for assessing the risk of conjunction of a rocket body with orbiting and non-orbiting platforms. Two-body orbital dynamics are used to initially determine the kinematic access for a ballistic vehicle. The access may be represented in two ways: as a volume relative to its launcher and also as a geographical footprint relative to a target position that encompasses all possible launcher locations. | ||||||
| 35 | Procedure for Automatically Landing an Aircraft | US12883845 | 2010-09-16 | US20110066307A1 | 2011-03-17 | Manfred HIEBL |
| A procedure and system are provided for automatically landing an aircraft, particularly an unmanned aircraft on a moving, particularly floating landing platform, for example, on an aircraft carrier, the aircraft being equipped with an automatic navigation device and an automatic landing control device. The procedure includes detecting the position of an intended landing spot, detecting motion data of the landing platform, determining at least one imminent point in time at which the landing spot takes up a reference position, transmitting the point in time and the reference position of the landing spot to the landing control device of the aircraft, and controlling the aircraft such that it reaches the landing spot at the point in time. | ||||||
| 36 | Control and communication system and method | US10499775 | 2002-12-17 | US20050090978A1 | 2005-04-28 | Zsigmond Bathory; Laszlo Repasi-Nagy |
| The invention relates to a control and communication system and method for objects, the system comprising an object space-information database in an object centre of the object, the database storing an object plan for the object, wherein the control of the object is adjusted to the object plan, a regional control centre having a regional space-information database storing a regional plan, and a main control centre having a central space-information database storing a central plan. The central plan approved by the regional control centres is prepared by the main control centre, the regional plans are updated at the regional control centres on the basis of the central plan, and the object plans are updated at the object centres on the basis of the regional plans. | ||||||
| 37 | AIRCRAFT CONTROL DEVICE, AIRCRAFT, AND METHOD FOR COMPUTING AIRCRAFT TRAJECTORY | EP16827646 | 2016-07-11 | EP3255371A4 | 2018-01-17 | YAMASAKI KOICHI |
| In the present invention, an aircraft control device computes the trajectories of a plurality of formation-flying aircraft using a calculation method; e.g., direct collocation with nonlinear programming (DCNLP), in which the optimal solution is obtained by discretizing continuous variables. Trajectory-indicating nodes are computed and set by plugging discretized aircraft control variables into an aircraft motion equation or by using another method. Using discretization to address aircraft trajectories reduces complexity and allows the trajectories to computed more rapidly than with computations involving chronologically contiguous aircraft trajectories. The aircraft control device determines the optimal trajectory, among trajectories that comply with constraints corresponding to the role of the aircraft, on the basis of an assessment value obtained by an objective function corresponding with the role. Accordingly, the aircraft control device is capable of performing computations more rapidly on more suitable trajectories corresponding with the role of the aircraft. | ||||||
| 38 | DIAGRAM GENERATING METHOD | EP15758938 | 2015-01-27 | EP3115985A4 | 2017-08-09 | AKIBA TAKASHI; YAMANE FUMIYUKI |
| A diagram creating method includes a first step and a second step. The first step includes generating a group of candidates for departure times at a first spot with reference to a temporal distribution of demand for movement to a second spot at the first spot and a minimum capacity among capacities of available vehicles. The second step includes creating a diagram from the first spot to the second spot by determining a type of vehicle which departs at one departure time from a group of types of the available vehicles for each candidate for a departure time belonging to the group of candidates for departure times. The group of types includes a type of vehicle indicating that the type of vehicle does not depart at the departure time. | ||||||
| 39 | DIAGRAM GENERATING METHOD | EP15758938.3 | 2015-01-27 | EP3115985A1 | 2017-01-11 | AKIBA Takashi; YAMANE Fumiyuki |
A diagram creating method includes a first step and a second step. The first step includes generating a group of candidates for departure times at a first spot with reference to a temporal distribution of demand for movement to a second spot at the first spot and a minimum capacity among capacities of available vehicles. The second step includes creating a diagram from the first spot to the second spot by determining a type of vehicle which departs at one departure time from a group of types of the available vehicles for each candidate for a departure time belonging to the group of candidates for departure times. The group of types includes a type of vehicle indicating that the type of vehicle does not depart at the departure time. |
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| 40 | Verfahren zum automatischen Landen eines Luftfahrzeuges | EP10009244.4 | 2010-09-06 | EP2343618A2 | 2011-07-13 | Hiebl, Manfred |
Ein Verfahren zum automatischen Landen eines Luftfahrzeugs (3), insbesondere eines unbemannten Luftfahrzeugs, auf einer bewegten, insbesondere schwimmenden, Landeplattform (10) wie beispielsweise auf einem Flugzeugträger (1), wobei das Luftfahrzeug mit automatischen Navigationseinrichtungen und einer automatischen Landesteuerungseinrichtung versehen ist, weist folgende Schritte auf: |
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