Abstract: A brake noise at stationary steering is prevented while brake hold being in operation, in automated steering with parking assist control.

Abstract: A method for tracking includes obtaining an infrared image and a visible image from an imaging device supported by a carrier of an unmanned aerial vehicle (UAV), combining the infrared image and the visible image to obtain a combined image, identifying a target in the combined image, and controlling at least one of the UAV, the carrier, or the imaging device to track the identified target. Combing the infrared image and the visible image includes matching the infrared image and the visible image based on matching results of different matching methods.

Abstract: A high precision position estimation method through a road shape classification-based map matching implemented by a high precision position estimation system of an autonomous vehicle includes classifying a road into a straight lane, a curved lane, and a clothoid curve lane by the lane matching between a sensor lane segment and a map lane segment, generating a movement amount value calculated by applying a geometric feature-based map matching or an optimization-based map matching to the classified lane as a covariance matrix, and calculating the latitude, longitude, and traveling direction of a vehicle to be estimated by combining the covariance matrix with sensor measurement values of a vehicle speed and a yaw rate by an extended Kalman filter.

Abstract: Systems and methods involving obtaining point cloud data from one or more sources corresponding to one or more zones within a real-world space, the point cloud data representing surface features of structures detected within the one or more zones; defining a plurality of first-level nodes based on the point cloud data, individual first-level nodes corresponding to obtained point cloud data corresponding to individual zones of the one or more zones; identifying connections between two or more first-level nodes, the connections between the two or more first-level nodes based on connections between the point cloud data for the zones corresponding to the two or more first-level nodes; and defining a plurality of second-level nodes, individual second-level nodes corresponding to aggregated subsets of first-level nodes for which connections are identified.

Abstract: A method for detecting and reporting anomalies in operation of an aircraft. The method including the steps of: receiving real time data indicative of the operation of the aircraft, the real time data including at least one of the following parameters: ground speed, rate of deceleration of the aircraft, touchdown location, aircraft route, timing of aircraft route, ground movement activities and a maximum landing distance; based on the collected real time data, calculating a predicted performance of the aircraft, and alerting an operator when the predicted performance is outside of an acceptable performance for the aircraft.

Abstract: Methods and systems for deploying autonomous vehicles to form a barricade in a coordinated response to an imminent threat are described. In one embodiment, a method for deploying autonomous vehicles to form a barricade is described. The method includes determining at least one location for a barricade and determining a plurality of autonomous vehicles that are available to form the barricade. The method also includes sending instructions to the plurality of autonomous vehicles to form the barricade at the at least one location. In response to the instructions, the plurality of autonomous vehicles are configured to move to the at least one location and form the barricade.

Abstract: Aspects of the disclosure provide for the generation of a driving difficulty heat map for autonomous vehicles. For instance, log data generated by a vehicle being driven in a manual driving mode for a segment of a route may be input into a disengage model in order to generate an output identifying a likelihood of a vehicle driving in an autonomous driving mode requiring a disengage from the autonomous driving mode along the segment of the route. The log data may have been collected within a geographic area. A grid for the geographic area may be generated. The grid may include a plurality of cells. The output is assigned to one of the plurality of cells. The plurality of cells and assigned output may be used to generate a driving difficulty heat map for the geographic area.

Abstract: A method controlling a vehicle moving along a guideway for magnetic flight is provided. The method includes receiving, at a controller, data generated by one or more sensors. The controller receives data relating to a projected flight path of the vehicle. The controller determines an altitude of the vehicle relative to the guideway for magnetic flight and determines a speed of the vehicle relative to the guideway for magnetic flight. The controller then calculates a deviation of the vehicle from the projected flight path. The controller adjusts the altitude of the vehicle relative to the guideway for magnetic flight by changing certain aspects of a magnetic flight suspension system causing the vehicle to more closely track the projected flight path.

Abstract: A maintenance prediction system for generating one or more recommended actions for an individual to perform upon a vehicle is disclosed, and includes a camera configured to capture image data of one or more components of interest and image data of one or more body size parameters of the individual. The maintenance prediction system also includes one or more assembly databases storing three-dimensional model data representing components of the vehicle, one or more processors in electronic communication with the camera and the one or more assembly databases, and a memory coupled to the one or more processors. The maintenance prediction system generates one or more notifications indicating the recommended actions for the individual to perform upon the vehicle.

Abstract: Provided is a control technique for achieving formation control which is applicable even when there is a non-connection location in a common portion between a set of initial positions of robot units and a set of target positions of the robot units.

Abstract: Methods are provided for remotely starting up one or a plurality of vehicles. These methods involve starting up hardware and/or software modules of the vehicle in a particular order so as to account for dependencies among the various modules. In one form, states of various hardware and/or software modules in the vehicle, and errors observed in starting up various modules and troubleshooting is applied in an automated manner. Moreover, the methods may involve ensure proper startup of modules for performing a localization procedure for the vehicle.

Abstract: A travel path data generation apparatus for generating travel path data inside an intersections for automated driving includes a travel path data generator that generates the data of the travel path in such a way that, using an absolute trajectory of actual traveling of a vehicle inside the intersection, the travel path data generator fits an estimated trajectory of the actual traveling of the vehicle inside the intersection into data of lane network connected to the intersection.

Abstract: An automatic driving vehicle includes a touch panel that displays various buttons. An operator can input a drive control instruction in relation to the automatic driving vehicle, with the buttons displayed on the touch panel. In addition to the touch panel, the automatic driving vehicle includes a mechanical door switch for opening and closing an automatic door and a mechanical ramp switch for extending and retracting an automatic ramp, both being disposed spaced apart from the touch panel.

Abstract: A vehicle includes a cabin having a first room and a second room that are capable of accommodating at least one passenger, and configured to isolate one or more passengers accommodated in the first room from one or more passengers accommodated in the second room, a guidance apparatus configured to guide the at least one passenger to be accommodated in either the first room or the second room, and a control apparatus configured to control the guidance apparatus. When a user boards as the at least one passenger, the control apparatus determines which of the first room and the second room the user is to board, based on information regarding the user. The guidance apparatus is configured to guide and board the user to whichever of the first room and the second room determined by the control apparatus.

Abstract: Methods and systems for deploying autonomous vehicles to form a barricade in a coordinated response to an imminent threat are described. In one embodiment, a method for deploying autonomous vehicles to form a barricade is described. The method includes determining at least one location for a barricade and determining a plurality of autonomous vehicles that are available to form the barricade. The method also includes sending instructions to the plurality of autonomous vehicles to form the barricade at the at least one location. In response to the instructions, the plurality of autonomous vehicles are configured to move to the at least one location and form the barricade.

Abstract: Methods and systems for vehicle localization are provided herein. An example method can include obtaining a map within an operating area. A location within the operating area is associated with a pattern of speed bumps that is configured to produce a vehicle pitch response from the vehicle when the vehicle travels over the pattern of speed bumps. The method can include obtaining motion sensor information from a vehicle sensor, determining when the motion sensor information matches the vehicle pitch response, and determining that the vehicle is in the location when the motion sensor information corresponds to the vehicle pitch response of the location.

Abstract: Vehicle position is determined using magnetic field measurements within an indoor environment. Magnetic field measurements and sensor information are obtained from the vehicle and magnetic map information is obtained for the indoor environment. Parameters of vehicle motion are derived from the sensor information. The magnetic field measurements are processed to mitigate vehicular interference and then compensated for a magnetometer bias induced at least in part by the vehicle. Vehicle position is determined based at least in part on the compensated magnetic field magnetic measurements, the magnetic map information and the parameters of vehicle motion.

Abstract: A system communicates with a plurality of vehicles onsite at a parking garage. The system determines an eventual intended destination for each respective vehicle of the plurality of vehicles and determines a path through the garage for each respective vehicle, to the destination for the respective vehicle. The system may segment the path into a plurality of shorter tasks for the respective vehicle, wherein each task moves the respective vehicle along the path until a point where the respective vehicle encounters an obstruction and instruct the respective vehicle to execute the shorter tasks for the respective vehicle.

Abstract: A computer-implemented method for tracking includes obtaining an infrared image and a visible image from an imaging device supported by a carrier of an unmanned aerial vehicle (UAV), obtaining a combined image based on the infrared image and the visible image, identifying a target in the combined image, and generating control signals for tracking the identified target using the imaging device.

Abstract: In a vehicle control system (1, 101), a control unit (15) is configured to execute a stop process by which the vehicle is parked in a prescribed stop position located within a permitted distance when it is detected that the control unit or the driver has become incapable of properly maintaining a traveling state of the vehicle, and, in executing the stop process, the control unit computes an agreement between an object (X) contained in the map information based on an estimated position of the vehicle and an object (Y) on the road detected by an external environment recognition device (6), the permitted distance being smaller when the agreement is below a prescribed agreement threshold than when the agreement is equal to or above the agreement threshold.