Abstract: Systems and methods for providing inter-vehicle communication are disclosed. The method includes receiving, at a fleet management system, operating data from one or more self-driving vehicles via a communication network, and operating the fleet management system to determine a characteristic of a set of vehicles of one or more self-driving vehicles satisfies at least one communication condition. In response to determining the set of vehicles satisfies the at least one communication condition, the fleet management system can operate to select a stored data portion from a manager storage unit based at least on the characteristic of the set of vehicles; and transmit the data portion to the set of vehicles via the communication network. A method of providing inter-vehicle communication between one or more self-driving vehicles is also disclosed.

Abstract: Aspects of the disclosure include apparatus for and methods of facilitating transfer of objects using a crane. Disclosed apparatuses include a target tracking device mounted on or near a crane at a first location, and a target located near a landing location for the object. The target tracking device and the target facilitate real time determination of relative motion between the two locations. Methods of using the same are also disclosed.

Abstract: A computing device generates a graphical user interface displaying a three-dimensional representation of the site comprising a position of a vehicle capable of moving material within the site and a target location within the site for the vehicle to move material. The computing device transmits a set of instructions for the vehicle to move a volume of material from the target location. The computing device receives sensor data describing a depth of the target location, a current volume of material moved from the target location, and a position of the vehicle. The graphical user interface displayed on the computing device is modified to display the current depth of the target location, and the position of the vehicle relative to the target location. The computing device modifies the set of instructions based on the received sensor data and provides the modified set of instructions to the vehicle.

Abstract: A vehicle control system provided with a first detection unit and a second detection unit, which are configured to acquire peripheral information of a self-vehicle, comprises: a control unit that performs traveling control of the self-vehicle using the peripheral information, wherein when switching from a first traveling state using peripheral information detected by the first detection unit to a second traveling state using peripheral information detected by the second detection unit is performed, the control unit suppresses a control amount based on the peripheral information of the self-vehicle.

Abstract: A method for at least partially unblocking a field of view of a motor vehicle. The method includes: locating, by a sensor system of the motor vehicle, other vehicles on a present lane of the motor vehicle in at least one of a front space of the motor vehicle and a rear space of the motor vehicle; determining, by a determination unit of the motor vehicle, if at least one of the other vehicles at least partially blocks the field of view of the motor vehicle on the present lane; deciding, by a decision unit of the motor vehicle, if a driving situation requires reducing a blocking of the field of view; and communicating, by a communication device of the motor vehicle, when the blocking of the field of view is to be reduced, a request to the other vehicles at least partially blocking the field of view of the motor vehicle to maneuver within the present lane to reduce the blocking of the field of view of the motor vehicle.

Abstract: A system for creating a driving route of a vehicle includes: a vehicle selecting device to select a surrounding vehicle that is adjacent to a host vehicle; an intention determining device to determine an intention of the surrounding vehicle by using information including a location and a speed of the surrounding vehicle; a driving route predicting device to predict a driving route of the surrounding vehicle based on the determined intention of the surrounding vehicle; a map creating device to create a map by using the predicted driving route of the surrounding vehicle; and a driving route creating device to create a driving route of the host vehicle.

Abstract: In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.

Abstract: Behavior information input unit (54) receives stop-behavior information about vehicle (100) from automatic-driving control device (30). Image-and-sound output unit (51) outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle (100) is to be excluded from a determination object in automatic-driving control device (30) to notification device (2), when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit (50) receives a response signal for excluding the collision possibility from the determination object. Command output unit (55) outputs a command to exclude the collision possibility from the determination object to automatic-driving control device (30).

Abstract: Provided are embodiments including a method, system and computer program product for collecting aircraft performance data using smart applications. Some embodiments include receiving sensor data from one or more sensors of one or more user devices associated with an aircraft, and detecting an aircraft event of the aircraft based at least in part on the sensor data. Embodiments can also include analyzing performance of the aircraft by comparing the sensor data with historical data for the aircraft event responsive to detecting the aircraft event, and mapping the performance of the aircraft to the received sensor data.

Abstract: A method and apparatus that control lateral movement of a vehicle are provided. The method includes receiving vehicle information and path information of the vehicle, determining a center of vehicle rotation from the vehicle information, minimizing a path tracking error based on the path information of the vehicle, determining a road wheel angle command or a steering torque command using non-linear optimization based on the minimized path tracking error, and controlling an actuator according to the road wheel angle command or steering torque command.

Abstract: A vehicle driving apparatus, configured to drive a vehicle including first and second wheels, includes first and second motors, first and second power transmission mechanisms, and a controller. The first motor is configured to generate first driving torque that rotates the first wheel. The second motor is configured to generate second driving torque that rotates the second wheel in a direction same as a direction in which the first wheel is rotated. The first and second power transmission mechanisms are configured to transmit the first and second driving torque from the first and second motors to the first and second wheels, respectively. The controller is configured to perform torque distribution control in a case where a gear rattle occurrence condition is satisfied. The torque distribution control drives the first motor to thereby decrease the first driving torque and drives the second motor to thereby increase the second driving torque.

Abstract: A technique includes providing real-time collective and collaborative navigation for one or more users to navigate to a destination. Each computing device associated with a member includes navigation objects that is pooled in a server and updated on each client device of users as one or more users navigate to a destination. A set of navigation objects may be created and distributed to the members within the group for the session, whereby the navigation objects are data structures that may be managed by a server. Based on a contextual trigger, the navigation object may be created or modified and used to provide a context to the navigation session. Navigation objects may continuously analyze user context and user situations to detect anomalies for one or more members in the group.

Abstract: A method for localization and mapping, including recording an image at a camera mounted to a vehicle, the vehicle associated with a global system location; identifying a landmark depicted in the image with a landmark identification module of a computing system associated with the vehicle, the identified landmark having a landmark geographic location and a known parameter; extracting a set of landmark parameters from the image with a feature extraction module of the computing system; determining, at the computing system, a relative position between the vehicle and the landmark geographic location based on a comparison between the extracted set of landmark parameters and the known parameter; and updating, at the computing system, the global system location based on the relative position.

Abstract: A method for predicting a low visibility set-up option for an airport moving map includes determining a visibility at a particular airport and predicting a low visibility set-up option for an airport moving map for the particular airport in response to the visibility being below a predetermined value. The method also includes retrieving from a data storage device the low visibility set-up option for the airport moving map in response to predicting the low visibility set-up. The method additionally includes applying the low visibility set-up option to the airport moving map for the particular airport. The method further includes presenting the airport moving map on a display including geospatial low visibility information based on the low visibility set-up option.

Abstract: In a method for operating a self-traveling floor treatment apparatus, a recording device of the floor treatment apparatus records a recording of an environment of the floor treatment apparatus, which concerns a time period, and the recording is displayed for a user of the floor treatment apparatus on a screen. In order to allow correction of error conditions, the recording is stored and, in case of a defined environmental event and/or apparatus condition of the floor treatment apparatus, a time-defined partial sequence is subsequently extracted from the stored recording and displayed on the screen.

Abstract: A mobile machine includes a sensor that generates a sensor signal indicative of ozone gas concentration. A power cable proximate the mobile machine, is identified based on the sensor signal. An avoidance action, is identified in response to determining that the power cable is proximate the mobile machine, and a control signal is generated based on the identified avoidance action.

Abstract: The autonomously driving vehicle is fitted with a GPS unit to which a library of points of interest is assigned, and comprises a human-machine interface that is connected to the GPS unit and which comprises at least one of the following input means for the input of a command for the most immediate possible stopping of the vehicle: a unit for speech input that is connected to the interface, a module for recognizing gestures that is connected to the interface, and a touch-sensitive screen that is connected to the interface.

Abstract: A method of root cause diagnosis of fault data from a vehicle includes identifying a first vehicle fault and selecting from field repair data a vehicle feature corresponding to the identified first vehicle fault. The method also includes identifying from the field repair data an effective repair of the identified first vehicle fault. The method additionally includes training and testing via a machine learning algorithm, a labor code classifier using the identified effective repair of the first vehicle fault and the selected vehicle feature corresponding to the identified first vehicle fault. The method also includes identifying and classifying, using the trained classifier, indistinguishable labor codes. Furthermore, the method includes communicating the identified and classified indistinguishable labor codes for diagnosing a root cause of real time first vehicle fault data.

Abstract: A road friction is determined for a road location based on a traffic speed determined from respective speeds of each of a plurality of vehicles. A vehicle can be operated based on the determined road friction.

Abstract: In this vehicle control device, a low-level short-term trajectory generating unit generates a short-term trajectory by using the newest dynamic external environment recognition information while also using the same static external environment recognition information (lane shape information, or the like) as the static external environment recognition information used by a high-level medium-term trajectory generating unit. Performing such control prevents inconsistency between the external environment information (environmental information) used by the low-level short-term trajectory generating unit and that used for a medium-term trajectory, which is a high-level trajectory, and makes stable trajectory output possible.