Abstract: Example systems and methods are disclosed for implementing vehicle operation limits to prevent vehicle load failure during vehicle teleoperation. The method may include receiving sensor data from sensors on a vehicle that carries a load. The vehicle may be controlled by a remote control system. The load weight and dimensions may be determined based on the sensor data. In order to prevent a vehicle load failure, a forward velocity limit and an angular velocity limit may be calculated. Vehicle load failures may include the vehicle tipping over, the load tipping over, the load sliding off of the vehicle, or collisions. The vehicle carrying the load may be restricted from exceeding the forward velocity limit and/or the angular velocity limit during vehicle operation. The remote control system may display a user interface indicating to a remote operator the forward velocity limit and the angular velocity limit.

Abstract: An information interaction method and device. The method includes: acquiring a destination; displaying a real scene picture of a landmark at the destination; and sending the real scene picture of the destination landmark to a specified friend.

Abstract: A system and method for generating traffic reports is described. The system receives a set of inputs specifying at least a geographical region, a first period of time, and a second period of time. The system then identifies one or more streets within at least a threshold proximity of the specified geographical region and aggregates traffic information for the one or more streets over the first period of time and the second period of time, respectively. Further, the system generates a traffic report for the geographical region based at least in part on a comparison of the aggregated traffic information for the first period of time with the aggregated traffic information for the second period of time.

Abstract: A parking assist device for assisting parking of a vehicle, includes: a detecting unit that detects whether there is any obstacle and detects available parking areas for the vehicle, on the basis of a taken image of the surrounding area of the vehicle; and a selecting unit that selects an available parking area where the vehicle is parked with low risk of contact with the obstacle, from the detected available parking areas, on the basis of whether there is the obstacle.

Abstract: Vehicle control systems and methods for controlling a vehicle using behavior profiles of neighboring vehicles are disclosed. In one embodiment, a vehicle control system of a vehicle includes one or more processors and one or more non-transitory memory modules communicatively coupled to the one or more processors and storing machine-readable instructions that, when executed, cause the one or more processors to perform at least at the following: detect a neighboring vehicle within an environment, determine an autonomous software version executed by the neighboring vehicle, determine a behavior profile associated with the autonomous software version, and control one or more vehicle systems of the vehicle based at least in part on the behavior profile associated with the autonomous software version.

Abstract: A neural network may be utilized for autonomously driving a self-driving vehicle (SDV). The neural network can establish a destination location in local coordinates relative to the SDV. The neural network may then identify one or more navigation points in a forward operational direction of the SDV, and process sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV. Utilizing the sensor data, the neural network can operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location.

Abstract: Techniques described herein include a platform for providing user interaction with a vehicle's functions on a mobile device. In some embodiments, the vehicle and mobile device may both be in communication with a service provider computer, that may facilitate communications between the two. In some embodiments, a user is provided with various details related to the vehicle's condition as well as a list of functions that may be initiated by the user. The user is able to select one or more of the listed functions to be performed by the vehicle while located any distance from the vehicle. In some embodiments, the service provider computer may determine whether the user is authorized to initiate a particular vehicle function. Upon selection of a vehicle function from the list of vehicle functions, a processor device in the vehicle executes the function.

Abstract: A vehicle control and interconnection comprises a user interface that couples to a display. The user interface has modes of display information that vary based upon a task of a vehicle operator. The modes include a driving mode that reduces menu options available to the operator to those functions related to driving, and enlarges touch screen control icons associated with the displayed functions. Moreover, the modes include at least one non-driving mode that displays information with relatively smaller touch screen control icons compared to the control icons in the driving mode. The system interface also comprises a vehicle interface that couples to at least one vehicle sub system to communicate with vehicle-installed electronic peripherals.

Abstract: A system and method includes a structural body, a plurality of structural health monitoring (SHM) sensors, and first and second computer systems. The structural body includes a plurality of structures. The SHM sensors are configured to sense structural health data for a plurality of zones of the structures. The first computer system is configured to collect the structural health data from the SHM sensors. The second computer system includes a display and is configured to receive the structural health data from the first computer system and groups the zones into a plurality of structural regions, and groups the plurality of structural regions into at least one structural area. The display is configured to provide a visual representation of a structural region health of a first one of the plurality of structural regions based on the structural data for respective ones of the zones within the first one of the plurality of structural regions.

Abstract: The present disclosure relates to an apparatus for extracting vibration of a hybrid vehicle, and more particularly, to an apparatus and a method of extracting vibration of a hybrid vehicle by varying a target vibration frequency. An apparatus for extracting vibration of a hybrid electric vehicle includes: an engine and a driving motor, which are power sources; a starter motor/generator connected to the engine; and a control unit configured to measure a motor speed of the starter motor/generator, to generate a speed variation quantity based on the motor speed of the starter motor/generator, to calculate a vibration frequency of the engine when the speed variation quantity exceeds a reference value, to set a filter band based on the vibration frequency of the engine, and to extract, with the filter band, a vibration of the engine.

Abstract: A course prediction method uses a position acquisition circuit configured to acquire a position of a surrounding vehicle and a course prediction circuit configured to predict a course of a host vehicle based on a traveling path of the surrounding vehicle obtained from a history of the position of the surrounding vehicle. In the course prediction method, the course of the host vehicle is predicted by increasing or reducing the size of the traveling path of the surrounding vehicle, based on a turning direction and a lateral position of the surrounding vehicle.

Abstract: A system of autonomous vehicles for forming a team of autonomous vehicles to perform a designated set of tasks. Each vehicle stores data representing its own capabilities that match the tasks, data representing needed capabilities for the team to perform the tasks, and data representing the capabilities of all current team members. Each of the vehicles is equipped with a communications system operable to send and receive join request messages and join response messages. All join request message contain the capabilities of the sending vehicle. All join response messages contain current team capabilities data. Upon receipt of a join request message, a vehicle compares needed capabilities data to the received capabilities data, and if there are matched capabilities, it updates the team capabilities data and transmits a join response message. Upon receipt of a join response message, if the message indicates the sending vehicle has joined the team, the receiving vehicle updates the team capabilities list.

Abstract: Disclosed herein are example embodiments for unoccupied flying vehicle (UFV) location assurance. For certain example embodiments, at least one machine, such as a UFV, may: (i) obtain one or more satellite positioning system (SPS) coordinates corresponding to at least an apparent location of at least one UFV; or (ii) perform at least one analysis that uses at least one or more SPS coordinates and at least one assurance token. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.

Abstract: Systems and methods are provided for customizing a search and rescue (SAR) pattern for an aircraft. A search and rescue pattern system (SARPS) is configured to obtain SAR mission information from a SAR information database, weather information from a weather source, terrain information from a terrain database, and the flight traffic information. The SARPS is further configured to generate a customized SAR pattern using the obtained mission information, the weather information, the terrain information, and the flight traffic information. A display is configured to display the customized SAR pattern and a flight management system (FMS) is configured to receive the customized SAR pattern.

Abstract: Disclosed is a method for automatically controlling a blade of a motor grader. At least one global navigation satellite system (GNSS) antenna and at least one inertial measurement unit (IMU) are mounted on the motor grader. No GNSS antenna is mounted on the blade; and no pole is used for mounting. With each GNSS antenna, GNSS navigation signals are received, and a position of each GNSS antenna is computed. With each IMU, three orthogonal accelerations and three orthogonal angular rotation rates are measured. With at least one processor, a blade position and a blade orientation are computed, based at least in part on the GNSS and IMU measurements. The blade elevation and the blade slope angle (and, in some embodiments, the blade side shift) are automatically controlled, based at least in part on the computed blade position, the computed blade orientation, and a digital job site model.

Abstract: An electronic apparatus for indoor positioning navigation, a method thereof, and a system thereof are provided. The electronic apparatus includes a transceiver for receiving near field wireless signals, a sensor for detecting motion of the electronic apparatus, a display, and at least one processor configured to determine if building map data of a building is received through the transceiver, generate a navigations map according to a type of the received building map data when the building map data is received, and control the display to display, a map matching a position of the electronic apparatus to a position of a destination of the electronic apparatus on the generated navigation map, by using one among intensity information of the wireless signals received through the transceiver and the motion information of the electronic apparatus detected through the sensor.

Abstract: A method for controlling data acquired from vehicles, wherein case data are anonymized and provides data reduction. Control exists between the units of each vehicle, between the vehicles and a backend of the system, between the units of the backend, and also between the units of the backend and at least one external service provider. The data are reduced by avoiding the transmission of redundant data or by avoiding unnecessary data acquisition.

Abstract: Disclosed herein are a traffic prediction system, a vehicle-mounted display apparatus, a vehicle, and a traffic prediction method. The traffic prediction system includes: a vehicle configured to acquire a driving probability for at least one drivable route; and a server apparatus configured to receive the driving probability for the at least one drivable route from the vehicle, and to calculate a volume of traffic for the at least one drivable route based on the driving probability for the at least one drivable route.

Abstract: Presented are techniques of identifying, processing and displaying data point clusters (850, 851) associated with map information (200) in an efficient manner. Methods and systems are disclosed which process map information (200) to identify clusters (850, 851) of requested data points for display (1020), based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons (1860, 1861, 1901-05) representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Abstract: A vehicle system includes a control unit with a weather module configured to receive weather data and to identify a wind shear zone at a location based on the weather data, the weather module further configured to generate wind shear coordinate data and wind shear characteristic data based on the weather data. The control unit further includes a display module configured to generate display commands based on the wind shear coordinate data and wind shear characteristic data from the weather module. The vehicle system further includes a display device coupled to receive the display commands from the control unit and configured to display a three-dimensional forward perspective view corresponding to a vehicle environment. The display device is further configured to display first wind shear symbology within the view at a position that indicates the location of the wind shear zone.