Abstract: This patent application discloses methods and systems for alerting computerized motor-vehicles about predicted accidents. In an example method, a motor vehicle alerts another motor vehicle about a predicted accident, even though that accident is between the alerting car and a third motor vehicle—for example, the alert is transmitted by non-visual electromagnetic (EM) radiation. When an adjacent motor vehicle receives such accident alert and determines it might itself be hit, it will react so as to minimize its chances of being hit or at least to minimize the damage if it is being hit. Optionally, one or more of the motor vehicles has an onboard device for measuring a blood-alcohol level of a human driver thereof. The measured blood-alcohol level may be used to compute a probability of an occurrence of an accident and/or may be included in one or more of the transmitted accident alerts.

Abstract: A sensor system for a vehicle including a first camera sensor and a second camera sensor configured to be mounted spaced apart from one another on a vehicle. A sensor module of the sensor system is configured to generate a three-dimensional image of an environment about the vehicle based on data collected by the first camera sensor and the second camera sensor.

Abstract: A method for the assisted emergency braking of a vehicle, in which the lateral and/or the longitudinal guidance of the vehicle are/is influenced in such a way that the vehicle is guided in the direction of a safety zone, and when the safety zone has been reached, a parking position, in particular within the safety zone, is ascertained for the vehicle, the vehicle being guided in such a way that the vehicle comes to a standstill in the parking position.

Abstract: A flexible flight control system enables conversion from one architecture using one type of inceptor to another architecture using another type of inceptor, through the usage of modular software and hardware pieces with common interfaces among the different types of inceptors. Longitudinal and lateral directional control laws are adapted to be compatible with the specific aspects of the operation of each configuration/architecture, giving the option to the aircraft operator to choose any one of a number of inceptor architectures at time of manufacture.

Abstract: One embodiment describes an inertial system. The system includes a gyroscope system comprising a plurality of gyroscopes. The gyroscope system can be configured to provide rotation rate data associated with rotation of the plurality of gyroscopes about a respective plurality of sensitive axes. The system also includes a rotation sensor system configured to calculate navigation data based on the rotation rate data. The rotation sensor system includes a self-calibration component configured to designate a first gyroscope of the plurality of gyroscopes for self-calibration during operation of the inertial system and to inject a calibration input signal into the first gyroscope. The self-calibration component being configured to calibrate the first gyroscope based on the rotation rate data of the first gyroscope corresponding to the calibration input signal relative to the rotation rate data associated with a remaining at least one of the plurality of gyroscopes.

Abstract: A method, system, and/or computer program product creates an unimpeded pathway on a roadway for a first self-driving vehicle (SDV). One or more processor(s) determine a first vehicle priority level of the first SDV by determining that a current planned destination of the first SDV is a health care facility, an electronic calendar has no appointment entry on a current date for a passenger of the SDV at the health care facility, and thus the passenger is making an emergency visit to the health care facility. The processor(s) determine that the first vehicle priority level is higher than the other vehicle priority levels. The processor(s) then direct SDV on-board computers on other SDVs to adjust spacing distances between the other SDVs, such that adjusted spacing distances between the SDVs provide a pathway including unobstructed lane changes for the first SDV, permitting the first SDV to maneuver in an unimpeded manner.

Abstract: A method, system, and/or computer program product controls movement of one or more self-driving vehicles within a delineated vehicular area. One or more processor(s) receive an input defining a delineated area of a vehicular area on a display. The delineated area is specific for particular parking spots in a parking lot. Use of the parking lot is restricted to autonomous self-driving vehicles (SDVs). The processor(s) retrieve a calendar entry from an electronic calendar describing a quantity of persons who require SDVs to transport them during a particular time period to a specific destination. The processor(s) determine a quantity of SDVs required to transport the persons. The processor(s) transmit instructions to SDV controllers on-board the SDVs to autonomously drive from the particular parking spots to an intermediate staging area and then to a pick-up location to pick up the persons for delivery to the specific destination during the particular time period.

Abstract: A method and apparatus for providing workout guide information are provided. The apparatus includes a display, a memory configured to store workout route data including location data and elevation data, and a user profile, and a processor configured to determine at least one slope section through an analysis of the workout route data based on the user profile and output a map for displaying a workout route including the slope section to the display. The slope section in the workout route is configured to be displayed in a different form than a non-slope section. In addition, various embodiments identified throughout the specification are disclosed.

Abstract: Embodiments describing an approach to receiving visual feedback. Generating a recommended visual pattern based on the visual feedback. Tracking a driver's real-time visual pattern. Extracting the driver's real-time visual patterns from the eye-tracking data. Determining the differences between the recommended visual pattern and the driver's real-time visual pattern. Generating enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and adjusting the headlamp calibration controls based on the enhanced headlamp control configuration.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: A vehicle includes a communication unit for transmitting a Low Frequency (LF) signal including a test value to an external device, and for receiving a Radio Frequency (RF) signal including a verification value from the external device, a timer for determining a passage time from a point of time of transmission of the test value to a point of time of reception of the verification value, and a controller for authenticating the external device based on the passage time and whether the test value and the verification value correspond to each other.

Abstract: A method for adaptive mission execution by an unmanned aerial vehicle includes receiving a set of pre-calculated mission parameters corresponding to an initial UAV mission; collecting UAV operation data during flight of the unmanned aerial vehicle; calculating a set of modified mission parameters from the set of pre-calculated mission parameters and the UAV operation data, the set of modified mission parameters corresponding to a modified UAV mission; and executing the modified UAV mission on the unmanned aerial vehicle.

Abstract: Apparatus and methods are disclosed for mobile device tracking for control of vehicle subsystems. An example disclosed vehicle includes light panels embedded in the vehicle, wireless nodes, and an auxiliary body control module. The example auxiliary body control module, when a speed of the vehicle is less than a threshold speed, monitors a distance between a wireless device and the vehicle. In response to the distance satisfying a range threshold, the auxiliary body control module activates the light panels.

Abstract: A method and apparatus for maintaining a vehicle. Identification information for a part on the vehicle is read from an automated identification technology tag, wherein the automated identification technology tag is on the vehicle and associated with the part. Part information for the part is retrieved from an onboard data processing system on the vehicle using the identification information for the part. The part information retrieved from the onboard data processing system may be displayed to a user. The part information stored onboard the vehicle may be synchronized with an off-board system.

Abstract: A vehicle door system is disclosed. The system comprises an actuator, a power source, and a controller. The actuator is configured to adjust a position of a door. The controller is configured to control the actuator with energy provided by the power source. The controller is further configured to identify a charge level of the power source and compare the charge level to at least one threshold. In response the charge level being less than the at least one threshold, the controller is configured to output a warning signal.

Abstract: A method and system for managing settings on a single vehicle/implement system and across a fleet of vehicle/implement systems. Each vehicle/implement system includes a plurality of Embedded Systems having configurable settings, a Precision Agriculture Server having configurable settings, and a Telematics Server having configurable settings. All of the servers are connected by a plurality of vehicle data busses. The Telematics Server is connected to Cloud-Based Servers via the Internet. Vehicle/implement system settings are managed by the Precision Ag Server and shared with other vehicle/implement systems via the Cloud-based Server. Flexibility for different vehicle/implement models and options is provided by a distributed system using Client Software in the Precision Ag Server or Client Software in the Embedded Systems and by a settings identification and versioning schema.

Abstract: In a navigation method, coordinates and additional information concerning several places, so-called places of interest, are stored as data in a memory. Surrounding-area parameters are predefined by which, with respect to arbitrary places, one surrounding area respectively is defined which surrounds the place. During a traveling movement with a navigation device, one pertaining surrounding area respectively is acquired by use of the surrounding-area parameters and the respective current location of the navigation device. By way of the stored coordinates, at least one of the stored places of interest is determined which is situated in the acquired surrounding area. The additional information stored with respect to the determined place of interest is outputted by way of a user interface.

Abstract: A method for collecting machine operation data of a machine is disclosed. Initially, first and second sensor data is determined by a mobile sensor of a mobile device processor located on or within a machine. A first dynamic characteristic is determined based on at least one of the first and second sensor data. Next, the mobile device connects wirelessly to an external computing platform and the first dynamic characteristic is transmitted from the mobile device to the external computing platform. Third and fourth sensor data are determined by the mobile sensor. A second dynamic characteristic is determined based on at least one of the third and fourth sensor data. The second dynamic characteristic is transmitted to the external computing platform. A first dynamic change is determined based on the first and second dynamic characteristics. A first operation performed by the machine is determined based on the first dynamic change.

Abstract: A hybrid or electric vehicle includes a traction battery to store and provide energy for the vehicle. The traction battery includes a number of battery cells. For effective operation of the traction battery, operating parameters, such as state of charge and battery power limits, may need to be known. The operating parameters may be a function of battery cell voltage and impedance parameters. A parameter estimation scheme may use measured cell voltages and a measured traction battery current as inputs. A current measurement bias may be modeled that incorporates measurement bias caused by asynchronous current and voltage measurements. The current measurement bias may be estimated for each cell and the value may differ between cells.

Abstract: Various systems and methods for providing a vehicle control system are described herein. A system for managing a vehicle comprises: a vehicle control system of a vehicle having access to a network, including: a communication module to interface with at least one of: a mobile device, the vehicle, and environmental sensors coupled to the vehicle; and a configuration module to identify a mitigation operation to be taken when predetermined factors exist; wherein the vehicle control system is to identify a potential obstacle in a travel route of the vehicle and initiate a mitigation operation at the vehicle.