Abstract: A method for detecting drowsiness of a driver for a driver assistance system of a vehicle includes reading in at least a first indicator signal that represents a first drowsiness parameter of the driver determined by a first drowsiness-detection device of the vehicle, and a second indicator signal that represents a second drowsiness parameter of the driver determined by a second drowsiness-detection device of the vehicle, and optionally a third indicator signal that represents a third drowsiness parameter of the driver determined by a third drowsiness-detection device of the vehicle; ascertaining validities of the indicator signals; and determining a drowsiness signal that represents the detected drowsiness of the driver utilizing the indicator signals and the validities.

Abstract: The present embodiments relate to a smart parking assist system and a control method thereof, and display the ratios of the progress distance and the remaining distance of the vehicle based on the distance by which the vehicle must move in the path set for each period in which automatic parking control is performed by a smart parking assist system, thereby allowing the driver to easily recognize the automatic parking control state of the vehicle and the distance by which the vehicle must move. Accordingly, the present embodiments may provide the driver with information on the automatic parking control state for each period of the automatic parking control, and may enable the driver to drive the vehicle to an accurate control position without exceeding the same in the period in which the vehicle is moved straight by the manual operation of the driver during the automatic parking control period.

Abstract: Disclosed in the present invention is an autonomous vehicle (1), which comprises an housing (21), an driving module mounted on the housing (21), an borderline detecting module mounted on the housing for detecting the distance between the autonomous vehicle (1) and the borderline (3), an energy module mounted on the housing for providing energy for the autonomous vehicle, and an control module electrically connected with the driving module and the borderline detecting module.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to identify a wireless network problem and initiate performance of one or more operations or actions that address the wireless network problem, the drone comprising a processor and a storage device, the storage device storing instructions that, when executed by the processor, cause the processor to perform operations comprising receiving, by the drone, an instruction to analyze a wireless network of a property, responsive to the instruction to analyze the wireless network, traveling, by the drone, to one or more zones of the property, determining, by the drone and based on an analysis of one or more characteristics of the wireless network, that a wireless network problem exists, and based on the determination that the wireless network problem exists, performing, by the drone, one or more operations directed to addressing the wireless network problem.

Abstract: A method and a device are disclosed for determining data representative of the layout of a road in a two-dimensional Cartesian coordinate system, the coordinate system being associated with a vehicle travelling along the road. To this end, a first set of first points in the Cartesian coordinate system is determined on the basis of data representative of at least one image of the road environment in front of the vehicle. A second set of second points is determined in the Cartesian coordinate system on the basis of mapping data of the road environment of the vehicle. The data representative of the road layout are obtained on the basis of a part of the first points and a part of the second points.

Abstract: An autonomous vehicle brake failure handling method is provided. The method includes detecting a brake system failure of the autonomous vehicle and transmitting a rescue request signal to a control server when the failure is detected. A bumper of the autonomous vehicle is moved into contact with a preceding autonomous vehicle bumper or the autonomous vehicle is docked with the preceding autonomous vehicle through speed control and steering control. The autonomous vehicle having the failure-detected brake system is completely braked under deceleration control of the preceding autonomous vehicle when the autonomous vehicle bumper and the preceding autonomous vehicle bumper are in contact with each other or when the docking of the autonomous vehicle and the preceding autonomous vehicle has been completed.

Abstract: An automatic takeoff flight control system controls an aircraft to automatically follow a predetermined set of control parameters upon taking off from the ground using both longitudinal and lateral control laws. The control system provides takeoff speed reduction to thereby reduce the takeoff distance (TOD) and, as a consequence, increase the takeoff weight (TOW). The control system sets the horizontal stabilizer (HSTAB) in a non-trimmed condition—named “mistrim”; and provides beta for optimum climb at takeoff, through lateral-directional surfaces commands.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include gps data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: A computer system including one or more processors programmed or configured to receive image data associated with an image of one or more roads, where the one or more roads comprise one or more lanes, determine a lane classification of the one or more lanes based on the image data associated with the image of the one or more roads, and provide lane classification data associated with the lane classification of the one or more lanes.

Abstract: The present invention relates to a method of determining a route (ITI) minimizing the energy consumption of a vehicle, based on the use of a dynamic model (MOD) of the vehicle depending on the vehicle speed and acceleration, the construction of a line graph (GA) and a shortest path algorithm (ALG) suited for negative energies.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Systems and methods for driving trajectory planning of an automated vehicle. The system includes an electronic processor configured to determine a lane segment graph indicating allowable transitions between a plurality of lane segments. The electronic processor is also configured to determine a current type of traffic flow situation. The electronic processor is further configured to determine weighting factors for each of the allowable transitions based on aggregate observations of previous real-world traffic flow transitions for the current type of traffic flow situation. Each of the weighting factors indicate a likelihood of transition for a respective one of the allowable transitions. The electronic processor is also configured to determine a weighted lane segment graph based at least in part on the weighting factors. The electronic processor is further configured to determine a driving trajectory of the automated vehicle based at least in part on the weighted lane segment graph.

Abstract: Aspects of the disclosure relate to determining a next vehicle task for a vehicle of a fleet. Vehicle data from the vehicle, charger data about at least one charger, and demand data may be received and used to determine the next vehicle task. The vehicle may be directed to the next vehicle task. Determining a next vehicle task may further be based on predictions made using the vehicle data, the charger data, and the demand data. Heuristics may also be used in determining a next vehicle task.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the real time generation and transformation of raw telematics big data into analytical telematics big data that includes raw telematics big data and supplemental data.

Abstract: Devices, systems, and methods for determining aircraft orientation are described herein. One device includes instructions executable to determine a subsection of a rendering of a portion of an airport, wherein the subsection is associated with a particular stand of the airport, and wherein the subsection includes a plurality of ground travel pathways, determine a first subset of the plurality of pathways, a second subset of the plurality of pathways, and a third subset of the plurality of pathways, track a location of an outbound aircraft within the subsection of the rendering, determine an orientation of the aircraft according to a first set of rules responsive to a determination that the location of the aircraft is within the first or second subset of the plurality of pathways, and determine the orientation of the aircraft according to a second set of rules responsive to a determination that the location of the aircraft is within the third subset of the plurality of pathways.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: A machine is disclosed including a sensor on a limb, an implement, an architecture, and a linkage assembly (LA) including a boom and a stick. The architecture comprises one or more LA actuators and a controller that generates a sensor location and offset angle ? and is programmed to: pivot the limb (either the boom or stick) about a pivot point and generate a set of sensor signals. The controller is programmed to repeatedly execute an iterative process n times until exceeding a threshold, which process comprises determining a sensor location estimate n (a distance between the sensor and the pivot point) and an offset angle estimate ?n defined relative to a limb axis. A utilized optimization model includes the set of sensor signals and error terms.

Abstract: Representative embodiments disclose mechanisms to utilize navigation routes in order to avoid or minimize sun glare along the navigation route. Some embodiments first estimate whether it is likely that sun glare will be perceived while navigating between a starting location and an ending location. If sun glare is likely, the navigation route is calculated using sun glare as part of a cost function. If sun glare is not likely, the navigation route is calculated without regard to sun glare. Real-time sun glare feedback can be received from one user device and used in sun glare calculations for another user device. In some embodiments a trained machine learning model can be utilized as part of the sun glare calculation. Other embodiments include digital assistants that use sun glare information to recommend actions and/or take actions on behalf of a user.

Abstract: An electric machine and internal combustion engine are coordinated to provide traction control for an automotive vehicle. A propulsive torque limit is set by a controller during a loss of traction. When the machine torque limit is greater than the propulsive torque limit, the engine is pulled down. When the machine torque is less than the propulsive torque limit, the engine is pulled up. The controller coordinates the pulled up engine with the machine such that the engine is subordinated to the machine.