Abstract: A system and method for providing in-flight weather information to compute an optimized vertical flight profile are disclosed. In one embodiment, on-board weather information is obtained from one or more aircraft at regular intervals during flight. Further, weather information is identified for a predicted flight trajectory of an aircraft from the obtained on-board weather information. For example, the aircraft is preceding the at least one aircraft. Furthermore, a subset of the identified weather information is dynamically provided to a flight management system (FMS) in the aircraft, during flight, to compute the optimized vertical flight profile.

Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

Abstract: An integrated analysis system includes a data collector configured to acquire an image of an accelerator pedal and an image of a brake pedal for vehicle control and collect on-board diagnostic (OBD) data, distance measurement values obtained by measuring an extent to which the accelerator pedal and the brake pedal are applied, and a decibel value of an inside of a vehicle resulting from a sudden acceleration; a data integrator configured to perform an integration process by overlaying the measured data on the image collected by the data collector; a sudden acceleration determiner configured to determine the sudden acceleration of the vehicle by using image data integrated information integrated by the data integrator; and an image display configured to provide a driver with sudden acceleration determination information obtained from the sudden acceleration determiner, the image data integrated information, vehicle driving information using the OBD data, and emergency relief information.

Abstract: A wrong way vehicle countermeasure system may include at least one movement sensor positioned along a roadway and a wireless communications device. The system may further include a controller configured to cooperate with the at least one movement sensor to detect a wrong way vehicle on the roadway, and responsive to the detection of the wrong way vehicle on the roadway by the movement sensor, wirelessly send a countermeasure command to the wrong way vehicle via the wireless communications device to cause the wrong way vehicle to perform at least one wrong way driving countermeasure.

Abstract: A cleaning robot which performs a predetermined task while autonomously moving includes: a driver which makes the cleaning robot move; an image capturer which detects a movement state indicating whether a different cleaning robot existing in front of the cleaning robot is moving along an obstacle, a direction in which the different cleaning robot exists relative to the cleaning robot, and a distance between the cleaning robot and the different cleaning robot; and a following run controller which controls the driver in order for the cleaning robot to move following the different cleaning robot while keeping a position diagonally behind the different cleaning robot at an opposite side of the different cleaning robot from the obstacle, if the movement state indicates that the different cleaning robot is moving along the obstacle.

Abstract: Various methods for utilizing an unmanned aerial vehicle (UAV) to monitor hazards for a user may include maintaining the UAV at a monitoring position relative to the user, monitoring an area surrounding the user for approaching objects, detecting an approaching object, determining whether the approaching object poses a danger to the user, and performing one or more actions to mitigate the danger of the approaching object in response to determining that the approaching object poses a danger to the user.

Abstract: An equipment control system detects a physical position of a first vehicle, carrying a material to deliver, relative to a second vehicle. A physical position of a conveyor is controlled, relative to an outlet opening defined on the first vehicle and an inlet opening defined on the second vehicle. The material is then illustratively automatically conveyed from the first vehicle to the second vehicle.

Abstract: A system and method for providing location-based personalized information by using user location history information, whereby battery consumption of a computing device is reduced. The computing device includes: a location finder configured to obtain user location information of a user of the computing device; a display configured to display information indicating a route of the user of the computing device; and a controller configured to track a location of the user by controlling the location finder as the controller senses a change in the location of the user based on the obtained user location information, obtain information corresponding to an initial route of the user based on the tracked location of the user, detect a predicted route of the user from user location history information based on the information corresponding to the initial route of the user, and display on the display unit the predicted route.

Abstract: The present disclosure concerns a system and method with the steps: detecting of the signal strength of a mobile radio connection between the motor vehicle and a mobile radio network at detected positions of the motor vehicle after determining from the detected signal strength that the mobile radio connection has been interrupted and the motor vehicle has been parked as of this time within a predetermined duration: storing of the position of the motor vehicle in which the motor vehicle was situated at the time of the interruption as a dead spot; relaying of vehicle data to a vehicle-external server device as soon as it is determined, after the storing of the dead spot, that the motor vehicle has approached within a given distance of the stored dead spot; providing of the relayed vehicle data by the vehicle-external server device.

Abstract: A collision avoidance method and system for a trailer aircraft of an aircraft formation relative to an intruder aircraft. The collision avoidance system is embedded in a trailer aircraft of an aircraft formation and it is intended to avoid a collision relative to at least one aircraft external to the aircraft formation, called intruder aircraft, the aircraft formation including a lead aircraft and the at least one trailer aircraft, the collision avoidance system being configured to bring the trailer aircraft to a safety point dependent on a safety zone, prior to the implementation of an avoidance maneuver, the safety zone corresponding to a zone located to the rear of the lead aircraft and with no wake turbulence generated by the lead aircraft.

Abstract: A vehicle control system to operate a vehicle autonomously with improved energy efficiency and ride quality is provided. A controller is configured to set a limit value of an operating point of an engine to reduce noises and vibrations. The operating point of the engine is restricted by the limit value within an acceptable region where an engine speed is higher than the limit value but an engine torque is lower than the limit value. The limit value is set to a first limit value when the vehicle is operated autonomously while carrying the passenger, and to a second limit value to expand the acceptable region when the vehicle is operated autonomously without carrying the passenger.

Abstract: A BCU for determining a health status of a LRU having a coil includes a non-transitory memory configured to store instructions and a controller coupled to the non-transitory memory. The controller is designed to receive a temperature from a temperature sensor, to receive a direct current (DC) voltage that is applied to the coil of the LRU, and to receive a detected current corresponding to an amount of current flowing through the coil. The controller is further designed to determine a calculated resistance of the coil based on the detected current and the DC voltage and to determine a compensated resistance of the coil based on the temperature and the calculated resistance of the coil. The controller is further designed to determine the health status of the LRU by comparing the compensated resistance of the coil to a nominal resistance of the coil.

Abstract: A system and method for determining a path to a target destination are presented. A position sensor is mounted to a haul truck. The position sensor is configured to identify a position of the haul truck. A distributed objects database stores information describing target destinations within a mining environment and performance characteristics of the haul truck. A navigation aid is connected to the position sensor. The navigation aid is configured to identify a target destination for the haul truck, retrieve a performance characteristic of the haul truck from the distributed objects database, and calculate a first path to the target destination using the performance characteristic of the haul truck. A user interface is connected to the navigation aid. The user interface is configured to display the first path for an operator of the haul truck.

Abstract: Disclosed is a smartpack device detachably attached a bike. The smartpack device includes a housing, a locking unit, plurality of indication units, a battery unit, at least one camera, a tracking unit and a wireless communication unit, a computer and a battery unit to power peripheral electrical devices of the bike, and other components of the bike. The tracking unit monitor the movement of the bike and the wireless communication unit communicates the tracked data, processed digital content and sensed data over the communication network. The computer attached to the bike includes a memory unit to store plurality of modules, a touch display unit, and the processing unit. The plurality of modules includes a navigation module, a control module, and a monitoring module.

Abstract: A vehicle system to reduce parking tickets is described. The vehicle system includes a communication interface that receives vehicle operator preferences regarding ticketing risk and parking preferences. A processing device calculates an instruction signal which is sent to an autonomous mode controller. The autonomous mode controller moves the vehicle to a pick up location or a new parking spot as a function of the instruction signal.

Abstract: A vehicle control system includes: an automated driving controller configured to execute one driving mode from out of a plurality of driving modes including an automated driving mode and a manual driving mode; a vehicle information collection section configured to collect information related to control history of one or both out of speed control and steering control performed based on operation by the occupant of the vehicle while the manual driving mode is being executed; and a driving characteristics derivation section configured to derive driving characteristics for each occupant of the vehicle based on information collected by the vehicle information collection section. The automated driving controller executes the automated driving mode by reflecting the driving characteristics for each occupant of the vehicle to the automated driving.

Abstract: Technical solutions are described for facilitating a steering system to determine a motor velocity estimate for a motor of the steering system. For example, the steering system may include a state observer module that computes a base motor velocity estimate of the motor based on a plant model of the steering system. The steering system may further include a delay compensation module that computes a delay compensated velocity estimate based on the base motor velocity estimate and an acceleration of the motor. The steering system may further include a standstill detection module that modifies the delay compensated velocity estimate in response to a handwheel of the steering system being in standstill mode.

Abstract: Apparatus and methods are disclosed for speed-based window control. An example disclosed vehicle includes a speed sensor and a body control module. When a side window is open, the body control module monitors, via the speed sensor, a speed of the vehicle. In response to the speed of the vehicle satisfying a first speed threshold, the body control module closes the side window and then, after the side window is closed, activates an air conditioner.

Abstract: Disclosed are self-calibrating load sensor systems for active aerodynamics devices, methods for making or using such load sensor systems, and motor vehicles equipped with a self-calibrating load sensor system to govern operation of the vehicle's active aero device(s). An active aero sensing system includes a load sensor that mounts to the vehicle body, and detects downforces on the vehicle. A memory device stores mapped vehicle downforce data calibrated to the motor vehicle. A vehicle controller receives downforce signals generated by the load sensor, and calculates an average downforce value from these signals. The controller determines if the average downforce differs from a calibrated downforce value retrieved from the memory device. If so, the controller responsively applies an offset value to subsequent downforce signals received from the load sensor, and dynamically controls operation of the active aero device based, at least in part, on these signals modified by the offset value.

Abstract: A method for determining a yaw angle estimate or vehicle heading direction is presented. A potential range of yaw angles is generated based on a plurality of primary telematics data. One or more yaw angle estimates are generated from the potential range of yaw angles. A driving pattern is determined based on at least one of the yaw angle estimates. The primary telematics data is a plurality of telematics data originated from a client computing device. The effects of gravity have been removed from the plurality of telematics data in a first primary movement window.