Abstract: The disclosure includes embodiments for improving a performance of a set of Advanced Driver Assistance Systems (“ADAS systems”) included in a vehicle by decreasing a latency for processing a set of input/output (“I/O”) requests generated by one or more active ADAS systems from the set of ADAS systems. A method includes determining situation data describing a driving situation for the vehicle. The method includes identifying the one or more active ADAS systems from the set of ADAS systems for the driving situation. The method includes determining whether an input/output (“I/O”) communication conflict exists for the one or more active ADAS systems. The method includes applying at least one of a direct I/O strategy and a virtual I/O strategy to the set of I/O requests based on whether the I/O communication conflict exists.

Abstract: Systems and methods are provided for increasing the geospatial resolution of traffic information by dividing known location intervals into a fixed number of sub-segments not tied to any one map providers format, efficient coding of the traffic information, and distribution of the traffic information to end-user consuming devices over one or more of a satellite based broadcast transport medium and a data communications network. Exemplary embodiments of the present invention detail a nationwide traffic service which can be encoded and distributed through a single broadcast service, such as, for example, an SDARS service, or a broadcast over a data network. Exemplary embodiments include aggregating the traffic data from segments of multiple location intervals, into predefined and predetermined flow vectors, and sending the flow vectors within a data stream to users.

Abstract: A method for detecting parasitic power circulation within a work vehicle may include controlling an operation of the work vehicle such that a transmission of the work vehicle has a first output speed and determining a first power value associated with power transmitted through a drive shaft of the work vehicle at the first output speed. The method may also include adjusting the operation of the work vehicle such that the transmission has a second output speed that differs from the first output speed and determining a second power value associated with power transmitted through the drive shaft at the second output speed. In addition, the method may include comparing the first and second power values to a predetermined relationship to determine whether the work vehicle is currently experiencing parasitic power circulation, wherein the predetermined relationship is associated with operation of the work vehicle without parasitic power circulation.

Abstract: An approach is provided for detecting venue trips and related road traffic. The approach involves, for example, processing probe data to identify a trip related to the venue. The trip is traveled by a probe vehicle generating the probe data within a timeframe associated with an event occurring at the venue. The approach also involves generating an influence graph comprising one or more roads used by the probe vehicle during the trip. The approach further involves determining a traffic parameter for the one or more roads of the influence graph. The approach further involves computing a traffic impact score for the venue, the event, or a combination thereof based on the traffic parameter.

Abstract: An image generation apparatus that generates an image notifying an occupant of a vehicle about a notification target located in a traveling direction of the vehicle, and outputs a virtual image of the image to a head-up display device that displays the virtual image while superimposing the virtual image on a foreground of the vehicle. The image generation apparatus includes: a target information acquisition part that obtains positional information and a moving direction of the notification target; an image generation part that generates a ripple image displayed by the head-up display device while superimposed on a road surface where the notification target is located when the target information acquisition part obtains at least one positional information; and a subject vehicle information acquisition part that obtains a traveling speed. The image generation part stops generation of the ripple image when the traveling speed exceeds a threshold speed specified beforehand.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: The autonomous LC control is started in response to receiving a start instruction of autonomous lane change. When the driver performs a steering intervention in a same direction as a direction of steering requested by the autonomous LC control, and establishment of a stop condition of lane change is not recognized, during execution of the autonomous LC control, the autonomous driving control is continued. When the steering intervention in the same direction is performed, and establishment of the stop condition is recognized, during execution of the autonomous LC control, termination of the autonomous driving control is announced.

Abstract: A method for a high-voltage energy system of a vehicle wherein a pre-accident error state is determined which shows the current existing error of the high-voltage energy system prior to the time of an accident. Then an accident event is determined. A post-accident error state is determined which shows the current existing error of the high-voltage energy system according to the time of the accident. The high-voltage energy system is deactivated in accordance with the accident, the pre-accident error state, and the post-accident error state.

Abstract: A position calculating apparatus is provided with: an acquirer configured to obtain a position of a host vehicle; a detector configured to detect surrounding environment including structures around the host vehicle; a calculator configured to extract a map of surroundings of the host vehicle on the basis of the obtained position, configured to compare the extracted map with a surrounding image based on the detected surrounding environment, and configured to calculate a position and a direction of the host vehicle on the extracted map; a display device configured to superimpose and display the extracted map on the surrounding image on the basis of the calculated position and the calculated direction; and a corrector configured to correct the calculated position and the calculated direction with reference to a inputted correction instruction if the correction instruction is inputted through an input device.

Abstract: An aircraft-based stall prediction and recovery system may be embodied in a flight control system connected to aural/visual annunciators and flight controls (e.g., throttles and control surfaces). Based on received environmental data, the stall prediction and recovery system may detect imminent upset conditions (e.g., underspeed or overspeed) based on minimum and maximum operating speeds for the current airframe, altitude, and atmospheric conditions. The stall prediction and recovery system may notify the crew of the imminent upset and advise corrective measures. If a stall warning is received, the stall prediction and recovery system may engage an auto-recovery mode, notifying the crew of the engagement and restoring the aircraft to a safe target airspeed via automated recovery procedures, e.g., correcting the aircraft angle of attack and/or attitude. Upon resolution of the stall, the stall prediction and recovery system may disengage the auto-recovery mode, notifying the crew via the annunciators.

Abstract: Provided is a system for protecting submerged components of a watercraft from collision with a submerged object or a floor of a body of water. The system includes a depth sensor configured to measure a water depth beneath the watercraft, an actuated mechanism configured to adjust a depth of at least one of the submerged components, and a controller in communication with the depth sensor and the actuated mechanism. The controller is operable to receive the measured water depth and control the actuated mechanism to adjust the depth of the at least one submerged component as a function of the measured water depth to prevent the at least one submerged component from colliding with the submerged object or floor of the body of water.

Abstract: A seat assembly for a vehicle includes a seat, and a first seatbelt having a first end and a second end. The first end of the first seatbelt is coupled to the seat. The seat assembly includes a latch plate and a second seatbelt. The latch plate is fixed to the second end of the first seatbelt, and the second seatbelt is slideably coupled to the latch plate. The first seatbelt and the second seatbelt increase lateral support of the occupant during, e.g., a rollover event, oblique or side impacts.

Abstract: To estimate the condition of an object precisely, even while the object performs a turning motion, an estimation device for calculating a predicted position of an object existing on the periphery of a host vehicle includes: position calculating circuit for detecting a position of the object; Doppler velocity calculating circuit for calculating a Doppler velocity of the object; host vehicle velocity obtaining circuit for obtaining a host vehicle velocity; host vehicle turning radius obtaining circuit for obtaining a turning radius of the host vehicle; and predicted position calculating circuit for calculating the predicted position of the object on the basis of the position of the object, the Doppler velocity, the host vehicle velocity, and the turning radius of the host vehicle.

Abstract: A hybrid-electric propulsion system includes a propulsor, a turbomachine, and an electrical system, the electrical system including an electric machine coupled to the turbomachine. A method for operating the propulsion system includes operating, by one or more computing devices, the turbomachine such that the turbomachine rotates the propulsor; receiving, by the one or more computing devices, a command to accelerate the turbomachine while operating the turbomachine; and providing, by the one or more computing devices, electrical power to the electric machine to add power to the turbomachine, the propulsor, or both in response to the received command to accelerate the turbomachine.

Abstract: Provided are an unmanned aerial vehicle executing medical support work and assisting in the work supposed to be performed by a health care worker or replacing the health care worker and a medical support method for performing medical support work by using an unmanned aerial vehicle. An unmanned aerial vehicle capable of performing autonomous flight includes a receiving unit receiving an input of medical support work from a health care worker and a control unit controlling the execution of the medical support work based on content of the input received by the receiving unit.

Abstract: An example method includes receiving a plurality of data streams acquired for a respective parameter of a plurality of parameters indicating an operating condition of the aircraft, selecting at least one data stream corresponding to at least one parameter of the respective plurality of parameters, selecting a portion of data from the at least one data stream, comparing the portion of data to a model determined for the at least one parameter based on historical data, determining that a failure has occurred or is likely to occur during operation of the aircraft based on the comparing, and transmitting aircraft health monitoring information indicative of occurrence or likelihood of occurrence of the failure.

Abstract: A system includes an input device that receives desirable performance characteristics of a vehicle a diagnostic processor that receives vehicle test data, and determines undesirable vehicle performance data points by comparing the desirable vehicle performance characteristics to the test data. The diagnostic processor also determines undesirable system data points that correspond to likely causes of the undesirable vehicle performance data points by comparing the desirable system performance characteristics to the test data, and determines undesirable component data points that correspond to likely causes of the undesirable system data points by comparing the desirable component performance characteristics to the test data.

Abstract: A parallel running vehicle detecting apparatus is provided, which includes a first distance sensor for detecting distance of an object in a first detection area on a rear lateral side of a vehicle, a second distance sensor for detecting distance of an object in a second detection area, a parallel running vehicle detector for detecting a parallel running vehicle based on detections of the first and second distance sensors, and a storage for storing a detection distance history of the second distance sensor. The parallel running vehicle detector is provided with multiple determination conditions for determining whether the object detected by the first distance sensor is the parallel running vehicle, and changes the parallel running vehicle determination condition based on the detection distance history stored in the storage.

Abstract: Systems of an autonomous vehicle and the operations thereof are provided. Autonomous vehicles may rely on data inputs, processes, and output commands. Errors due to translation errors, failed or faulty equipment, connections, and other components may cause a dynamic vehicle path to approach a dynamic safe zone. If so, a warning message may be sent and processed by the motion control system, when the vehicle is responding to commands correctly, or actuator control, when the vehicle is not responding to commands correctly. Should the vehicle's path approach the safe zone, a failure message is sent to the appropriate system for mitigation.

Abstract: A computer is programmed to identify a vehicle in an infrared image, determine a body type of the vehicle based on the infrared image, and predict coordinates of one or more vehicle elements based at least on the determined body type. The computer is further programmed to then perform a plurality of LIDAR sensor sweeps and, based on the LIDAR sensor sweeps, determine whether the vehicle elements are at the predicted coordinates.