Abstract: A rearwardly directed movement of a first vehicle that has a driving assistance system that can be controlled, the driving assistance system having at least one sensor and a control device, in which threshold values for triggering a warning intervention and/or braking intervention in respect of the interval in relation to at least one further road user are set, and additionally being connected to or having a camera, by which activated travel-direction indicators of a further road user are recognized, which travel-direction indicators are included in the calculation of a probable trajectory of the further road user, and a probability of a collision is calculated, according to which the threshold values are lowered or raised.

Abstract: A control system for a vehicle includes a control that determines a planned path of travel for the vehicle along a road being traveled by the vehicle and along a traffic lane in which the vehicle is traveling on the road. The control determines a speed profile for the vehicle along the planned path responsive at least in part to (i) detection of an object along the determined planned path of travel and (ii) determination of a speed limit change along the determined planned path of travel. The control controls the vehicle to maneuver the vehicle along the determined planned path of travel in accordance with the determined speed profile.

Abstract: A system is provided for performing an automated range estimation process for an electric vehicle using a processor. Included in the system is a range estimator configured to estimate an initial value of an energy required to travel a unit distance for the electric vehicle. The range estimator generates a first estimation model based on a correlation between a maximum all-electric-range and the energy required to travel a unit distance. Then, the first estimation model is adjusted based on one or more predetermined driving conditions. The maximum all-electric-range of the electric vehicle is updated based on the adjusted first estimation model. An estimated range of the electric vehicle is calculated based on the updated maximum all-electric-range of the electric vehicle and a fraction of total energy capability remaining in the electric vehicle. The estimated range of the electric vehicle is outputted and is used to control the electric vehicle.

Abstract: A method for assisting in the driving of a vehicle on a fast road with carriageways separated by a safety rail in which the presence of the safety rail is detected is disclosed. The safety rail is modelled from measurements performed continuously by at least one laser scanner sensor mounted on the motor vehicle, with the determination of a confidence index associated with the detection by the laser scanner sensor, an automatic driving mode is activated when the confidence index ICONF is above a confidence threshold. This mode is maintained as long as a current confidence index associated with the detection is above the confidence threshold, and this mode is deactivated when the current confidence index passes below said confidence threshold. The density of traffic in front of the motor vehicle is estimated from images captured by an embedded camera.

Abstract: The present disclosure relates to a device and method for dividing a field boundary of a CAN trace. The method for dividing a field boundary of a CAN trace according to an embodiment of the present disclosure includes: collecting a CAN trace of a CAN bus; dividing the CAN trace into multiple blocks including multiple frames of the CAN trace; performing first static field division to each of the multiple blocks; and performing second static field division based on the result of the first static field division to divide a final field boundary of the CAN trace.

Abstract: A surrounding situation display method of detecting a surrounding situation around a host vehicle with an autonomous driving function and displaying the detected surrounding situation, includes displaying, in a varying display bar that has a prescribed display frame and displays an indication position within the display frame in synchronization with movement of an attention target, the indication position having moved to one endpoint of the varying display bar as a timing when an action of the host vehicle is changed by the autonomous driving function.

Abstract: Hybrid electric propulsion systems and methods therefore are provided. More particularly, the present disclosure is directed to control systems for hybrid electric propulsion systems for aerial vehicles that are configured for rapidly and automatically taking action in response to rapid electrical load changes on a torque source, such as an engine. Methods for operating hybrid electric propulsion systems for aerial vehicles are also provided.

Abstract: An automated driving apparatus acquires a position relation between a vehicle in front and a host vehicle based on peripheral state data D_info. When an intervehicular distance D1 between the host vehicle and the vehicle in front in a front-and-back direction has a value smaller than a first predetermined value D1ref, it is estimated that a risk of appearance Risk_ap is low compared with a case in which the distance in the front-and-back direction has a value equal to or larger than the first predetermined value D1ref.

Abstract: The vehicle driving system capable of performing control of switching between automatic driving by a vehicle and manual driving by a driver, includes: a temperature monitoring section configured to monitor a temperature of an automatic driving ECU which controls the automatic driving; and a control section configured to control, on the basis of the temperature of the automatic driving ECU, an operation for prompting the driver to perform the switching to the manual driving during the automatic driving.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to input second vehicle sensor data received via one or more of vehicle-to-vehicle (V-to-V) and vehicle-to-infrastructure (V-to-I) networking into a generative query neural network (GQN) trained to generate second vehicle viewpoint data and predict a path for a second vehicle based on the second vehicle viewpoint data with a reinforcement learning deep neural network (RLDNN). The computer can be further programmed to obtain a confidence for the predicted second vehicle path from a Bayesian framework applied to the RLDNN and determine a first vehicle path based on the predicted second vehicle path and the confidence.

Abstract: Disclosed is a method, system, and non-transitory computer-readable storage medium for providing a pickup location. The pickup service method executable on a computer system, including displaying, by the at least one processor, one or more pickup candidate locations corresponding to a location associated with a user of an electronic device, on a map screen including the location, providing, by the at least one processor, guidance information on a pickup candidate location, which is selected by the user from among the one or more pickup candidate locations, on the map screen, and transmitting, by the at least one processor to a server, a pickup request including a final pickup candidate location that is selected by the user from among the one or more pickup candidate locations displayed on the map screen as a pickup location may be provided.

Abstract: Aspects of the disclosure provide for generation of trajectories for a vehicle driving in an autonomous driving mode. In one instance, a default number of trajectories to be generated may be identified. A set of maneuvering options may be selected from a set of predetermined maneuvering options based on the number of trajectories. The set of maneuvering options may be filtered based on the default number of trajectories. A set of trajectories may be generated based on the filtered set of maneuvering option such that each trajectory of the set corresponds to a different maneuvering behavior. A cost for each trajectory of the set of trajectories may be determined, and one of the trajectories of the set of trajectories may be selected based on the determined costs. The vehicle may be maneuvered in the autonomous driving mode according to the selected one of the trajectories.

Abstract: Methods and apparatus to present anticipated vehicle maneuvers to a passenger are disclosed. An example method includes determining an anticipated autonomous maneuver of a vehicle based on collected information corresponding to autonomous operation of the vehicle, determining a notification type to present to a passenger device based on a device type, and presenting the anticipated autonomous maneuver to a user via the passenger device based on the notification type.

Abstract: An autonomous vehicle mode regulator system and method comprise transmitting authorization signals from autonomous driving infrastructure on a roadway to a controller module to authorize or inhibit operation of a vehicle in different levels of automation. The controller module controls the level of automation under which the autonomous driving system of the vehicle operates based on the signals received from the autonomous driving infrastructure. In this regard, the controller module can prevent the autonomous driving system of the vehicle from operating in certain levels of automation unless appropriate authorizations signals are received. Similarly, the controller module can permit or even require operation of the vehicle in certain levels of automation upon receipt of certain authorization signals.

Abstract: Inverter circuits are provided for motor winding sets, respectively. Control units are provided for the motor winding sets to generate control signals related to driving of the inverter circuits and control currents flowing through the motor winding sets, respectively, thereby controlling driving of a motor. The control mode includes a manual steering mode for controlling the motor according to a steering operation on a steering wheel by a driver and an automatic steering mode for controlling the motor independently of the steering operation on the steering wheel by the driver. The control units are capable of switching the control modes and differentiate the current control according to the control mode. By making the current control different according to the control mode, it is possible to attain optimal characteristics which correspond to each control mode.

Abstract: Apparatuses and methods for automated parking of autonomous vehicles are provided herein. An example method includes receiving, by an automated driving system of an autonomous vehicle, a pull over request during a trip to a destination; initiating, by the automated driving system, a pull over sequence, the pull over sequence including determining if the autonomous vehicle is within a pre-determined distance from the destination; stopping the autonomous vehicle when the autonomous vehicle is within the pre-determined distance; and when the autonomous vehicle is not within the pre-determined distance, initiating a parking sequence to park the autonomous vehicle at a nearest available parking location.

Abstract: Dynamic online and real-time virtual humans exhibit behaviors associated with inputs and outputs of an autonomous control system. To foster the awareness and trust, the virtual humans exhibit situational awareness via apparent (e.g., rendered) behaviors based on inputs such as direct system measures, functions of the measures, estimates of state based on measures, and estimates of state based on a priori constraints. The virtual humans also exhibit situational control via apparent behaviors associated with outputs such as direct control of devices, functions of control, actions based on high-level goals, and the optional use of virtual versions of conventional physical controls. A dynamic virtual human who continually exhibits awareness of the system state and relevant contextual circumstances, along with the ability to directly control the system, is used to reduce negative feelings associated with the system such as uncertainty, concern, stress, or anxiety on the part of real humans.

Abstract: Disclosed is a system and method for determining the runway configuration of an airport. The method may include retrieving recorded surveillance data including instances of aircraft positions at an airport; determining a plurality of three-dimensional surveillance cells at each end of one or more runways of the airport; computing a count of the number of aircraft positions within each surveillance cell; and determining a current configuration for each runway based on the count computed for the surveillance cells of the runway. The predicted runway configuration of the airport can be used for updating the flight plan of an aircraft to reduce the total flight duration and minimize fuel consumption.

Abstract: The present disclosure generally relates to methods and systems for determining usage of a vehicle. A vehicle monitoring system may include, a memory, at least one processor coupled to the memory, and a sensory system that generates vehicle trip data during a monitoring window. The vehicle monitoring system may partition the trip data into a base group and a contrast group. The vehicle monitoring system may calculate a similarity score between the contrast group and the base group. The vehicle monitoring system may determine that the vehicle has been used for commercial purposes in response to the similarity score satisfying a threshold.

Abstract: A steering wheel unit is equipped with an electrode which is provided on a steering wheel and constitutes an electrostatic capacitance sensor, a sensor circuit that passes an alternating current to the electrode, a comprehensive control unit adapted to energize the sensor circuit at a time of failure diagnosis, and a failure diagnosis unit that performs a short circuit failure diagnosis continuously or periodically when a power source of a vehicle is on, and performs an open circuit failure diagnosis when the power source of the vehicle is switched from off to on.