Abstract: A vehicle traveling assistance method in which a braking timing of a vehicle in manual driving is learned and traveling in automatic driving is assisted based on the learned braking timing, includes activating a brake in the automatic driving such that a timing at which a driver senses a braking operation is earlier than the learned braking timing.

Abstract: A vehicular vision system includes a camera disposed at the vehicle and a video display device disposed in the vehicle. Image data captured by the camera is provided to an ECU of the vehicle. A first portion of a scene that is within the field of view of the camera is not viewable by a driver of the vehicle and a second portion of the scene exterior of the vehicle that is within the field of view of the camera is viewable by the driver. Responsive at least in part to processing at the ECU of image data captured by the camera, the vehicular vision system determines an augmented reality overlay. Responsive to processing at the ECU of image data captured by the camera, the video display screen displays video images of the exterior scene. The video display device displays the augmented reality overlay at the displayed video images.

Abstract: A method for wrong-way driver detection, which includes a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of determining a plurality of particles using the position data, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of ascertaining an instantaneous position of the vehicle on a road network negotiable by the vehicle based on the plurality of particles, using a particle filter.

Abstract: A position in a left-right direction of a display position of a facility figure representing a facility is set to a position overlapping with a virtual line parallel to a traveling lane as viewed from a driver (c). A position in an up-down direction of the display position is determined to be a position overlapping with a road surface on the front side, the position separated upward by H1 from a lower end of a display area of a heads-up display when a distance L from a current position CP to a position TP of a facility is a distance ThL (b1), to be a position separated by H4 (H4<h1) when the distance L is zero, and such that distances H2 and H3 separated upward from the lower end of the display area gradually change from the distance H1 to the distance H4 as the distance L decreases from the distance ThL to zero (b2 and b3). The distance H1 is set such that the facility figure is displayed below a point facing the facility on the road surface on the front side when the distance L is the distance ThL.

Abstract: An autonomous system for loading or unloading an autonomous vehicle, in accordance with aspects of the present disclosure, includes one or more module(s) that include at least one of a compartment or a sub-compartment where the module(s) are located in an autonomous vehicle, a robotic movement apparatus configured to autonomously move items to or from the module(s), one or more processors, and at least one memory storing instructions which, when executed by the processor(s), cause the autonomous system to autonomously move an item, using the robotic movement apparatus, to or from the at least one module of the autonomous vehicle.

Abstract: Systems and methods are provided autonomous driving policy generation. The system can include a set of autonomous driver agents, and a driving policy generation module that includes a set of driving policy learner modules for generating and improving policies based on the collective experiences collected by the driver agents. The driver agents can collect driving experiences to create a knowledge base. The driving policy learner modules can process the collective driving experiences to extract driving policies. The driver agents can be trained via the driving policy learner modules in a parallel and distributed manner to find novel and efficient driving policies and behaviors faster and more efficiently. Parallel and distributed learning can enable accelerated training of multiple autonomous intelligent driver agents.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.

Abstract: The remote vehicle control system and method are provided. The remote vehicle control system includes: a mobile terminal, an ECU, and a server, the server includes an control module; the mobile terminal, is connected to the server via a wireless network, and is adapted to send control instructions to the ECU via the server; the control module of the ECU, is adapted to receive control instructions sent by the mobile terminal via the server, start vehicle engine, turn on corresponding electronic device of the vehicle, and adjust to a set value a period of time before next travel.

Abstract: A prediction unit predicts a limit time at which a limit request value corresponding to a minimum acceleration or torque is reached when a vehicle is decelerated with only a first deceleration control by a drive device based on change over time of a request value indicating a degree of longitudinal direction vehicle acceleration. A mode determination unit selects one of: a first mode in which only the first control is executed, and before the limit time is reached, in addition to the first control, a second deceleration control is started by a braking device; or a second mode in which only the first control is executed, and before the limit time is reached, in addition to the first control, a braking preparation control is started. A calculation unit calculates an operation amount of the drive and braking devices based on the request value in accordance with the determined mode.

Abstract: The systems and methods provided herein are directed to an automated driver assistance system that monitors the area around the pedals of a vehicle and modifies the automated operation of the vehicle based on detected motion of the driver near the pedals.

Abstract: Methods and systems are provided for operating a high voltage generator coupled to a plug-in hybrid vehicle driven by a reciprocating piston engine. In one example, a method may include, predicting variations in output torque from the reciprocating piston engine and adjusting the driving torque required for the high voltage electric generator based upon the predicted torque variations.

Abstract: Embodiments of the present disclosure are directed to providing, via a client instance hosted by an enterprise management data-center, an optimized travel route, including task assignment and scheduling, based at least on user configured criteria. Particularly, the client instance may execute an algorithm, trained via machine learning, to determine the optimized travel route in view of the user configured criteria.

Abstract: Embodiments of the present application disclose an electronic map display method, device, and system. The method includes obtaining, by one or more processors, current driving information, historical driving information, or both, wherein the current driving information, historical driving information, or both are obtained from one or more of a network-side server and a control system of a vehicle, determining, by the one or more processors, display information based at least in part on the current driving information, the historical driving information, or both, and providing, by the one or more processors, an electronic map based at least in part on the display information.

Abstract: A method in a wireless communications device for transmitting current location information representing a current location of the wireless communications device. The method entails, from within a communication application executing on a processor of the wireless communications device, causing the wireless communications device to obtain the current location information representing the current location of the wireless communications device, including the current location information in a communication generated from within the communication application, and transmitting the communication that includes the current location information. The method optionally entails a further step of performing a reverse look-up of GPS coordinates representing the current location to determine address information for including in the communication. Location information, such as maps or URLs to maps can be sent directly from an e-mail application or instant messenger without having to separately launch a mapping application.

Abstract: The present invention generally relates to automatic transmission controllers and related methods. In one case, the present invention provides a method of calibrating a controller to match an automatic transmission to an electric motor or internal combustion engine. The controller is not integrated into the transmission. The method comprises adjusting parameters of the controller and includes the steps of: a) Defining the Control Architecture; b) using the Defined Control Architecture to Identify Control Loop Input/Output; c) using the Identified Control Input/Output to Define the Control Algorithm Controller; d) using the Control Algorithm Controller definition to either Define the Shift Schedule or Define the Solenoid Handler, either of which can be used in Optimizing Calibration Via Testing.

Abstract: The present invention provides a vehicle motion detecting apparatus that can satisfy a required detection accuracy with a simple architecture and at a low cost, and also maintain reliability of an applied external apparatus. The vehicle motion detecting apparatus 100 of the present invention has a motion detecting section 10 that detects a motion of a vehicle and a malfunction detecting section 20 that detects a malfunction of the motion detecting section 10, and is characterized in that the motion detecting section 10 is a 6-axis inertial sensor as the first multi-axis inertial sensor that is capable of detecting accelerations in directions of three axes and angular velocities about three axes.

Abstract: A control apparatus is provided for a vehicle that includes (i) an engine serving as a drive power source, (ii) a motor/generator serving as the drive power source and (iii) a mechanically-operated transmission mechanism that constitutes a part of a power transmitting path between the drive power source and drive wheels of the vehicle. The control apparatus includes a shift control portion is configured, when an input torque inputted to the mechanically-operated transmission mechanism is to be controlled in process of a coasting shift-down action executed in the mechanically-operated transmission mechanism, to determine an upper limit value of the input torque inputted to the mechanically-operated transmission mechanism in the process of the coasting shift-down action, such that the determined upper limit value is lower during operation of the engine than during stop of the engine.

Abstract: Aspects of the disclosure provide a method for flight control and a control apparatus for flight control. In an example, a first aircraft includes the control apparatus for flight control and the control apparatus includes interface circuitry and processing circuitry. The interface circuitry receives a first flight control instruction and a flight parameter. The first flight control instruction and the flight parameter are sent by a mobile terminal device. The flight parameter is indicative of a preset flight altitude. In response to the first flight control instruction, the processing circuitry controls the first aircraft to fly to the preset flight altitude. Further, the processing circuitry detects an existence of a second aircraft within a surrounding of the first aircraft, and adjusts a flight posture of the first aircraft according to the existence detection of the second aircraft within the surrounding of the first aircraft.

Abstract: A method of monitoring the health of an aircraft propeller whilst the propeller is in operation, the propeller having a plurality of blades extending radially outwardly from a central axis extending through the propeller and a propeller drive shaft, is provided. The method includes obtaining measurements representative of strain in the propeller drive shaft using multiple primary strain sensors, each primary strain sensor providing respective measurements representative of strain. The primary strain sensors are located around a circumference of the drive shaft of the propeller, and each strain sensor is located such that it crosses a plane defined by the radial direction of a blade and the central axis, the plane being bounded by the central axis. A corresponding propeller health monitoring system, an aircraft propeller comprising the system and an aircraft comprising the propeller are also provided.

Abstract: A system that determines a road surface profile based upon filter coefficient data from noise cancellation systems is disclosed. The system includes a filter coefficient monitoring module that is configured to receive a first set of filter coefficient data from an noise cancellation module. The system also includes a road surface profile module that is configured to receive an input representing a road surface type and generate a road surface profile based upon the road surface type and the first set of filter coefficient data and to store the road surface profile including a correspondence between the road surface type and the first set of filter coefficient data.