Abstract: Methods, systems, and apparatuses for logging U-turn events and vehicle routing are disclosed. A method for logging a U-turn event includes detecting, at a navigation system, a button press on a human interface device separate from the navigation system based on a signal received from the human interface device. The method also includes, in response to the user input, determining a location of a vehicle corresponding to the navigation system and one or more vehicle characteristics. The method also includes logging U-turn event data for the vehicle, the U-turn event data comprising the location and the one or more vehicle characteristics.

Abstract: A system for a vehicle is disclosed. The system may include an accumulator, a pump, and a controller. The controller may be configured to, responsive to braking of the vehicle, close a line pressure regulator to isolate the accumulator and pump from a transmission pressure line demand, and operate the pump to charge the accumulator without satisfying any of the demand, and responsive to a tip-in event, open the line pressure regulator and operate the accumulator and pump to satisfy the demand.

Abstract: A method for recommending a route includes obtaining a first start point and a first end point relating to a road network. The method also includes obtaining a route recommendation model. The method further includes determining a recommendation route from the first start point to the first end point based on the route recommendation model.

Abstract: The present embodiments relate to a collision prevention apparatus and method, and a driving support apparatus. The collision prevention apparatus may comprise: a collision risk determiner that determines a collision risk of a vehicle, a driving intervention determiner that determines driving intervention of a driver, and a collision prevention controller that controls a collision risk alert according to a result of determination on a collision risk of the vehicle, and adjusts a braking time point of the vehicle according to a result of determination on driving intervention of the driver.

Abstract: The subject matter described herein includes a modular and extensible approach to integrate noisy measurements from multiple heterogeneous sensors that yield either absolute or relative observations at different and varying time intervals, and to provide smooth and globally consistent estimates of position in real time for autonomous flight. We describe the development of the algorithms and software architecture for a new 1.9 kg MAV platform equipped with an IMU, laser scanner, stereo cameras, pressure altimeter, magnetometer, and a GPS receiver, in which the state estimation and control are performed onboard on an Intel NUC 3rd generation i3 processor. We illustrate the robustness of our framework in large-scale, indoor-outdoor autonomous aerial navigation experiments involving traversals of over 440 meters at average speeds of 1.5 m/s with winds around 10 mph while entering and exiting buildings.

Abstract: The present disclosure discloses a navigation method and an apparatus, and a storage medium and a device. The method comprises: obtaining a navigation start instruction for a set function; searching a navigation rule corresponding to the set function and locating a current position of a terminal according to the navigation start instruction; and forming a navigation route according to the current position and the navigation rule. The navigation method provided by the present disclosure, by obtaining a navigation start instruction for a set function, searching a navigation rule corresponding to the set function and locating a current position of a terminal according to the navigation start instruction, forms a navigation route according to the current position and the navigation rule.

Abstract: A method and apparatus of displaying data in an aircraft, the method including receiving data, from at least one sensor operably coupled to the aircraft, averaging, by a control module, at least two data points of the received data to define a delta and averaged data, comparing, by the control module, the delta to a reference threshold value, and providing an indication, on a display of the aircraft, of the averaged data based on the comparing.

Abstract: This document sets out a method of adjusting an agricultural implement's orientation. The method comprises recording, while the agricultural implement is travelling, a series of orientation values corresponding to the orientation of the agricultural implement in at least one vertical plane, calculating a derived orientation value based on said series of values and, if the derived orientation value is outside a predetermined range, adjusting a mutual position relationship between at least two parts of the agricultural implement that can move relative to each other.

Abstract: Provided is a cleaning robot including a main body; a driving unit configured to move the main body; a communication unit configured to establish wireless communication with a user terminal to which a manipulation command is input; and a controller configured to transmit a position detecting signal to the user terminal, and detect a position of the user terminal based on a time difference between the position detecting signal and a response signal transmitted from the user terminal.

Abstract: A vehicle control apparatus includes a collision time calculation section configured to calculate a time-to-collision; an activation region setting section configured to set an activation region to an area present ahead of and in the travelling direction of an own vehicle, the activation region having a predetermined width in a lateral direction that is orthogonal to a path of the own vehicle; a timing setting section configured to set timing activating a safety device; a determination region setting section configured to set a determination region to an area present diagonally ahead of and in the travelling direction of the own vehicle, the determination region having a predetermined width in the lateral direction; a timer section configured to measure a time for which a target stays in the determination region; a correction section configured to perform, in a case where the time measured by the timer section is long, a process for decreasing the width of the activation region and a process for decreasing ac

Abstract: A method, system, and/or computer program product controls operations of an aerial drone within a predetermined airspace. A drone controller device detects a presence of an aerial drone. The drone controller device and the aerial drone negotiate permission to fly within a predetermined airspace under a predefined aerial drone state. In response to successfully negotiating the permission, the drone controller device enables a drone on-board computer to operate the aerial drone within the predetermined airspace in accordance with the predefined aerial drone state.

Abstract: A travel control method of the present invention includes: recognizing the lane in which the host vehicle is traveling; controlling the travel of the host vehicle such that the host vehicle is situated at a predetermined position relative to a boundary line of the lane; detecting an increase in the lane width of the lane in which the host vehicle is traveling; and, if determining that one of the boundary lines situated to the left and the right of the host vehicle is a dashed line, controlling the travel of the host vehicle based on the dashed boundary line.

Abstract: In a computer-implemented method embodiment of the present invention, a self-driving vehicle (SDV) is steered onto a particular tire path on a roadway based on past taken tire paths. One or more processors determine a pattern of tire path usage by vehicles on a roadway. Based on this previous tire path usage, the processor(s) direct an SDV on-board computer on an SDV to pick at least one second tire path for the SDV to drive thereon based on the pattern of tire path usage by the vehicles on the roadway.

Abstract: A Public Safety Access Point (PSAP) or other system can receive an emergency event. Based on information associated with the emergency event, the PSAP can determine which emergency vehicle can respond to the event. The PSAP may then determine an origination point, a destination, and a route that will be used by the emergency vehicle. The route information may then be communicated to a map server, one or more vehicles that may be affected by the route of the emergency vehicle, and/or other systems, devices, and/or computer systems. The map server, vehicles, etc. can then reroute or change a characteristic of a vehicle's travel to adjust for the travel and route of the emergency vehicles.

Abstract: A gyro seat includes: a seat body comprising a seat cushion and a seat back coupled to the seat cushion; and a seat gyroscope mounted to the seat body, the seat gyroscope compensating a movement of the seat body by control of first, second and third axes, where the first axis corresponds to a yaw of the seat body as a z axis of an xyz coordinate system, the second axis corresponds to a pitch of the seat body as an x axis of the xyz coordinate system, and the third axis corresponds to a roll of the seat body as a y axis of the xyz coordinate system.

Abstract: In a driving assistance device, A arrival position calculation unit specifies an object position on an XY plane, and calculates a predicted arrival position when an object arrives at an X axis based upon a calculated travel trajectory by calculating the travel trajectory of the object. An operation permission unit permits automatic brake operation based upon a collision determination between an own vehicle and the object, when the predicted arrival position falls within a range of an operation target width. An overlapping region extraction unit sets detection error regions on the XY plane, respectively, and extracts a region where both detection error regions set are overlapped with each other as an overlapping region. A setting unit enlarges an operation target width after an automatic-brake-operation start when a characteristic amount condition relating to a size of the overlapping region is satisfied.

Abstract: A drone includes a light emitter that emits light and circuitry which, in operation, obtains flight state information regarding a flight state of the drone, determines, on the basis of the flight state information, a direction in which the light emitter is to emit light, and controls the light emitter such that the light emitter emits light in the determined direction.

Abstract: A steering control method and a steering control system for self-driving of a vehicle are disclosed. The method comprises obtaining information about an expected steering angle of a vehicle based on an automatic planning control operation; detecting whether an effective torque is applied to a steering wheel by a driver; and when it is detected that the driver has applied the effective torque to the steering wheel, computing a difference between a turning angle of the steering wheel controlled by the driver and the expected steering angle of a vehicle, and determining a self-driving intent prompt torque according to the difference between the two, wherein the self-driving intent prompt torque is to be applied to a steering system.

Abstract: A hybrid vehicle is configured such that one of a CD mode and a CS mode can be selectively set as a traveling mode. The hybrid vehicle includes: a power generation apparatus; an electricity storage device; and an electronic control unit configured to control the power generation apparatus such that start-up of an engine is restricted to a larger extent when a driver switches the traveling mode from the CD mode to the CS mode while a SOC of the electricity storage device is higher than an upper limit of a control center value in the CS mode, than when the driver switches the traveling mode from the CD mode to the CS mode while the SOC is equal to or lower than the upper limit.

Abstract: A system uses machine models to estimate trip durations or distance. The system trains a historical model to estimate trip duration using characteristics of past trips. The system trains a real-time model to estimate trip duration using characteristics of recently completed trips. The historical and real-time models may use different time windows of training data to predict estimates, and may be trained to predict an adjustment to an initial trip estimate. A selector model is trained to predict whether the historical model, the real-time model, or a combination of the historical and real-time models will more accurately estimate a trip duration, given features associated with a trip duration request, and the system accordingly uses the models to estimate a trip duration. In some embodiments, the real-time model and the selector may be trained using batch machine learning techniques which allow the models to incorporate new trip data as trips complete.