A control method and apparatus and a terminal device are provided. The method includes: obtaining first status information of a first terminal, where the first status information includes at least one first dynamic parameter and/or at least one first static parameter; obtaining second status information of a second terminal, where the second status information includes at least one second dynamic parameter and/or at least one second static parameter; determining that the second terminal performs lateral movement; and determining, based on the first status information and/or the second status information, whether to control the first terminal to perform lateral movement.

A control allocation system for a vehicle includes an electric power steering (EPS) system, one or more redundant actuation systems for controlling a plurality of wheels of the vehicle, and one or more controllers in electronic communication with the EPS system and the one or more redundant actuation systems. The one or more controllers execute instructions to determine tracking errors and vehicle dynamics states based on a plurality of local path planning references and receive a fault signal indicating the EPS system is non-functional. In response to receiving the fault signal, the one or more controllers determine a plurality of corrective constraints in real-time. The one or more controllers solve a real-time constrained optimization problem for each sampling interval of the control allocation system to determine a plurality of control actions based on the plurality of corrective constraints and the tracking errors.

A vehicle control device activates a safety device for suppressing a collision between a host vehicle and an oncoming vehicle that is traveling straight along an oncoming traffic lane, when the host vehicle changes from traveling straight along its own traffic lane to making a right or left turn to cross the oncoming traffic lane. The vehicle control device includes a judgement unit and a control unit, where the judgement unit judges when the host vehicle is in a right or left turning condition prior to crossing the oncoming traffic lane, and if is determined that the host vehicle is in the right or left turning condition, the control unit activates the safety device based on a time to lateral collision. The time to lateral collision is obtained by dividing a lateral distance by a lateral velocity, where the lateral velocity is the velocity of the host vehicle in a lateral direction orthogonal to the straight travel direction of the oncoming vehicle, and the lateral distance is the distance, in the lateral direction, from the host vehicle to a predetermined vehicle traffic area defined along the straight travel path of the oncoming vehicle.

In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

Provided are methods for managing vehicle sensors, which can include: determining a stopping distance for a vehicle travelling on a route, identifying one or more sensors of the vehicle that have respective detection ranges less than the stopping distance, and upon identifying the one or more sensors, deactivating at least one operation of at least one sensor of the one or more sensors. Systems and computer program products are also provided.

A method of transferring vehicle communication content. The apparatus includes a surrounding-environment detection unit configured to detect a surrounding-environment information of a vehicle, a communication content transfer unit provided on at least one of a front side, a rear side, and a lateral side of the vehicle and configured to output sound or light; and a controller configured to recognize an object on the basis of the surrounding-environment information of the vehicle, to rotate the communication content transfer unit in a direction toward the object, depending on whether or not communication content needs to be transferred to the recognized object, and to output the communication content containing warning information or guide information through the communication content transfer unit.

The present invention relates to an artificial intelligent vehicle, and to a vehicle control device and a control method thereof estimating and recommending a destination of a driver boarded on a vehicle, including: a memory including driving path information of the vehicle, and when an engine of the vehicle is started, among the travel path information, a processor detecting at least one first driving path information based on a location of the vehicle and a time at which the engine is started, calculating an estimated probability for each of the first destinations extracted from each of the first driving path information, and controlling the vehicle so that at least one of the first destinations is output as an estimated destination based on the calculated estimated probability.

A control apparatus to be applied to a vehicle includes an acquiring unit and an estimator. The acquiring unit is configured to acquire wheel speeds of respective wheels of the vehicle and a steering angle of the vehicle. The estimator is configured to estimate vehicle speeds at respective positions of the respective wheels, on the basis of a minimum wheel speed among the wheel speeds of the respective wheels and the steering angle.

A method includes at least the following phases: a first phase wherein a path to be followed is generated, the path being subdivided into a series of sections of which the starting point forms an intermediate position; a second phase wherein, at the current intermediate position of the vehicle: a non-zero curvature is defined for each of the next n prediction horizon sections, the curvature varying progressively from one section to the next; a prediction is made, before the vehicle engages a movement, as to whether the path can be followed to the prediction horizon, as a function of imposed constraints and of the estimated lateral and/or longitudinal slips; a third phase wherein, if the path can be followed, the steering lock angle of the front wheels and the linear traction speed of the vehicle are controlled as a function of the state of the vehicle and of the lateral and/or longitudinal slips to line up the centre of the axle of the rear wheels on the path; if the path cannot be followed, the vehicle is realigned towards the target position and a new reference path is generated according to the first phase.

An engine stop control device is provided for a vehicle that ensures a sufficient operation frequency of coast stop operation during travel on a congested road, thereby to improve practical fuel economy. The vehicle has an engine that is capable of being restarted. A controller is configured to stop the engine automatically when the vehicle, after experiencing a travel with a vehicle speed VSP exceeding a first threshold value, decreases the speed below a CS (coast stop) start vehicle speed. The controller is further configured to set a second threshold value below the first threshold value. The controller is further configured, after starting from an engine automatic stop due to the coast stop control and when the vehicle experiences travel exceeding the second threshold value without exceeding the first threshold value, to permit the automatic engine stop due to the coast stop control at least once.