The present disclosure relates to an autonomous vehicle, a control system for remotely controlling the same, and a method thereof. An exemplary embodiment of the present disclosure provides a control system including: a steering configured to be controlled by a user for steering control of an autonomous vehicle; and a processor configured to receive, from the autonomous vehicle, a remote control request, and an indication of a current steering angle of the autonomous vehicle, and synchronize, based on the indication, a steering angle of the autonomous vehicle with a steering angle of the steering.

The subject disclosure relates to features that improve safety for autonomous vehicle (AV) maneuvers and in particular, that improve safety for parallel parking. A process of the disclosed technology includes steps for initiating a parking maneuver, navigating the AV into a parking location, and detecting a roadway grade with respect to a direction of the AV. In some aspects, the process can further include steps for automatically adjusting a wheel angle of the AV based on the roadway grade with respect to the direction of the AV. Systems and machine-readable media are also provided.

A method for controlling vehicle travelling includes: detecting a plurality of travelling states of a vehicle, the plurality of travelling states includes a plurality of travelling directions; respectively previewing the vehicle travelling along the plurality of travelling directions from an original position in a lane to obtain a plurality of previewing paths; fitting a plurality of turning paths of the vehicle travelling from the original position to a target path in the lane according to the plurality of previewing paths; using the plurality of turning paths to calculate change information of a plurality of steering wheel angles; and adjusting the plurality of travelling directions according to the change information of the steering wheel angles, so as to control the vehicle to travel from the original position to the target path along the turning path.

A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

A vehicle gear-shifting control apparatus is equipped with an engine, a motor, an automatic transmission, a friction brake system, and a controller which executes, during deceleration of an automobile, a gear-shifting control of changing a shift stage of the automatic transmission by outputting a gear-shifting signal in accordance with the rotation speed of an input shaft and a regeneration control of performing regeneration by at least one of distributing a braking force by the friction brake system and imparting a regenerative braking torque to rear wheels by causing the motor to perform a regeneration operation. The controller executes a first coordinated gear-shifting control of reducing hydraulic pressure in the friction brake system and, at the same time, changing the shift stage while continuing the regeneration operation during brake regeneration and executes a second coordinated gear-shifting control of changing the shift stage after increasing an input torque during non-brake regeneration.

A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

A vehicle control device, a vehicle control method, and a vehicle control system according to the present invention obtains, when a vehicle traveling under a lane keeping control is to change lanes, based on a stored physical quantity related to a lateral position of the vehicle relative to a lane marker and a stored physical quantity related to a yaw angle of the vehicle relative to the lane marker, a physical quantity related to a target trajectory to allow the vehicle to cross a boundary toward a destination lane of the lane change to travel while keeping a predetermined position in a width direction of the destination lane of the lane change, and outputs, based on the physical quantity related to the target trajectory, a control command related to a steering to allow the vehicle to change lanes.

A method of controlling a vehicle includes obtaining, by a camera, an image of a road ahead; recognizing, by a controller, a curvature of a front lane from the road image and obtaining position and speed information of another vehicle based on obstacle information detected by an obstacle detector; periodically storing, by a storage, driving speed information, yaw rate information, and steering angle information while driving; recognizing, by the controller, a curvature of a rear lane based on the driving speed information, yaw rate information, and steering angle information in response to determining that a lane change is necessary; determining, by the controller, a lane change possibility based on the curvature of the front lane, the curvature of the rear lane, and the position speed information of the other vehicle; and controlling, by the controller, at least one of steering, deceleration, and acceleration based on the lane change possibility.

A method is provided for controlling the movement of a host vehicle. Lane data related to road items are determined from a data source, and object data acquired from objects are determined via a sensor system. The road items and the objects are located in an external environment of the host vehicle. A machine-learning algorithm is fed with the lane data and the object data to generate a set of controlling functions for controlling the movement of the host vehicle by performing the steps of: classifying a predefined set of maneuvers for the host vehicle based on the lane data and the object data, and determining a set of controlling functions related to kinematics of the host vehicle. The movement of the host vehicle is controlled based on the classified maneuvers and the determined controlling functions.