System, methods, and other embodiments described herein relate to autonomously controlling a vehicle according to a trajectory plan. In one embodiment, a method includes updating, upon traveling over at least a portion of a current segment of a roadway, the trajectory plan for a subsequent segment of the roadway by setting a fixed portion of the trajectory plan to include: (i) a steering parameter to be fixed for a first duration of time and (ii) a speed parameter to be fixed for a second duration of time. The first duration of time and the second duration of time are of different lengths. The method includes computing input controls for autonomously controlling the vehicle according to the fixed portion of the trajectory plan. The method includes controlling the vehicle according to the input controls over the subsequent segment of the roadway.

A vehicle control system includes a vehicle-mounted sensor, a map database, a control rule database, and an electronic control unit. The electronic control unit is configured to recognize the position of a vehicle on a map; control traveling of the vehicle by using one of a plurality of control rules based on the position of the vehicle on the map, map information, and a detection result of the vehicle-mounted sensor; recognize a road section in the traveling direction of the vehicle based on the position of the vehicle on the map and the map information; specify a control rule used in the road section based on the recognized road section and control rule data; and control traveling of the vehicle in the road section by using the specified control rule.

An autonomous driving control system and a method thereof are provided. The autonomous driving control system includes a strategy performing device that generates and performs a stop strategy of a vehicle on the basis of a target stop location, when a critical situation occurs during autonomous driving, a behavior controller that controls a behavior of the vehicle depending on the stop strategy, and an emergency module controller that runs a predetermined emergency module, when the critical situation occurs.

A multi-vehicle control system (MVCS) for control of a multi-vehicle system having independently powered and steered lead and trailer vehicles connected by a slidable length sensing tow bar system. The MVCS includes a controller configured to receive throttle, brake, and steering signals from the lead vehicle, receive signals from the tow bar system indicating an extension length of the tow bar system, a front angle deviation of the lead vehicle, and a rear angle deviation of the trailer vehicle. The controller is further configured to determine, based on the received signals, a trailer vehicle acceleration/deceleration output and a trailer vehicle steering output, determine a driving scenario of the multi-vehicle system, and operate the multi-vehicle system based on the determined driving scenario and the determined trailer vehicle acceleration/deceleration output and trailer vehicle steering output.

A coordinated control method for electric vehicles having independent four-wheel driving and steering, comprising the steps of: calculating to obtain a desired value of yaw velocity according to the steering angle and the current vehicle driving speed, and limiting the desired value of yaw velocity according to the current road adhesion condition; constructing an optimization problem according to the current vehicle motion state and the desired value of yaw velocity, and solving the optimization problem to obtain a desired active rear wheel steering angle control variable and a desired additional yaw moment control variable; calculating to obtain an additional torque of each wheel according to a desired additional yaw moment control variable, obtaining a desired active rear wheel steering angle, and sending the additional torque of each wheel and the desired active rear wheel steering angle to an executor of the vehicle for performing a coordinated control.

A vehicle control method, includes: obtaining front lane line information and front guardrail information of a controlled vehicle; determining a lateral displacement deviation of the controlled vehicle according to at least one of the front lane line information and the front guardrail information, where the lateral displacement deviation is a lateral distance between a current position of the controlled vehicle and a preview position of the controlled vehicle; and according to the lateral displacement deviation, controlling the controlled vehicle to travel. A vehicle control apparatus, an electronic device, and a storage medium are further provided.

A controller of a motor vehicle comprises a drive motor, wheels, braking devices for the wheels, said braking devices being separately controllable by the controller, an ambient sensor, a driving status sensor and a steering system. For increasing the driving stability, a steering angle is determinable by the controller from signals of the ambient sensor and of the driving status sensor, said steering angle providing a stable driving status in addition to a targeted braking of the wheels, and the steering angle is adjustable at the steering system in order to keep the motor vehicle on the paved road, in particular when driving along a curve, so that the motor vehicle remains on an intersecting plane of the possible dynamic vehicle area ahead with an actual road without skidding or colliding with other obstacles.

A parking assistance control device detects a parkable area, where a host vehicle can be parked, based on target information, causes the vehicle to move from the initial position, which is the vehicle's position when the parkable area is detected, to the parkable area by controlling a driving device, braking device, and steering device and, when the target information indicates that a stopper is installed in the parkable area, causes the vehicle to stop with its position and direction with respect to the stopper matching a predetermined position and direction. The parking assistance control device causes the vehicle to stop with the distance between the vehicle's predetermined first reference point and the stopper matching a first predetermined value so that the vehicle is forward-parked in the state where the front end of a part, provided on the vehicle's front side and lower than the stopper, is separated from the stopper.

An autonomous driving system having an autonomous driving assistance apparatus includes: a gateway unit wirelessly communicating with a router among a plurality of routers installed in an autonomous driving road; a signal processing unit providing identification information of a vehicle at the time of setting a wireless communication link with each router and providing driving path information of the vehicle to the router every set cycle; a path tracking unit determining a speed, a progress direction, and a steering angle of the vehicle included in the driving path information so as to drive the vehicle based on driving path information; a speed control unit controlling a speed of the vehicle based on the speed determined by the path tracking unit; and a steering angle control unit controlling a steering angle of the vehicle based on the progress direction and steering angle determined by the path tracking unit.

A set of driving scenarios are determined for different types of vehicles. Each driving scenario corresponds to a specific movement of a particular type of autonomous vehicles. For each of the driving scenarios of each type of autonomous vehicles, a set of driving statistics is obtained, including driving parameters used to control and drive the vehicle, a driving condition at the point in time, and a sideslip caused by the driving parameters and the driving condition under the driving scenario. A driving scenario/sideslip mapping table or database is constructed. The scenario/sideslip mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a sideslip that is calculated based on the driving statistics. The scenario/sideslip mapping table is utilized subsequently to predict the sideslip under the similar driving environment, such that the driving planning and control can be compensated.