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 control apparatus of a vehicle includes: a steering apparatus (6) including a steering wheel (11) operated in order to turn a vehicle (1) and a steering angle sensor (8) that detects a steering angle of the steering wheel (11), the steering apparatus (6) steering a front wheel (steered wheel) (2) of the vehicle (1) in accordance with operation of the steering wheel (11); and a controller (14) that sets a steering angle acceleration based on the steering angle detected by the steering angle sensor (8) and controls vehicle motion when the steering wheel (11) is operated to be turned. In particular, the controller (14) suppresses a rise of lateral acceleration of the vehicle (1) based on the steering angle acceleration in order to control the vehicle motion.

A method for controlling autonomous driving for an autonomous driving vehicle, includes collecting sensing information on autonomous driving in an autonomous driving mode, calculating an initial longitudinal control value based on the sensing information on the autonomous driving, correcting the initial longitudinal control value based on the sensing information, and performing a longitudinal driving control by transmitting the corrected longitudinal control value to a lower controller.

An end point speed at an end point of inertial travel that a vehicle is controlled to perform in a short section l.sub.i is calculated using a weight, a start point speed, slopes, and a horizontal distance, based on a change in energy of the vehicle or an acceleration of the vehicle in the short section. In a case where the calculated end point speed is within a speed range, the vehicle is controlled to perform inertial travel in the short section. In this way, the speed of the vehicle in a case where the vehicle is controlled to perform inertial travel can be accurately calculated and the vehicle can be prevented from deviating from a set speed range at an early stage even when controlled to perform inertial travel, thereby increasing the distance traveled by inertial travel and effectively increasing fuel economy.

A controller includes a processor programmed to determine, for a vehicle, a first control input based on input data and first reference parameters. The processor is further programmed to operate the vehicle according to the first control input. Based on operating data of the vehicle for an operating condition, the processor determines a second control input for the vehicle. Operating the vehicle according to the second control input reduces a cost of operating the vehicle relative to operating the vehicle according to the first control input. The processor is further programmed to determine, based on the second control input, second reference parameters. The controller generates a third control input based on the second reference parameters and the input data. A cost of operating the vehicle according to the third control input is reduced relative to the cost of operating the vehicle based on the first control input.

A driver assistance system for avoiding collisions includes an environmental sensor for detecting the traffic environment of the vehicle and a processing unit configured to assess the traffic environment as to the likelihood of a danger and plan a route avoiding or at least minimizing the danger for the vehicle. The processing unit is further configured to predict a possible control intervention of the driver in reaction to the danger and select a route which is compatible with that control intervention.

A driving assistance control device for a vehicle includes: a moving object detection sensor configured to detect a moving object moving along a roadside in a traveling direction of the vehicle; a driving operation detection sensor configured to detect a driving operation of a driver; an actuator; and an Electronic Control Unit configured to perform automatic steering control of the vehicle by the actuator to avoid the moving object based on a detection result of the moving object, the Electronic Control Unit being configured to start the automatic steering control based on a driving steering of the driver after the moving object is detected.

The present disclosure provides an assisted driving method, including: monitoring, in response to that a driving speed of a vehicle is less than or equal to a preset speed and a steering wheel direction is deflected within a first preset time period, an instantaneous oil consumption value of the vehicle; determining whether the instantaneous oil consumption value of the vehicle reaches a first preset reference value within a second preset time period; and sending a reminding message in response to that the instantaneous oil consumption value of the vehicle reaches the first preset reference value within the second preset time period. The present disclosure further provides an assisted driving apparatus, an electronic apparatus, a vehicle-mounted system, and a storage medium.

Four-wheel steering of a vehicle, e.g., in which leading wheels and trailing wheels are steered independently of each other, can provide improved maneuverability and stability. A first vehicle model may be used to determine trajectories for execution by a vehicle equipped with four-wheel steering. A second vehicle model may be used to control the vehicle relative to the determined trajectories. For instance, the second vehicle model can determine leading wheels steering angles for steering leading wheels of the vehicle and trailing wheels steering angles for steering trailing wheels of the vehicle, independently of the leading wheels.

An apparatus for calculating torque of a vehicle for exiting drift driving may include a processor and a non-transitory computer-readable storage medium storing a program which, when executed by the processor, causes: determining a driver's intention to exit drift driving based on an opening degree of an accelerator pedal and a steering angle; and calculating target torque of a front wheel motor based on the opening degree of the accelerator pedal when the driver's intention to exit drift driving is determined.