An ACC function for performing constant speed cruise according to a target speed when there is no preceding other vehicle in a vehicle's driving lane and performing following cruise by maintaining a predetermined inter-vehicle distance when there is a preceding other vehicle, an LKA function for maintaining cruise, an override function for stopping the ACC function and the LKA function by a driver's operation intervention, and a function for performing fallback control of the LKA function, with notifying the driver of ACC function stop, LKA function stop advance notice, and operation takeover, at a time of system limit of the ACC function, LKA override threshold values serving as a determination criterion of the operation intervention for stopping the LKA function at the time of system limit of the ACC function are configured to be altered to a value greater than during normal operation when the ACC function is within the system limit.

A vehicle control system is provided to maintain an SOC level of the battery during autonomous operation of the vehicle. The control system is applied to a vehicle that can be operated autonomously by controlling an engine, a motor, a steering system, a brake system etc. autonomously by a controller, and the vehicle is allowed to coast by manipulating a clutch. During autonomous operation of the vehicle, a first coasting mode in which the engine is stopped and the clutch is disengaged is selected if the SOC level is higher than a threshold level, and a second coasting mode in which the engine is activated and the clutch is disengaged is selected if the SOC level is lower than the threshold level.

A method in a vehicle for determining road properties is described. The method includes: acquiring vehicle acceleration in x, y and z directions; acquiring a rack force; acquiring a wheel speed for each of all four wheels; determining a wheel speed energy based on the wheel speed; determining a wheel slip of all four wheels of the vehicle based on a respective wheel speed of the wheel; determining an acceleration energy in each of the x, y and z-directions based on the vehicle acceleration and the vehicle speed; determining a rack force energy based on the detected rack force; and determining road properties based on the wheel speed energy, rack force energy and vehicle speed. A system is also described for performing the method.

An autonomous driving control device is capable of starting an autonomous driving control without an operation of a driver and reducing a possibility that the driver can not start manual driving. An autonomous driving control is switched to manual driving when a determination section determines that the amount of operation by the driver is equal to or greater than a first threshold, before a predetermined time elapses since the autonomous driving control is automatically started. An autonomous driving control is switched to a manual driving when the determination section determines that the amount of operation by the driver is equal to or greater than a second threshold that is greater than the first threshold, after the predetermined time elapses.

A vehicle control system including: an acquisition unit that is configured to acquire a traffic situation of an advancing direction destination of a subject vehicle; a prediction unit is configured to predict a future state related to the subject vehicle or the periphery of the subject vehicle with reference to the traffic situation that is acquired by the acquisition unit; and a control unit that is configured to perform vehicle control, and is configured to suppress switching or release of the vehicle control in a case where the prediction unit is configured to predict that the vehicle control will return to a state before the switching or the release is performed within a predetermined period or within a predetermined travel distance after the switching or the release of the vehicle control is performed.

A system for detecting hands-on or off of a steering wheel and a method thereof in which hands-on or off detecting rate and accuracy are improved by determining a hands-on or off state by interlocking a direct sensor and an indirect sensor, may include a direct sensor configured for detecting a hands-on sense value depending on a grip area of the steering wheel; an indirect sensor configured for detecting a hands-on sense value depending on a magnitude of a torque for rotating the steering wheel; and a controller connected to the first sensor and the second sensor and combining a direct hands-on sense value detected by the direct sensor and an indirect hands-on sense value detected by the indirect sensor to each other to determine a grip state of the steering wheel depending on a combined hands-on sense condition, and then to display and warn a result of determining the grip state of the steering wheel through an output unit.

Examples of techniques for vehicle suspension system alignment monitoring are disclosed. In one example implementation, a method includes receiving vehicle data and environmental data including, inertial measurement unit (IMU) acceleration data and global positioning system (GPS) velocity data from a GPS associated with the vehicle, and steering wheel angle data, driver applied torque data, and electronic power steering (EPS) applied torque data associated with the steering system. The method further includes mitigating for at least one of a vehicle effect and an environmental effect based on the vehicle data and environmental data. The method further includes detecting a misalignment based at least in part on one or more of the IMU acceleration data, the GPS velocity data, acceleration data, a steering wheel angle, and a self-aligning torque. The method further includes reporting the misalignment of the vehicle based at least in part on detecting the misalignment.

Examples of techniques for vehicle suspension system alignment monitoring are disclosed. In one example implementation, a method includes receiving vehicle data and environmental data including, inertial measurement unit (IMU) acceleration data and global positioning system (GPS) velocity data from a GPS associated with the vehicle, and steering wheel angle data, driver applied torque data, and electronic power steering (EPS) applied torque data associated with the steering system. The method further includes mitigating for at least one of a vehicle effect and an environmental effect based on the vehicle data and environmental data. The method further includes detecting a misalignment based at least in part on one or more of the IMU acceleration data, the GPS velocity data, acceleration data, a steering wheel angle, and a self-aligning torque. The method further includes reporting the misalignment of the vehicle based at least in part on detecting the misalignment.

A lane change system that ensures safety is provided. This lane change system changes lanes by controlling steering in accordance with a path moving from a first lane in which the host vehicle is traveling to a second lane different from the lane in which the host vehicle is traveling, wherein the lane changing is stopped when there are any peripheral vehicles at high risk for collision in the second lane during a lane change from the first lane to the second lane.

In accordance with one aspect of the present disclosure, a vehicle may include a plurality of sensors configured to detect an object and to output a plurality of detection signals having a steering torque related to a result of detection; a braking device driver configured to drive a driving device of the vehicle; and a controller configured to select a single detection signal among the plurality of detection signals based on a predetermined priority, and configured to output an integrated control signal controlling the braking device driver based on the determined steering torque of the detection signal.