A traveling control apparatus that allows lane changing due to a driver's steering intervention while continuing lane maintenance control includes an electronic control unit. The electronic control unit sets a target trace along a lane in which a vehicle is traveling, determines a target steering angle of the vehicle based on the target trace and a lateral position of the vehicle, applies control torque to a steering shaft of the vehicle based on the target steering angle, resets, in response to a change in the lateral position due to the driver's steering intervention which exceeds the control torque and entrance of the vehicle into an adjacent lane, the target trace to the adjacent lane, and determines, using a gradual changing function, in response to the resetting of the target trace, the target steering angle by changing the target steering angle at the time of the resetting.

Upper and lower limits of one or more parameters are established for each of a plurality of states of operation of a vehicle. One of the plurality of states for operating the vehicle is identified based at least in part on the parameters, data describing a human operator, and data describing an environment around the vehicle. A vehicle subsystem is actuated according to an operation mode corresponding to the current operating state.

A driving takeover control apparatus is equipped in a vehicle capable of travelling by automated driving and controls a driving takeover operation at a transition from high automated driving to low automated driving. The apparatus includes a driver operation device, a vehicle driving device, an alertness detecting device, a computation control device, and an output limiting device. A driver operates the driver operation device to steer the vehicle and adjust a vehicle speed. The vehicle driving device steers the vehicle and adjusts the vehicle speed based on an operation amount given to the driver operation device. The alertness detecting device is detects an alertness level of the driver at the transition. The computation control device drives the output limiting device to perform an output limitation operation if the alertness level is a certain level or lower. The output limiting device limits an output of the vehicle driving device.

A method for controlling a drive train of a hybrid vehicle which includes an internal combustion engine, an electric machine that is operated as a motor or generator, and a transmission. Energy is recovered in the overrun operation of the vehicle by operating the electric machine in generator mode. The transmission has at least one free-wheel-connected low forward gear that only transmits traction torque, and at least one free-wheel-free high forward gear. When the free-wheel-connected low forward gear is engaged and the vehicle transitions into the overrun operation, or the driver requests a transition into the overrun operation by selecting the free-wheel-connected low forward gear, an overrun torque is set via the free-wheel-free high forward gear by a generator operation of the electric machine for energy recovery. The overrun torque thereby substantially corresponds to an overrun torque of a free-wheel-free configuration of the free-wheel-connected low forward gear.

A vehicle that includes: an input device that is configured to receive a user command from a user; and a controller that is configured to: obtain vehicle driving information, based on the vehicle driving information, control the vehicle to travel autonomously, determine whether the user command is inconsistent with the vehicle driving information, based on a determination that the user command is inconsistent with the vehicle driving information, determine to ignore the user command, in response to a determination to ignore the user command, control the vehicle based on the vehicle driving information without the user command, based on a determination that the user command is consistent with the vehicle driving information, determine to apply the user command, and in response to a determination to apply the user command, control the vehicle based on the vehicle driving information and the user command is disclosed.

Disclosed are a parking alignment adjustment apparatus and method. The parking alignment adjustment apparatus comprises a first sensor configured to sense driving information of a host vehicle, a second sensor configured to sense surrounding environment information of the host vehicle, and a control unit. In this case, the control unit is configured to receive the driving information and the surrounding environment information from the first sensor and the second sensor, configured to determine whether the host vehicle is being parked on the basis of the received driving information, configured to calculate a target parking position on the basis of the received surrounding environment information when the host vehicle is being parked, configured to compare a current parking position to the target parking position and determine whether it is possible to improve parking alignment after the host vehicle is parked by a driver, configured to show, to the driver, that the improvement of the parking alignment is possible when it is possible to improve parking alignment, and configured to control the host vehicle such that the host vehicle is parked at the target parking position when a parking alignment improvement command is entered by the driver.

A vehicle control system for a vehicle includes a plurality of sensors disposed at a vehicle and having respective fields of sensing exterior of the vehicle. A processor is operable to process data captured by the sensors, and a control, responsive to processing by the processor of data captured by the sensors, controls a plurality of vehicle systems and is capable of autonomous control of the vehicle to autonomously drive the vehicle along a road. The vehicle control system includes a user input that is selectively actuatable by an occupant of the vehicle so that the occupant can select one of at least (i) a non-autonomous mode where the occupant has driving control of the vehicle and non-autonomously drives the vehicle along the road, and (ii) an autonomous mode where said control autonomously drives the vehicle along the road.

Motorcycles can become unstable when operating at high speeds and at high cornering levels. For example, they can exhibit an oscillation at the rear wheel commonly known as “weave.” A system and method is provided which utilizes a high-fidelity computer simulation model of a 2- or 3-wheel motorcycle to predict operating states such as yaw rate, lateral acceleration and roll angle for a stable motorcycle at a given speed and steer angle. The operating state of a physical motorcycle can be measured and compared to that of the model at every instant in time to determine if the operating state of the physical motorcycle differs from that of the simulation model in such a way as to indicate loss of stability. The nature of that difference can then be used to intervene in the operation of the motorcycle independent of driver actions by application of brakes, modulating the engine torque or applying torques to urge the steering system in a corrective direction. Thus by comparing the physical response of the motorcycle to that of the computer model in an on-board controller these interventions can be applied at a time and intensity to stabilize the motorcycle and prevent a loss of control.

A vehicle that provides an advanced driver assistance system (ADAS) recommendation function and a method of controlling the vehicle are provided. The vehicle includes a collection unit that is configured to collect behavior information of a driver and a controller that is configured to determine an advanced driver assistance system (ADAS) mode recommendable to the driver based on the collected behavior information and to output the determined ADAS mode.

Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving, by a processor, data associated with a center of gravity of the vehicle; determining, by a processor, a wheel moment adjustment command for each wheel of the vehicle based on the received data; determining, by a processor, at least one control output based on driver commands and the wheel moment adjustment command for each wheel; and selectively controlling, by a processor, at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one control output.