Abstract: A driving assist system for vehicle comprises a state recognition device that detects vehicle conditions of a subject vehicle and a traveling environment for vehicle surroundings; a risk potential calculator that calculates a risk potential for vehicle surroundings based on detection results of the state recognition device; a risk change estimator that estimates change in risk felt by a driver; a correction device that corrects a calculation equation for calculating the risk potential at the risk potential calculator based on estimation results of the risk change estimator; and an operation reaction force controller that controls operation reaction force generated at a vehicle operation equipment based on the risk potential calculated using the calculation equation corrected by the correction device.

Abstract: A vehicle driving assist system is provided that calculates a risk potential indicative of a degree of convergence between the host vehicle and the preceding obstacle. A first driving assistance control system controls at least one of an actuation reaction force exerted by a driver-operated driving operation device and a braking/driving force exerted against the host vehicle based on the risk potential calculated. A second driving assistance control system controls the braking/driving force of the host vehicle such that a headway distance is maintained between the host vehicle and the obstacle. A transition detecting section detects a transition of operating states of the first and second driving assistance control systems. The control adjusting section adjusts the control executed by the first and second driving assistance control systems when a transition of operating state is detected.

Abstract: A method and a system for assisting a driver operating a driver controlled input device within a vehicle, acquires data including information on environment in a field around the vehicle and information on vehicle setting regarding how devices are set within the vehicle. A risk perceived from the environment is calculated using the acquired data. Using the vehicle setting, the risk perceived is modified. Accounting for the modified risk perceived, an increment in force applied to the driver via the driver controlled input device is determined.

Abstract: A vehicle driving assist system is configured to convey a risk potential relating to a preceding obstacle to a driver using both visual information and haptic information. For example, the vehicle driving assist system executes accelerator pedal actuation reaction force control such that an actuation reaction force is generated in accordance with a risk potential that expresses a degree of convergence between the host vehicle and a preceding obstacle. In order to convey to the driver in a clear manner which preceding obstacle(s) is an obstacle targeted by the risk potential calculation and the reaction force control, the system displays a reference frame or marker at a position corresponding to the targeted obstacle (preceding vehicle). At least one of size, color, shape and brightness of the marker is set in accordance with the risk potential.

Abstract: A method and a system for assisting a driver operating a driver controlled input device within a vehicle, acquires data including information on environment in a field around the vehicle and information on vehicle setting regarding how devices are set within the vehicle. A risk perceived from the environment is calculated using the acquired data. Using the vehicle setting, the risk perceived is modified. Accounting for the modified risk perceived, an increment in force applied to the driver via the driver controlled input device is determined.

Abstract: A vehicle driving assist system has a controller configured to urge a driver to slow down (decelerate) in locations where visibility is poor. The controller detects a traveling condition of a host vehicle, e.g., when the host vehicle is approaching a designated area, such as a school zone, and then selectively executes an imaginary speed limiting road protrusion control that generates an imaginary speed limiting road protrusion by artificially reproducing a vehicle behavior that simulates the host vehicle crosses an actual speed limiting road protrusion arranged on a road surface, based on the traveling condition of the host vehicle.

Abstract: A method and a system for assisting a driver operating a driver controlled input device within a vehicle, acquires data including information on environment in a field around the vehicle and information on vehicle setting regarding how devices are set within the vehicle. A risk perceived from the environment is calculated using the acquired data. Using the vehicle setting, the risk perceived is modified. Accounting for the modified risk perceived, an increment in force applied to the driver via the driver controlled input device is determined.

Abstract: A vehicle driving assist system is configured to provide a driver with advanced notification regarding changes in the operating states of the controls when several controls are being executed. The vehicle driving assist system has a controller configured to execute an accelerator pedal actuation reaction force control based on a risk potential that indicates a degree of convergence between the host vehicle and a preceding obstacle and an automatic braking control based on the possibility of contact between the host vehicle and the preceding obstacle. When the automatic braking control will change from a low operating state to a high operating state while an actuation reaction force is being generated in the accelerator pedal in accordance with the risk potential, a pulsed supplemental reaction force is generated in the accelerator pedal and an alarm sound is generated.

Abstract: A risk potential calculating device for a vehicle, comprises a state recognition device that detects vehicle conditions of a subject vehicle and a traveling environment for vehicle surroundings; and a risk potential calculator that calculates a risk potential for the vehicle surroundings based on detection results of the state recognition device. The risk potential calculator calculates the risk potential by respectively calculating a first risk potential expressing a risk in a case where driving conditions of the subject vehicle are in a steady state and a second risk potential expressing a risk for a case where driving conditions of the subject vehicle are in a transient state, and adding the first risk potential weighted by a first coefficient and the second risk potential weighted by the second coefficient.

Abstract: A driving assist system for vehicle comprises a state recognition device that detects vehicle conditions of a subject vehicle and a traveling environment for vehicle surroundings; a risk potential calculator that calculates a risk potential for vehicle surroundings based on detection results of the state recognition device; a risk change estimator that estimates change in risk felt by a driver; a correction device that corrects a calculation equation for calculating the risk potential at the risk potential calculator based on estimation results of the risk change estimator; and an operation reaction force controller that controls operation reaction force generated at a vehicle operation equipment based on the risk potential calculated using the calculation equation corrected by the correction device.

Abstract: A risk potential calculating device for a vehicle, comprises a state recognition device that detects vehicle conditions of a subject vehicle and a traveling environment for vehicle surroundings; and a risk potential calculator that calculates a risk potential for the vehicle surroundings based on detection results of the state recognition device. The risk potential calculator calculates the risk potential by respectively calculating a first risk potential expressing a risk in a case where driving conditions of the subject vehicle are in a steady state and a second risk potential expressing a risk for a case where driving conditions of the subject vehicle are in a transient state, and adding the first risk potential weighted by a first coefficient and the second risk potential weighted by the second coefficient.