Abstract: A common electrode driver includes an inverting amplifier including a first resistor, a second resistor, and an operational amplifier, and a resistance ratio adjustment circuit that adjusts, in accordance with a length of one horizontal scan period, a resistance ratio being a ratio of a resistance value of the second resistor to a resistance value of the first resistor. A feedback voltage is provided to one end of the first resistor. The resistance ratio adjustment circuit sets the resistance ratio when second driving is performed, in which a length of one horizontal scan period is a second time longer than a first time, to be smaller than the resistance ratio when first driving is performed, in which a length of one horizontal scan period is the first time.

Abstract: A vehicle control method as executed includes acquiring surrounding information of the subject vehicle by a sensor includes, specifying an entry position located on a second lane adjacent to a first lane where the subject vehicle travels in accordance with the surrounding information of the subject vehicle, specifying a front vehicle located front the entry position and a rear vehicle located rear the entry position, determining the travel state of each of the front vehicle and the rear vehicle, determining whether there is a space for the subject vehicle to enter at the entry position, predicting whether the front vehicle starts to travel when the front vehicle and the rear vehicle are determined to be stopped and no space is determined at the entry position, and starting to move the subject vehicle to the entry position when the front vehicle is predicted to start traveling.

Abstract: A vehicle control method executed by a processor capable of making a subject vehicle change a lane includes: acquiring surrounding information of the subject vehicle by a sensor provided in the subject vehicle; determining whether a distractive factor for a driver of another vehicle is present when the subject vehicle enters the front of the other vehicle traveling on the second lane for changing lanes from a first lane to a second lane adjacent to the first lane; setting a lane change time required for the subject vehicle to change lanes longer than when determining none of the distractive factor to be present when determining distractive the factor to be present; and controlling a traveling position of the subject vehicle on the first lane within the lane change time.

Abstract: A vehicle control method for executing a lane change of a subject vehicle includes acquiring surrounding information of the subject vehicle; specifying an entry position indicating a position of an entry destination of the subject vehicle, the entry position being located on a second lane adjacent to a first lane in which the subject vehicle is traveling; when operating a blinker, decelerating the subject vehicle, and executing a lane change; determining that there is a following vehicle which follows the subject vehicle in a predetermined area located behind the subject vehicle on a first lane; setting a preparation time longer than the preparation time when determining that there is not the following vehicle, the preparation time indicating a time from operating the blinker to decelerating the subject vehicle and starting the lane change; and controlling a travel position of the subject vehicle on the first lane within the preparation time.

Abstract: A vehicle control method executed by a processor capable of making a subject vehicle change a lane includes: acquiring surrounding information of the subject vehicle by a sensor provided in the subject vehicle; determining whether a distractive factor for a driver of another vehicle is present when the subject vehicle enters the front of the other vehicle traveling on the second lane for changing lanes from a first lane to a second lane adjacent to the first lane; setting a lane change time required for the subject vehicle to change lanes longer than when determining none of the distractive factor to be present when determining distractive the factor to be present; and controlling a traveling position of the subject vehicle on the first lane within the lane change time.

Abstract: A vehicle control method as executed includes acquiring surrounding information of the subject vehicle by a sensor includes, specifying an entry position located on a second lane adjacent to a first lane where the subject vehicle travels in accordance with the surrounding information of the subject vehicle, specifying a front vehicle located front the entry position and a rear vehicle located rear the entry position, determining the travel state of each of the front vehicle and the rear vehicle, determining whether there is a space for the subject vehicle to enter at the entry position, predicting whether the front vehicle starts to travel when the front vehicle and the rear vehicle are determined to be stopped and no space is determined at the entry position, and starting to move the subject vehicle to the entry position when the front vehicle is predicted to start traveling.

Abstract: A vehicle control method for executing a lane change of a subject vehicle includes acquiring surrounding information of the subject vehicle; specifying an entry position indicating a position of an entry destination of the subject vehicle, the entry position being located on a second lane adjacent to a first lane in which the subject vehicle is traveling; when operating a blinker, decelerating the subject vehicle, and executing a lane change; determining that there is a following vehicle which follows the subject vehicle in a predetermined area located behind the subject vehicle on a first lane; setting a preparation time longer than the preparation time when determining that there is not the following vehicle, the preparation time indicating a time from operating the blinker to decelerating the subject vehicle and starting the lane change; and controlling a travel position of the subject vehicle on the first lane within the preparation time.

Abstract: In a road type determination apparatus, an image information acquiring unit acquires image information in which an image of a travel road on which a vehicle is traveling is captured. A scene determining unit determines a traveling scene of the travel road based on the image information. An ordinary road likelihood calculating unit calculates an ordinary road likelihood that indicates that a type of the travel road of the vehicle is an ordinary road based on the traveling scene. A limited-access road likelihood calculating unit calculates a limited-access road likelihood that indicates that the type of the travel road of the vehicle is a limited-access road based on the traveling scene. A type determining unit determines the type of the travel road of the vehicle based on the ordinary road likelihood and the limited-access road likelihood.

Abstract: An information presenting device is mounted in an autonomous vehicle in which an action candidate for the vehicle to take is settable based on selection from presented selection information made by an occupant. The information presenting device sets the action candidate for the autonomous vehicle to take, calculates a selection margin time from a current time point to a time point at which the occupant should complete the selection from the selection information, sets the selection information based on the action candidate depending on the selection margin time, and presents the set selection information to the occupant.

Abstract: An information presenting device is mounted in an autonomous vehicle in which an action candidate for the vehicle to take is settable based on selection from presented selection information made by an occupant. The information presenting device sets the action candidate for the autonomous vehicle to take, calculates a selection margin time from a current time point to a time point at which the occupant should complete the selection from the selection information, sets the selection information based on the action candidate depending on the selection margin time, and presents the set selection information to the occupant.

Abstract: The driving assistance unit acquires distribution data (a steering angle prediction error) for the traveling state distributions (a first traveling state distribution, a second traveling state distribution). Next the driving assistance unit converts value of the distribution data (a steering angle prediction error) into their absolute values. Next, the driving assistance unit classify the absolute value of the distribution data (a steering angle prediction error) in different time ranges into bins as plural segmented data ranges, based on the distribution data (a steering angle prediction error) whose values are converted into their absolute values and calculates a frequency distributions of the distribution data (a steering angle prediction error) as plural traveling state distributions (the first traveling state distribution, the second traveling state distribution).

Abstract: When a travel path is to be generated for a vehicle, road surface lines (white lines, etc.) delimiting the traffic lane of the vehicle, and also external objects in the vehicle environment, are detected and registered as respective obstacles. Specific points are defined at appropriate locations on each obstacle, and the travel path is generated by connecting respective mid-point positions between opposed pairs of specific points, each pair defined on respective ones of an opposed (left-side, right-side) pair of the registered obstacles.

Abstract: A first driving instability determining unit estimates driving instability based on a difference value between plural traveling state distributions of different time ranges on the basis of the traveling state data. A second driving instability determining unit estimates driving instability by a process different from the process used in the first driving instability determining unit. A learning completion determining unit determines that the learning is completed when a predetermined learning time elapses from the start of collection of the traveling state data, depending on a degree of learning at which the traveling state distribution calculated by a first traveling state distribution calculating unit is matched with the driving characteristic of a driver.

Abstract: A selection track setting section in a driving route generation device determines as a selected track a track of a preceding vehicle when a detection section and a track generation section detects a track of the preceding vehicle which is running on the same driving lane of a host vehicle. A candidate track selection section outputs as a candidate track one of tracks of front vehicles, detected by the detection section and the track generation section, other than the track of the preceding vehicle. A switching selection section switches as the selected track from the track of the preceding vehicle to the candidate track when a detection of the track of the preceding vehicle is interrupted during a predetermined detection period. An estimate route generation section generates an estimated driving route of the host vehicle on the bass of the selected track.

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: The driving assistance unit acquires distribution data (a steering angle prediction error) for the traveling state distributions (a first traveling state distribution, a second traveling state distribution). Next the driving assistance unit converts value of the distribution data (a steering angle prediction error) into their absolute values. Next, the driving assistance unit classify the absolute value of the distribution data (a steering angle prediction error) in different time ranges into bins as plural segmented data ranges, based on the distribution data (a steering angle prediction error) whose values are converted into their absolute values and calculates a frequency distributions of the distribution data (a steering angle prediction error) as plural traveling state distributions (the first traveling state distribution, the second traveling state distribution).

Abstract: A first driving instability determining unit estimates driving instability based on a difference value between plural traveling state distributions of different time ranges on the basis of the traveling state data. A second driving instability determining unit estimates driving instability by a process different from the process used in the first driving instability determining unit. A learning completion determining unit determines that the learning is completed when a predetermined learning time elapses from the start of collection of the traveling state data, depending on a degree of learning at which the traveling state distribution calculated by a first traveling state distribution calculating unit is matched with the driving characteristic of a driver.

Abstract: A first driving instability determining unit estimates driving instability based on a difference value between plural traveling state distributions of different time ranges on the basis of the traveling state data. A second driving instability determining unit estimates driving instability by a process different from the process used in the first driving instability determining unit. A learning completion determining unit determines that the learning is completed when a predetermined learning time elapses from the start of collection of the traveling state data, depending on a degree of learning at which the traveling state distribution calculated by a first traveling state distribution calculating unit is matched with the driving characteristic of a driver.

Abstract: A driving assistance system for vehicle detects short-duration data representing a current traveling condition and drive operation, and intermediate-duration data representing a travelling condition and drive operation of this day. Drive diagnosis is carried out by comparing distribution of the short-duration data and distribution of the intermediate-duration data.

Abstract: In a vehicle travel assisting device, a vehicle speed, a yaw rate, a traveling lane of an own vehicle, and a position of a leading vehicle are detected. Target travel coordinates of the own vehicle are calculated, based on the traveling lane and the position of the leading vehicle A travel path curvature of a target travel coordinate group is estimated, based on information related to the target travel coordinate group. A steering quantity to be steered in advance by the own vehicle is calculated, based on the currently estimated travel path curvature. A weight for each of the target travel coordinates for estimating the travel path curvature is adjusted based on the vehicle speed, the yaw rate and the previously estimated travel path curvature. Steering control is performed such that the own vehicle travels so as to follow the estimated travel path curvature, based on the calculated steering quantity.