Abstract: In a driving support system, a target speed profile computing unit determines a target speed on the basis of a safe-condition confirmation end point that is set to a predetermined position in a travel direction of a host vehicle. The safe-condition confirmation end point is a point at which the host vehicle passes through a section following the safe-condition confirmation end point in advance of a moving object that appears from blind areas. In this way, by determining the target speed based on the safe-condition confirmation end point, the drive support control unit is able to support driving in consideration of driving action at the time when the driver actually causes the host vehicle to pass through near the blind areas. Thus, it is possible to appropriately support driving along a feeling of the driver such that inconvenience and a feeling of strangeness are reduced.

Abstract: A resonance frequency shift amount ?f and a peak level change amount ?P are measured using a microwave resonator, V1 and V2 are obtained based on V1=(?f·??2/Kf??P·??2/Kp)/(??1·??2???1·??2), and V2=(?f·??1/Kf??P·??1/Kp)/(??1·??2???1·??2), and an absolute dry basis weight and a moisture amount are obtained based on absolute dry basis weight=?·V1, and moisture amount=?·V2. For the constants Kf, Kp, ??1, ??2, ??1 and ??2, the constants ??1, ??2, ??1 and ??2 are determined so that the variance values of Kf and Kp are smaller than a predetermined value.

Abstract: A driving assistance device includes a speed zone computation unit configured to compute a speed zone of the host vehicle having a possibility that the host vehicle will come into contact with the mobile object when progressing in the progressing direction, based on the mobile object information set by the mobile object information setting unit; a target speed computation unit configured to compute a target speed of the host vehicle based on a speed zone; and a target speed profile creation unit configured to create a target speed profile for decelerating the host vehicle from the current speed to the blind spot entry target speed, based on a blind spot entry target speed which is the target speed of the host vehicle at the time of entering a place forming the blind spot, a current speed of the host vehicle, and a target acceleration for deceleration.

Abstract: A first isolator, which is disposed in a direction where a signal is transmitted only to an antenna direction, is connected directly to a connector portion of an antenna on an oscillation side without a cable, and a second isolator 15b, which is disposed in a direction where a signal is transmitted only to a receiver direction, is connected directly to the connector portion of the antenna on a receiver side without a cable. A data processing apparatus includes a peak level detector, a resonant frequency detector, and an arithmetic part for calculating a moisture content amount and a coating amount of a coating layer of a sample based on the detection values detected by these detectors.

Abstract: A direct-injection engine combustion chamber structure including, at a top surface of a piston, an inclined surface and an orthogonal surface. The inclined surface, continuous with an inner peripheral wall surface of a cavity, extends outward in a radial direction of the piston and becomes shallower toward an outer side in a radial direction of the piston. The orthogonal surface, continuous with an outer periphery of the inclined surface, without a gap, extends to an outer peripheral surface of the piston and is orthogonal to a central axis of the piston.

Abstract: A driving assistance device includes a blind spot recognition unit that recognizes a blind spot of a driver; a mobile object information setting unit that sets mobile object information; a speed zone computation unit that computes a speed zone of the host vehicle; a brake avoidance condition computation unit that computes at least one condition of a brake avoidance condition so that the host vehicle can avoid contact with the mobile object using a brake of the host vehicle and a brake avoidance condition so that the mobile object can avoid contact with the host vehicle using a brake of the mobile object; a speed zone correction unit that corrects the speed zone, based on the brake avoidance condition computed by the brake avoidance condition computation unit; and a target speed computation unit that computes a target speed of the host vehicle based on the speed zone.

Abstract: A speed zone computation unit that computes a speed zone of a host vehicle; a target speed computation unit that computes a target speed of the host vehicle based on a speed zone; a driving assistance starting point computation unit that computes a driving assistance starting point determined by a state of the host vehicle at the time when a driving assistance is started; and a target speed modification unit that modifies a target speed, when the driving assistance starting point is within the speed zone, are included. The target speed computation unit sets a speed lower than the speed zone in the reference position as the target speed. The target speed modification unit sets a value higher than a value computed by the target speed computation unit as a new target speed, in speed in the reference position.

Abstract: A drive assist apparatus includes: a dead zone recognition unit that recognizes a dead zone not visible to a driver in an advancement direction of a host vehicle; a moving body information setting unit that sets, as information relating to a moving body that may jump out from the dead zone, moving body information including at least an assumed speed of the moving body; a speed region calculation unit that calculates, on the basis of the moving body information set by the moving body information setting unit, a speed region of the host vehicle, the speed region being a region in which the host vehicle may contact the moving body if the host vehicle advances in the advancement direction; and a target speed calculation unit that calculates a target speed of the host vehicle on the basis of the speed region.

Abstract: A vehicle surrounding monitor device 10 includes a front area millimeter-wave radar 11 to a left dead angle millimeter-wave radar 18 which monitor different areas around a host vehicle 100, a vehicle speed sensor 21 and the like which detect the traveling state of the host vehicle 100, a winker signal sensor 31 which detect the state of a driver, and an obstacle detection method determination ECU 41 which controls the operation of the front area millimeter-wave radar 11 and the like and information processing. The obstacle detection method determination ECU 41 sets priority on the front area millimeter-wave radar 11 and the like on the basis of the traveling state of the host vehicle 100 and the state of the driver detected by the vehicle speed sensor 21, the winker signal sensor 31, and the like, and controls the operation of the front area millimeter-wave radar 11 and the like and the information processing on the basis of the priority.

Abstract: A device for providing driving assistance for a driver of the vehicle to avoid the object of the risk subject when driving the vehicle, which includes: an object determination unit that detects the object; a collision prediction time calculation unit that calculates a time to collision which is a time indicating a degree to which the vehicle approaches to the object; an estimated risk level determination unit that determines an estimated risk level indicating a possibility of the object moving onto a predicted travelling path of the vehicle; and a driving assistance content determination unit that determines driving assistance content based on the collision prediction time and the estimated risk level.

Abstract: An environmental movement detection section detects the speed of a vehicle and detects a mobile object in the vicinity of the vehicle. A collision probability prediction section predicts the probability of a prospective collision between the vehicle and the detected vicinity mobile object. On the basis of approach speeds, collision probabilities and sideward passing speeds when passing other mobile objects to sideward that have been determined from standard movements, a movement standard learning section learns relationships between approach speed, collision probability and sideward passing speed. On the basis of learning results at the movement standard learning section, a path characteristic point generation section determines a standard sideward passing speed for when passing the vicinity mobile object to sideward that corresponds with the detected approach speed and the predicted collision probability. Thus, standard mobile object states may be determined efficiently.

Abstract: A vehicular peripheral surveillance device includes an obstacle recognition sensor which monitors an obstacle around a host vehicle, a lane recognition sensor and a vehicle state quantity sensor which detect the traveling state of the host vehicle, and a risk computing unit which predicts the movement of the obstacle using information acquired by the obstacle recognition sensor, and computes a risk of the obstacle to the host vehicle on the basis of the predicted movement of the obstacle. The risk computing unit changes the prediction range of the movement of the obstacle on the basis of the traveling state of the host vehicle detected by the lane recognition sensor and the vehicle state quantity sensor. Therefore, the situation of the host vehicle is predicted taking into consideration the movement of the obstacle, thereby realizing computation with high precision while reducing a computation load.

Abstract: A position, behavior state and movement state of a moving object are detected, together with plural categories of track segment region and stationary object regions, using an environment detection section. A presence probability is applied to the detected track segment regions and stationary object regions and a presence probability map is generated, using a map generation section. A moving object position distribution and movement state distribution are generated by a moving object generation section based on the detected moving object position, behavior state and movement state, and recorded on the presence probability map. The moving object position distribution is moved by a position update section based on the moving object movement state distribution. The moved position distribution is changed by a distribution change section based on the presence probabilities of the presence probability map, and a future position distribution of the moving object is predicted on the presence probability map.

Abstract: A trajectory feature point generating unit of a driving support device determines a target speed of a host vehicle when the host vehicle passes the vicinity of an obstacle, on the basis of the maximum possible lateral distance of the host vehicle from the obstacle when the host vehicle passes the vicinity of the obstacle and a map in which a lateral distance and a speed when the host vehicle passes the vicinity of the obstacle are associated with each other. Therefore, for example, the trajectory feature point generating unit can determine the target speed of the host vehicle when the host vehicle passes the vicinity of the obstacle, in the range of the maximum possible distance from the obstacle, such that the speed is equal to or less than a value corresponding to a predetermined distance. As a result, it is possible to determine a state of the host vehicle which is consistent with reality.

Abstract: Warning braking is carried out in a situation where the warning braking is needed and a crew can recognize the warning braking. If an obstacle is present ahead of the vehicle, and the driver does not carry out brake operation, and the vehicle may collide with the obstacle, the maximum target deceleration Gbt2max for the warning braking is computed. If automatic travel control is not carried out or if automatic travel control is being carried out and its target deceleration Gbt4 is less than a reference value Gbt4s smaller than the maximum target deceleration Gbt2max, the warning braking is carried out. When the target deceleration Gbt4 for the automatic travel control is larger than the allowable reference value Gbt4s for warning braking, the warning braking is not carried out.

Abstract: A resonance frequency shift amount ?f and a peak level change amount ?P are measured using a microwave resonator, V1 and V2 are obtained based on V1=(?f·??2/Kf??P·??2/Kp)/(??1·??2???1·??2), and V2=(?f·??1/Kf??P·??1/Kp)/(??1·??2???1·??2), and an absolute dry basis weight and a moisture amount are obtained based on absolute dry basis weight=?·V1, and moisture amount=?·V2. For the constants Kf, Kp, c?1, ??2, ??1 and ??2, the constants ??1, ??2, ??1 and ??2 are determined so that the variance values of Kf and Kp are smaller than a predetermined value.

Abstract: A device for providing driving assistance for a driver of the vehicle to avoid the object of the risk subject when driving the vehicle, which includes: an object determination unit that detects the object; a collision prediction time calculation unit that calculates a time to collision which is a time indicating a degree to which the vehicle approaches to the object; an estimated risk level determination unit that determines an estimated risk level indicating a possibility of the object moving onto a predicted travelling path of the vehicle; and a driving assistance content determination unit that determines driving assistance content based on the collision prediction time and the estimated risk level.

Abstract: A risk degree estimation device of a driving assistance device calculates the potential risk degree at a plurality of intersection points in a mesh set around a host vehicle. The risk degree estimation device changes the amount of information relating to the potential risk degree calculated for the entire region of the mesh in which the intersection points are set in accordance with at least one of the environment and state of the host vehicle. For this reason, it becomes possible to calculate the potential risk degree around the host vehicle depending on the situation.

Abstract: A vehicular peripheral surveillance device includes an obstacle recognition sensor 12 which monitors an obstacle around a host vehicle 100, a lane recognition sensor 11 and a vehicle state quantity sensor 13 which detect the traveling state of the host vehicle 100, and a risk computing unit 20 which predicts the movement of the obstacle using information acquired by the obstacle recognition sensor 12, and computes a risk of the obstacle to the host vehicle 100 on the basis of the predicted movement of the obstacle. The risk computing unit 20 changes the prediction range of the movement of the obstacle on the basis of the traveling state of the host vehicle 100 detected by the lane recognition sensor 11 and the vehicle state quantity sensor 13. Therefore, the situation of the host vehicle 100 is predicted taking into consideration the movement of the obstacle, thereby realizing computation with high precision while reducing a computation load.

Abstract: A vehicle surrounding monitor device 10 includes a front area millimeter-wave radar 11 to a left dead angle millimeter-wave radar 18 which monitor different areas around a host vehicle 100, a vehicle speed sensor 21 and the like which detect the traveling state of the host vehicle 100, a winker signal sensor 31 which detect the state of a driver, and an obstacle detection method determination ECU 41 which controls the operation of the front area millimeter-wave radar 11 and the like and information processing. The obstacle detection method determination ECU 41 sets priority on the front area millimeter-wave radar 11 and the like on the basis of the traveling state of the host vehicle 100 and the state of the driver detected by the vehicle speed sensor 21, the winker signal sensor 31, and the like, and controls the operation of the front area millimeter-wave radar 11 and the like and the information processing on the basis of the priority.