Honda Motor Co., Ltd.

Yoji Sasabuchi

Hiroyuki Koike

Akihito Kimata

Katsuya Mizutani

Hiroaki Tani

Yoshitaka Mimura

Shigeru Inoue

Yuji Takagi

Satoshi Kondo

Takuya Kashiki

Yoshitaka Kijima

Hirokazu Tokushima

Shigeru Omura

A traffic safety support system includes a target traffic area recognizer configured to acquire recognition information regarding traffic participants, and the like, in a target traffic area, a predictorconfigured to predict a risk in the target traffic area on the basis of the recognition information, and a coordination support information notifierconfigured to transmit coordination support information to support targets. The predictorincludes an area risk predictorconfigured to extract a high risk area from a plurality of local areas obtained by subdividing the target traffic area on the basis of information obtained by performing statistical processing on the recognition information, and a traffic participant risk predictorconfigured to predict a risk in future of traffic participants in the high risk area on the basis of information related to the high risk area among the recognition information.

Traffic safety support system and learning method executable by the same

A collision possibility determination device includes: a detection unit which detects at least one object which moves relatively with respect to a moving body; and a determination unit which determines a collision possibility of the moving body with the object. The determination unit defines a first factor and a second factor which are spaces between the body and the object in a travelling direction and in a width direction of the body respectively. The determination unit determines the possibility based on the two factors when the object is within a farther area from the body, and the possibility based on only the first factor when the object is within a nearer area from the body.

Collision possibility determination device

A collision avoidance assist apparatus includes: an object detection part configured to detect a second moving object that crosses ahead in a travel direction of a first moving object; an estimation part configured to estimate a relationship between a future location of the first moving object and a future location of the second moving object based on a location of the detected second moving object; and a determination part configured to determine that there is a possibility that the first moving object and the second moving object will collide with each other in a case where the second moving object is capable of passing the first moving object without colliding with the first moving object based on the estimated relationship and a relationship between the first moving object and the second moving object when the second moving object passes the first moving object satisfies a predetermined condition.

Collision avoidance assist apparatus, collision avoidance assist method, and program

A system and method for providing a notification of an automated restart of vehicle movement that include determining an automated stoppage of the vehicle based on an operation of a low speed follow functionality of the vehicle. The system and method also include measuring a duration of the automated stoppage of the vehicle and determining at least one countermeasure parameter. The system and method further include providing an impulse acceleration for a duration of time during the automated restart of vehicle movement.

System and method for providing a notification of an automated restart of vehicle movement

A classification determining unit determines classification of a stationary object that is detected by a stationary object detecting unit. In a case where it is determined that the stationary object is another vehicle, a judgment condition easing unit enlarges a margin area that is used when determining the need for collision avoidance support. When the margin area is enlarged, the probability for a user's own vehicle to interfere with the margin area increases. Stated otherwise, it becomes easier for a collision avoidance determining unit to determine that the collision avoidance support is needed.

Collision avoidance support device

An object recognition device includes: a radar that detects objects in the vicinity of a vehicle a camera that detects objects by capturing an image of the vicinity of the vehicle an identical object recognition unit configured to recognize that an object detected by the radar and an object detected by the camera are the same object when the objects are present within a predetermined position range. The identical object recognition unit determines whether the objects are the same object by reducing the predetermined position range when detection using the radar device or the camera is interrupted and then detection is started again.

Object recognition device

In an object recognition apparatus or a vehicle equipped with the same, a first target area, for judging whether or not a target object is to be treated as a target of a behavior supporting action, is set as one portion of a first detection region, and a second target area, for judging whether or not the target object is to be treated as the target of the behavior supporting action, is set as one portion of a second detection region. If the position of a first peripheral object such as a radar target exists within the first target area and the position of a second peripheral object such as a camera target exists within the second target area, the target object is treated as the target of the behavior supporting action.

Object recognition apparatus and vehicle

A collision possibility determination apparatus includes: an identifying part configured to detect an object and identify a location of the object; a first analysis part configured to predict a future location of the object based on information relating to the object output from the identifying part and generate first information indicating a possibility of colliding with the object based on the predicted future location of the object; a second analysis part configured to generate second information indicating a possibility of colliding with the object based on the location of the object identified by the identifying part; and a determination part configured to determine a possibility of colliding with the object based on both of the first information and the second information.

Collision possibility determination apparatus, drive assist apparatus, collision possibility determination method, and collision possibility determination program

A railroad crossing barrier estimating apparatus and a vehicle that incorporates therein such a railroad crossing barrier estimating apparatus are provided. When at least one of an external object the transverse width of which increases over time and an external object having a given length at a certain height from the ground is detected, the vehicle or the railroad crossing barrier estimating apparatus estimates the detected external object as a railroad crossing barrier.

Railroad crossing barrier estimating apparatus and vehicle

A roadside object present at the side of a subject vehicle travel path and a preceding vehicle at a speed equal to or greater than a predetermined speed are detected based on points derived by transmitting an electromagnetic beam forward of the subject vehicle and projecting reflection points obtained onto a two-dimensional plane, a determination is made when the preceding vehicle passes near the roadside object as to whether it moved toward the travel path within a predetermined time before and after the passage, and the roadside object is not determined to be the obstacle when it is determined to have moved toward the travel path, thereby preventing the roadside object from being misidentified as the obstacle owing to erroneous recognition of it having intruded into the travel path of the subject vehicle when detecting the object using an electromagnetic beam.

Object detection apparatus for vehicle

A failure-determination apparatus is provided with: a radar device (); a camera unit (); a moving target determination unit () that determines whether or not the object detected by the radar device () is a moving target; an object extraction unit () that extracts a specific object from the image captured by the camera unit (); and a failure-determination unit () that determines that the camera unit () is in an abnormal state when the object which has been determined to be the moving target by the moving target determination device (), cannot be determined to be the specific object by the object extraction unit ().

Failure-determination apparatus

An object detection device for a vehicle includes a transmission and reception unit that transmits an electromagnetic wave and receives a reflected wave, a reflecting point computation unit that computes a position of a reflecting point of the electromagnetic wave on the object, a distance computation unit that computes a distance from the subject vehicle to the object, an end point detection unit that detects at least one of an end point on the right side of the object and an end point on the left side thereof, a shielding determination unit that determines whether the end point of the object is shielded by another object when viewed from the subject vehicle, and an end point movement speed computation unit that computes a lateral movement speed of the end point of the object determined as not being shielded.

Object detection device for vehicle and object detection method for vehicle

An object detection device for a vehicle includes a transmitting-receiving unit, a reflection point computation unit, an object width computation unit, a representative point setting unit, a lateral relative velocity computation unit, a memory unit, and a lateral relative velocity correction unit. The transmitting-receiving unit transmits an electromagnetic wave. The object width computation unit computes a width of the object. The lateral relative velocity computation unit computes a lateral relative velocity. The memory unit records the object as a width-widening static object when the object is a static object and an amount of increase in the width of the object is greater than a predetermined value, based on a detection history of the object detected at each of the predetermined cycle. The lateral relative velocity correction unit corrects the lateral relative velocity, when the object recorded as the width-widening static object is detected at a left end part or a right end part of a detection region.

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Shioya-gun, Japan

Yoji Sasabuchi