Honda Motor Co., Ltd.

Honda Research Institute Europe Gmbh

Akihito Kimata

Yoshitaka Mimura

Shigeru Inoue

Yuji Takagi

Masaki Okumoto

Takahiro Kurehashi

Akio Takahashi

Hideo Kadowaki

Kazufumi Suzuki

Tim Puphal

Dotan Knaan

Ryohei Hirano

Norio Ichihashi

Dana Shavit

Adi Shavit

Yoji Sasabuchi

Hiroyuki Koike

Hiroaki Tani

Hirokazu Tokushima

Jeremy Yermiyahu Kaminski

Junta Ochiai

A traffic safety support systemincludes mobile terminals that move with traffic participants in a target traffic area, and a coordination support devicecapable of communicating with the mobile terminals. Each of the mobile terminals includes a notification device configured to make a risk notification in a hinting notification mode or in an analogue notification mode. The coordination support device includes a target area recognizerconfigured to recognize recognition targets including the traffic participants and traffic environments and acquire recognition information, a predictorconfigured to predict a risk in future of prediction targets that are a plurality of traffic participants in a monitoring area that is part of the target traffic area, and a risk notification specifierconfigured to set an operation manner of risk notification for each of support targets on the basis of the recognition information and a prediction result.

Traffic safety support system

An automated driving vehicleincludes: an external information acquisition device configured to acquire external information regarding a state of surroundings of the automated driving vehicle as a vehicle of interest; an on-board communication device configured to receive a risk area notification regarding a high-risk area in a target traffic area; an action plan formulation device configured to formulate an action plan for the vehicle of interest such that a behavior of the vehicle of interest is prevented from exceeding a predetermined behavior allowable range; and a travel control device configured to operate a travel actuator based on the action plan to cause the vehicle of interest to automatically travel. In a case where the vehicle of interest is moving within the high-risk area, the action plan formulation device sets the behavior allowable range to a range associated with the risk area notification.

Automated driving vehicle and traffic safety support system

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

Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body will approach a host vehicle from the front or the rear. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle is present outside an analogue notification actuation range and acts as an oncoming mobile body or acts as a following mobile body, and the risk notification setting unit sets the notification mode to an analogue notification mode in a case where the motorcycle is present within the analogue notification actuation range.

A predictorof a traffic safety support system includes a movement state information acquirerconfigured to acquire movement state information of the prediction target, a surrounding state information acquirerconfigured to acquire surrounding state information, a first movement state predictorconfigured to predict a first predicted movement state on the basis of the movement state information, a second movement state predictorconfigured to predict a second predicted movement state on the basis of the driver state information, a collision risk calculatorconfigured to calculate a first collision risk value for the first predicted movement state and a second collision risk value for the second predicted movement state, and a support controllerconfigured to execute support control for the prediction target in a case where at least one of the first and second collision risk values is greater than a predetermined threshold value.

Traffic safety support system and storage medium

Provided is a traffic safety support system capable of improving traffic safety in a situation in which a mobile body has merged onto a road on which a mobile vehicle as a host vehicle is traveling and is approaching the host vehicle. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle acts as an oncoming vehicle and a first travel path of a four-wheeled automobile and a second travel path of the motorcycle join, and sets the notification mode to an analogue notification mode in a case where the motorcycle is present within an analogue notification actuation range.

Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body other than a host vehicle is shielded by a nearby vehicle present near the mobile body. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle acts as an oncoming mobile body, and where a four-wheeled automobile is present near the motorcycle and is approaching a four-wheeled automobile from the front in the traveling direction of the four-wheeled automobile, and sets the notification mode to an analogue notification mode in a case where the motorcycle is present within an analogue notification range.

Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body will not obey a signal displayed by a traffic light. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a four-wheeled automobile acts as an oncoming mobile body and at least one of the four-wheeled automobile or a motorcycle is approaching a traffic light, and sets the notification mode to an analogue notification mode in a case where the four-wheeled automobile is present within an analogue notification actuation range.

A predictorpredicts a future of a prediction target in a monitoring area. The predictorincludes a movement state information acquirerconfigured to acquire movement state information, a surrounding state information acquirerconfigured to acquire surrounding state information regarding movement states of traffic participants around the prediction target, a confirmation state information acquirerconfigured to acquire confirmation state information regarding a surrounding confirmation state of a driver of the prediction target, a moving speed predictorconfigured to predict a future moving speed of the prediction target on a basis of the movement state information, the surrounding state information, and the confirmation state information, and a collision predictorconfigured to predict whether or not a collision will occur in a future of the prediction target on the basis of the movement state information, the surrounding state information, and the future moving speed.

Moving body prediction device, traffic safety support system, and storage medium

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 sight line vector detecting method includes: emitting LED light beams from LED light sources arranged on both sides of a camera to an eye; photographing the eye by the camera; acquiring a plane which includes one light source position of the LED light sources, a lens center position of the camera, and a spatial position on a photographed image as to one luminescent spot on a cornea spherical surface, and another plane which includes the other light source position, the lens center position of the camera, and a spatial position on the photographed image as to the other luminescent spot on the cornea spherical surface; acquiring a line of intersection between the two planes; acquiring a center of a cornea ball which is on the intersection line and satisfies a predetermined condition; and acquiring a center of a pupil.

Method and apparatus for detecting sight line vector

In a sight line vector detecting system comprising: an infrared light source for illuminating either an eye or a face; a camera for photographing either the eye or the face; and a computer for processing photographed image data of said camera so as to calculate a sight line vector, the computer includes an image processing unit for detecting the true luminance point and the center of the pupil from the photographed image data; and a calculating unit for calculating the sight line vector; and the image processing unit performs such a processing operation that the image processing unit determines a luminance point capable of satisfying a predetermined requirement as the true luminance point among luminance points having the pupils at near places, calculates a center of the pupils, and further, calculates a center of a cornea ball.

Sight line detecting method

A line of sight detection apparatus includes: a line of sight detection device which detects the line of sight of an occupant; an operation detection device which detects the operation of on-board equipment by the occupant; and a calibration device which calibrates a detection value of the line of sight detection device based on the operation of the on-board equipment by the occupant which is detected by the operation detection device and position data of the on-board equipment.

Line of sight detection apparatus

A line-of-sight detection method in an imaging system which includes a camera for photographing a face and right and left eyes and a light source for irradiating the right and left eyes with infrared rays, said line-of-sight detection method comprising:

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Wako, Japan

Akihito Kimata