Mitsubishi Electric Corporation

Naoyuki Tsushima

Masahiro Abukawa

Shu Murayama

Michinori Yoshida

Masahiko Tanimoto

Takuya Taniguchi

Nariaki Takehara

Takefumi Hasegawa

Yoshie Imai

Yi Jing

Eisuke Yonezawa

Tatsuya Urabe

Kouichi Hiramatsu

An object recognition unit () recognizes an object existing around a moving body (). A surrounding situation estimation unit () analyzes at least any of a position and behavior of the object recognized by the object recognition unit (), and derives as a latent event, an event which is likely to surface later and is attributed to an object that the object recognition unit () has not been able to recognize to exist around the moving body ().

Information processing device, information processing method, and computer readable medium for determining a latent event

To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle behavior prediction apparatus, including: a periphery detector that detects other vehicle which exists around an own vehicle; a road shape detector that detects a road shape where the other vehicle is located; and a lane change predictor that predicts presence or absence of a lane change of the other vehicle based on a detection result of the other vehicle, and changes a determination value which is used when predicting the presence or absence of the lane change of the other vehicle, based on the road shape where the other vehicle is located.

Automatic driving apparatus and automatic driving method

A course prediction device () includes a blind spot calculation unit () and a prediction unit (). The blind spot calculation unit () acquires a sensing result sequentially from a sensor which is arranged in a mobile object and which detects whether an object exists, and calculates, based on sensor information, a blind spot area expressing such an area that an object existing therein cannot be detected by the sensor. The blind spot calculation unit () also detects an object entering the blind spot area based on the sensor information. The prediction unit () predicts a course in the blind spot area of the detected object based on the sensing result.

Course prediction device, computer readable medium, and course prediction method

A failure detection apparatus () acquires, as target data, sensor data output in a past reference period by a sensor (), such as a millimeter wave radar or LiDAR (Light Detection And Ranging), mounted on a moving body (). The failure detection apparatus () determines whether detected data indicating a characteristic of a detected object indicated by normal data, which is sensor data output when the sensor () is normal, is included in the acquired detected data in the past reference period. In this way, the failure detection apparatus () determines whether a failure has occurred in the sensor ().

Failure detection device, failure detection method, and failure detection program

A detected data acquisition unit () acquires detected data outputted during a past reference period by a sensor () mounted on a moving body (). A peripheral data acquisition unit () acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (). A failure determination unit () determines whether or not there is a failure in the sensor () based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Failure detection apparatus, failure detection method, and computer readable medium

A driving support apparatus () converts at least one of a first map () and a second map () so that the first map () and the second map () become three-dimensional maps in a same coordinate system. The first map () is a three-dimensional map indicating three-dimensional positions of objects around a vehicle (). The second map () is a three-dimensional map indicating three-dimensional positions of objects around an external apparatus () that is one of a roadside apparatus () and a different vehicle () from the vehicle (). Then, the driving support apparatus () synthesizes the first map () and the second map () after the conversion, thereby generating a composite map ().

Driving support apparatus, driving support system, driving support method, and computer readable recording medium

A driving-support-image generation device of the present invention includes: a driving-support-image memory that stores a plurality of driving-support images each indicative of a message content of a messaging object posted on a road or around a road; and an image generator that selects from among the driving-support images stored in the driving-support-image memory, one or plural driving-support images on the basis of a pre-set order of priority, and generates using the thus-selected driving-support images, an image to be displayed on a display in a vehicle.

Driving-support-image generation device, driving-support-image display device, driving-support-image display system, and driving-support-image generation program

A driver assistance system according to the present invention has an other-vehicle information acquisition unit that acquires travel direction information of an other-vehicle; a storage unit in which a spot where the visibility of a driver in a vehicle is reduced and information on a direction, associated with the spot, in which the visibility of the driver of the vehicle is reduced are stored in association with each other; a visibility determination unit that determines whether or not the visibility of a driver in the other-vehicle is reduced on the basis of the travel direction information acquired by the other-vehicle information acquisition unit and the information on the direction in which the visibility is reduced stored in the storage unit; and a warning processing unit that warns a driver of an own-vehicle that the visibility of the driver in the other-vehicle is reduced if the visibility determination unit determines that the visibility of the driver in the other-vehicle is reduced.

Driver assistance system

A driving assist apparatus includes an image acquisition part to acquire a captured image around a vehicle, a position information acquisition part to acquire position information of a first object existing around the vehicle and detected by a sensor, a detection range determination part to determine a detection range of the first object within the captured image based on the position information of the first object, and an object recognition part to perform image processing on, within the captured image, an image existing in a range other than the detection range of the first object, thereby to recognize a second object that is different from the first object. Hence, a processing time taken for recognizing the second object from the captured image can be shortened.

Driving assist apparatus, driving assist method, and non-transitory computer readable recording medium storing program

A driving-support-image generation device of the present invention comprises: a character recognizer that recognizes a character in an image indicative of a message content of a messaging object posted on a road or around a road; and an image processor that generates, based on the character recognized by the character recognizer and driving-support information related to the character, a driving-support image obtained by modifying the image of the messaging object into an image matched to the driving-support information.

A collision risk calculation device includes: a movement information obtaining unit that obtains a speed and a movement direction of an obstacle; and a risk map generator that generates a risk map indicating a range within which the obstacle can exist after one unit of time and degree of risk of collision of an own vehicle with the obstacle within the range, on a basis of the speed and the movement direction of the obstacle obtained by the movement information obtaining unit, wherein the risk map generator changes the range in left and right directions with respect to a traveling direction of the obstacle, on a basis of the speed of the obstacle in the traveling direction.

Growing community of inventors

Tokyo, Japan

Naoyuki Tsushima