Toyota Jidosha Kabushiki Kaisha

Kabushiki Kaisha Toyota Chuo Kenkyusho

Kunihiro Goto

Kiyosumi Kidono

Nobuhide Kamata

Ryo Igarashi

Masayuki Usami

Takashi Naito

Kazuhiko Kamikado

Shigeyoshi Hiratsuka

Junichi Meguro

Arata Takahashi

Daisuke Konaka

Koichiro Yamaguchi

Mitsuhiko Ota

An autonomous driving system includes a target object position recognition unit configured to recognize a target object position detected by a vehicle-mounted sensor based on map information in a map database, a vehicle position recognition unit configured to recognize a vehicle position, a relative-relationship-on-map acquisition unit configured to acquire a relative-relationship-on-map between the target object and the vehicle based on the target object position and the vehicle position on the map, a detected-relative-relationship acquisition unit configured to acquire a detected-relative-relationship between the target object detected by the sensor and the vehicle based on a result of detection performed by the sensor, a map accuracy evaluation unit configured to evaluate map accuracy of the map information based on the relative-relationship-on-map and the detected-relative-relationship, and an autonomous driving permission unit configured to permit an autonomous driving control using the map information based on the result of evaluation of the map accuracy.

Autonomous driving system

A position measurement section of an on-board device measures a position of a vehicle. A travelling position identification section identifies a travelling position of the vehicle on map data based on the measured position of the vehicle and the map data. Then, a position error measurement section computes error information indicating the difference between the measured position of the vehicle and travelling position. Then, a communications section transmits the error information and the position information to a server. A communication section of the server receives the transmitted error information and position information. An error registration section stores the error information in an error database in association with the received position information. Then, for each respective item of position information, a priority level setting section sets a priority level corresponding to the position information based on the error information stored in the error database.

Information processing device, computer readable storage medium, and map data updating system

In an object detection apparatus, a captured image of a scene around a host vehicle, information indicating a travel state of the host vehicle, and information indicating a surrounding situation around the host vehicle are obtained; risk areas in each of which an object is likely to exist, and area risk degrees of the risk areas are estimated based on the obtained information; posture risk degrees of respective postures are estimated based on a relation between each of the risk areas and the postures of the object assumed to exist in the risk area; a window image is extracted from a search range in the captured image, which corresponds to each of the risk areas, according to descending order of overall risk degrees; and it is identified whether the window image is an image showing the object, by comparing an identification model with the window image.

Object detection apparatus and storage medium storing object detection program

Growing community of inventors

Nagakute, Japan

Kunihiro Goto