Toyota Jidosha Kabushiki Kaisha

Nec Corporation

Toyota Motor Europe

Meijo University

K.u. Leuven Research & Development

Eidgenoessische Technische Hochschule Zurich

Katholieke Universiteit Leuven

Cambridge Enterprise Limited

Cambridge University Technical Services Limited

Eidgenossische Technische Hochschule Zurich

Swiss Federal Institute of Technology Zurich

Toyota Motor Europe Nv/sa

Ryuji Funayama

Jun Sato

Shinya Kawamata

Yasuo Sakaguchi

Toshiki Kindo

Ayako Shimizu

Sho Otaki

Luc Van Gool

Tsutomu Ishi

Kenichi Kitahama

Hiromichi Yanagihara

Yumiko Yoshikawa

Masato Endo

Akira Ogawa

Takeshi Matsumura

Yuichi Kumai

Masahiro Ogawa

Tsukasa Shimizu

Yasuhiro Yoshida

Yuma Kawamori

Hiroki Mori

Kensaku Asahi

Hideki Banno

Keiichi Yamada

Yasukata Yokochi

Osami Yamamoto

Roberto Cipolla

Hojung Jung

Takayuki Iwamoto

Yuichi Tanaka

Hiroyuki Hoshino

Tinne Tuytelaars

Herbert Bay

Hisashi Satonaka

Gabriel J Brostow

Hideo Fukamachi

Kenji Sasaki

Tomoya Takatani

Tadaaki Sakamoto

Julien Fauqueur

George Vogiatzis

Masamichi Osugi

Konrad Schindler

Shin Satori

Yoshihide Aoyanagi

Tadayoshi Komatsuda

Akio Fukamachi

Rodrigo Benenson

Markus Mathias

Tomoaki Handa

Radu Timofte

Paolo Favaro

Andreas Ess

Bastian Leibe

Mun-Ho Jeong

Nima Razavi

Juergen Gall

A host vehicle position estimation device includes a object database configured to store information on detected objects in which a position of each of the objects on the map and an object-detectable area are associated with each other, a measurement position acquisition unit configured to acquire a measurement position which is the position of the host vehicle on the map, measured by a vehicle-mounted measurement unit, a candidate object recognition unit configured to recognize a candidate object which is associated with the object-detectable area including the measurement position among the objects, based on the object-detectable area in the information on the detected objects and the measurement position, and a host vehicle position estimation unit configured to estimate a host vehicle position based on a position of the candidate object on the map and a result of detection performed by the vehicle-mounted sensor.

Host vehicle position estimation device

A vehicle control device includes a traveling environment classification database configured to record traveling environment classification data in which at least one past traveling plan for autonomous driving and a traveling result of the past traveling plan are associated with each other for each preset traveling environment classification, a traveling environment classification determination unit configured to determine whether or not the traveling environment classification corresponding to a traveling environment of a host vehicle is present in the traveling environment classification database when the host vehicle travels in a map non-correspondence region during the autonomous driving, and a traveling plan generation unit configured to generate a mapless traveling plan as a traveling plan of the host vehicle in the map non-correspondence region when the traveling environment classification corresponding to the traveling environment of the host vehicle is present in the traveling environment classification database.

Vehicle control device

A device includes: a reference confidence degree calculation unit configured to calculate a reference confidence degree in estimating the position of the host vehicle at a candidate passing position of the host vehicle set in advance based on the position information on the object on the map; a shield information acquisition unit configured to acquire shield information based on a result of detection; a shielding influence degree calculation unit configured to calculate a shielding influence degree in estimating the position of the host vehicle at the candidate passing position based on the shield information; and a confidence degree calculation unit configured to calculate a confidence degree in estimating the position of the host vehicle at the candidate passing position based on the reference confidence degree and the shielding influence degree.

Host vehicle position confidence degree calculation device

An autonomous driving control system for a vehicle which is able to switch between manual driving and autonomous driving is provided with a driver condition sensor, acting part, and electronic control unit. The electronic control unit is provided with an autonomous driving control part, reliance calculating part for calculating an autonomous driving output reliance, vigilance calculating part for calculating a driver vigilance, and an action control part for controlling a strength of an action against a driver. In a region in which an operating point determined by the autonomous driving output reliance and driver vigilance can fall, a plurality of sub regions are defined by boundary lines extending so that the driver vigilance becomes higher as the autonomous driving output reliance becomes lower. The action control part controls the strength of the action against the driver to differ in accordance with the sub region in which the operating point falls.

Autonomous driving control system for vehicle

A system for presenting information to an occupant of a vehicle mounted with an autonomous driving system, includes: a display unit configured to display the information; a display control unit configured to cause the display unit to display information in any one of display modes among a setting status display mode in which setting information is displayed, an operation status display mode in which travel information is displayed, and a recognition status display mode in which recognition result information of the autonomous driving system is displayed; and an acquisition unit configured to acquire an occupant's display mode switching instruction for switching the display mode, wherein the display control unit configured to switch the display mode of the display unit when the acquisition unit acquires the occupant's display mode switching instruction.

Information presentation system

According to the present invention, a pedestrian is detected from an imaged image and a partial image including the pedestrian is extracted, shape information of the pedestrian acquired from the extracted partial image is accumulated and the shape information of a predetermined time before and the current shape information are compared using the accumulated shape information to detect change in the movement of the pedestrian, discontinuous movement estimating information indicating a discontinuous movement of the pedestrian that occurs following the change in the movement of the pedestrian is acquired from a storage means at the time the change in the movement of the pedestrian is detected, and a behavior of the pedestrian is predicted using the acquired discontinuous movement estimating information.

Pedestrian behavior predicting device and pedestrian behavior predicting method

A discriminator generation deviceincludes a feature quantity extraction unitwhich, using at least two pattern groups having patterns of different sizes for a detection object, extracts a feature quantity of patterns configuring each pattern group, and a discriminator generation unitwhich generates a discriminator for detecting a detection object of a size corresponding to each pattern group in an image based on the feature quantity of the patterns of each pattern group.

Discrimination container generation device and pattern detection device

A sound collecting unit () mounted on a vehicle is configured to collect sounds, a frequency resolution unit () is configured to perform frequency analysis on the collected sound information, and when an object around the vehicle is detected based on a frequency characteristic of the sound information, a traveling sound detecting unit () is configured to perform object detection such that object detection using a predetermined frequency band when a sound pressure of the predetermined frequency band is high in a frequency characteristic of a sound reproduced from a reproduction unit () mounted on the vehicle is more suppressed than object detection using a predetermined frequency band when a sound pressure of the predetermined frequency band is low in the frequency characteristic of the sound reproduced from a reproduction unit ().

Object detection device and object detection method

Disclosed is a sound source detection devicewhich compares information of sound collected by sound collectors, andto detect a predetermined sound source. The sound source detection deviceincludes a target determination unitwhich arranges sound collectors at the same distance from a noise source inside a mobile object to determine a detection-target region of a sound source, and a sound source detection unitwhich detects the direction of the predetermined sound source using information of sound of the detection-target region determined by the target determination unit. Accordingly, the sound source detection unitdoes not determine sound input to the sound collectors, andat the same timing as a detection target, making it possible to eliminate the influence of a noise source other than a sound source inside the mobile object in advance.

Sound source detection device

A learning unit generates a function table indicating the relationship between the class number and position information of an object and the probability of appearance of the object for each small area image pattern of a code book, calculates a sharing matrix indicating the commonality of a feature amount between the classes, makes a tree diagram in which the classes with a similar feature amount are clustered, and calculates the weight of each node in the tree diagram for each small area image pattern. The recognition processing unit compares image data captured by a camera with the code book, selects the closest small area image pattern, extracts the class related to the node with the smallest weight among the nodes with a weight equal to or greater than a threshold value, and votes the position information of the small area image pattern for the class, thereby recognizing the object.

Object recognition device

A subject is to provide a pedestrian motion predicting device capable of accurately predicting a possibility of a rush out before a pedestrian actually begins to rush out. According to the embodiments, the pedestrian is detected from input image data, a portion in which the detected pedestrian is imaged is cut out from the image data, a shape of the pedestrian imaged in the cut-out partial image data is classified by collating the shape with a learning-finished identifier group or a pedestrian recognition template group, and the rush out of the pedestrian is predicted based on a result of the acquired classification.

Pedestrian motion predicting device

Growing community of inventors

Yokohama, Japan

Ryuji Funayama