Toyota Jidosha Kabushiki Kaisha

Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Research Institute, Inc.

Nobuhide Kamata

Masahiro Harada

Yoshinori Watanabe

Kazuyuki Fujita

Takayuki Goto

Taichi Kawanai

Yusuke Hayashi

Katsuhiro Sakai

Shunsuke Tanimori

Nozomu Hatta

Yasuo Uehara

Eiji Sakaguchi

Yasuhiro Takagi

Keisuke Hokai

Kazuhiko Kamikado

Bunyo Okumura

Hideyuki Matsui

Hideo Fukamachi

Naoki Nagasaka

Koji Taguchi

Xue Mei

Masaki Wasekura

Yasunao Yoshizaki

Danil V Prokhorov

Tomoyuki Kuriyama

Ryo Igarashi

Michael R James

Kunihito Sato

Atsushi Kodama

Michael James Delp

Takayuki Iwamoto

Takahiro Yokota

Yasuhiro Kobatake

Daichi Hotta

Hiroki Fukuda

Shin Tanaka

Tsukasa Shimizu

Takashi Naito

Atsushi Sone

Yuki Okamoto

Hayato Ito

Kiyosumi Kidono

Kunihiro Goto

Ryosuke Fukatani

Kosuke Futagami

Yosuke Hirate

Sho Amagai

A vehicle control apparatus for performing autonomous driving of a host vehicle. The vehicle control apparatus includes an operating section information acquisition unit configured to acquire operating section information that is information of an operating section in which vehicle stability control by brake control has been operated in a vehicle in autonomous driving in the past; an operation plan generation unit configured to generate an operation plan of autonomous driving of the host vehicle based on a preset target route and map information; and a vehicle controller configured to perform autonomous driving along the operation plan, wherein the operation plan generation unit generates the operation plan so that the host vehicle does not stop in the operating section.

Vehicle control apparatus

A method for inspecting a road surface condition includes the steps of obtaining detailed information on a road surface condition set for each inspection point based on a traveling record of a vehicle, and information on an own position of the vehicle, generating an inspection execution plan of the vehicle in the inspection point when the inspection point is included in a predetermined range in an advancing direction of the vehicle with the own position as a reference, performing evaluation of a road surface condition in the inspection point based on a traveling condition of the vehicle that is obtained during the inspection execution plan, and updating the detailed information on a road surface condition set for the inspection point based on latest information on the road surface condition the evaluation of which is performed.

Method for inspecting road surface condition, road surface condition inspection device, and road surface condition inspection system

A vehicle control system for an autonomous vehicle includes: a first control device configured to generate a first driving plan including desired lateral lane driving positions or desired lateral lane driving position ranges; a plurality of first sensors configured to obtain information on motion of the vehicle and information on surroundings of the vehicle; and a second control device configured to communicate with the first control device, generate, based on the first driving plan obtained from the first control device and the information obtained by the first sensors, a second driving plan different from the first driving plan, the second driving plan including target lateral lane driving positions or target lateral lane driving position ranges, and control driving operation of the vehicle based on the second driving plan.

Vehicle control system and vehicle control device for autonomous vehicle

A vehicle travel control device executes vehicle travel control such that a vehicle follows a target trajectory. An automated driving control device generates a first target trajectory that is the target trajectory for automated driving of the vehicle. The vehicle travel control device further determines whether or not an activation condition of travel assist control is satisfied. When the activation condition is satisfied, the vehicle travel control device generates a second target trajectory that is the target trajectory for the travel assist control. Even when the second target trajectory is generated during the automated driving, or when the second target trajectory is generated during the automated driving and a priority condition for giving priority to the first target trajectory is satisfied, the vehicle travel control device executes the vehicle travel control by giving more weight to the first target trajectory than to the second target trajectory.

Vehicle control system

A vehicle control system generates at least one primary candidate of a target trajectory for an automated driving of a vehicle and executes a primary evaluation. An evaluation index of the primary evaluation includes a travel safety level of a travel to follow the primary candidate. The primary candidate having highest travel safety level is selected as at least one strong candidate of the target trajectory. If only one is selected as the strong candidate, the vehicle control system determines the selected strong candidate as a finalist candidate of the target trajectory. If two or more strong candidates are selected, the vehicle control system executes a secondary evaluation for the strong candidates to determine the finalist candidate. An additional evaluation index is used in the secondary evaluation.

An autonomous driving vehicle provides a driverless transportation service for a user. An alarming phenomenon is a natural phenomenon that potentially causes a disaster. The autonomous driving vehicle recognizes, based on driving environment information, the alarming phenomenon at a current location of the autonomous driving vehicle or on a planned travel route from the current location to a destination. When recognizing the alarming phenomenon, the autonomous driving vehicle determines whether to continue or halt vehicle travel control in accordance with a current travel plan. When determining to halt the vehicle travel control in accordance with the current travel plan, the autonomous driving vehicle sets an emergency plan depending on a type of the alarming phenomenon and controls the autonomous driving vehicle in accordance with the emergency plan.

Autonomous driving vehicle that avoids natural disasters

A travel control device is configured to make an autonomous driving vehicle travel in such a way that the autonomous driving vehicle arrives at a specified position specified by a user who intends to board the autonomous driving vehicle, when the autonomous driving vehicle has reached a predetermined range from the specified position, transmit an information sending request notifying the user terminal that the autonomous driving vehicle has reached a vicinity of the specified position and requesting sending of position identifying information for identifying a position at which the user intends to board the autonomous driving vehicle to the user terminal via a communication circuit, and when receiving the position identifying information via the communication circuit, change a position of the autonomous driving vehicle, based on the position identifying information in such a way that the autonomous driving vehicle comes close to the user.

Travel control device and travel control method

An assistance control system performs assistance control for causing a moving object to move to a destination based on map information. The assistance control system includes an electronic control unit. The electronic control unit is configured to generate or update the map information based on input from a sensor mounted on the moving object, acquire a plurality of route candidates to the destination, evaluate certainty of the map information for each location or each section, and calculate a map information evaluation value, evaluate accuracy of the assistance control in the acquired route candidates based on the calculated map information evaluation value, and present a route candidate having the highest priority among the route candidates to an occupant of the moving object, or control the moving object along the route candidate having the highest priority.

Assistance control system that prioritizes route candidates based on unsuitable sections thereof

A vehicle control device includes a tracking unit estimating a motion of a moving object, a model selection unit selecting a motion model corresponding to a moving object type, an abnormality determination unit determining a presence or absence of an abnormality of the estimation of the motion of the moving object based on the estimated moving object motion and the motion indicated by the motion model, and a control unit. A control mode in which the control unit controls traveling of a host vehicle when the abnormality determination unit determines that the abnormality is present differs from a control mode in which the control unit controls the traveling of the host vehicle when the abnormality determination unit determines that the abnormality is absent.

Target abnormality determination device

A map information system includes a map database including map information; and a driving assist level determination device. The map information is associated with an evaluation value indicating a certainty of the map information for each location in an absolute coordinate system. Information indicating that the intervention operation is performed is included in driving environment information indicating a driving environment of a vehicle. The driving assist level determination device is configured to acquire, based on the driving environment information, intervention operation information indicating an intervention operation location where the intervention operation is performed, acquire, based on the map information, the evaluation value for each point or section in a target range, and determine, based on the evaluation value and the intervention operation location, an allowable level for each point or section within the target range.

Map information system

An autonomous driving system that performs a traveling of an autonomous driving vehicle based on a remote instruction by a remote commander includes: a vehicle position acquisition unit configured to acquire a position of the autonomous driving vehicle on the map; an external environment recognition unit configured to recognize an external environment of the autonomous driving vehicle; a remote instruction location situation recognition unit configured to recognize a remote instruction location situation on a target route of the autonomous driving vehicle set in advance based on the target route, the position of the autonomous driving vehicle on the map, and map information; and a remote instruction request determination unit configured to determine whether or not to request the remote commander for the remote instruction with regard to the remote instruction location situation, based on the external environment of the autonomous driving vehicle.

Autonomous driving system

A vehicle control system generates a first target trajectory, which is a target trajectory for an automated driving of a vehicle, and executes vehicle travel control based on the first target trajectory. The vehicle control system generates a second target trajectory which is a target trajectory which does not conflict with a restrict condition, when the travel based on the first target trajectory conflicts with a safety restrict condition, and executes travel assist control by using the second target trajectory. The vehicle control system judges whether or not a resurgence condition is satisfied by using the first target trajectory that is generated during the execution of the travel assist control. If it is judged that the resurgence condition is satisfied, the vehicle control system returns to the execution of the vehicle travel control from that of the travel assist control.

A map information system includes a database management device configured to manage a map database used for vehicle driving support control. The map database includes road marking map information that indicates a position of a specific road marking including at least one of a stop line and a pedestrian crossing. The database management device is further configured to: detect a road marking candidate being a candidate for the specific road marking around a vehicle; recognize vehicle behavior of at least one of the vehicle and another vehicle in a period when passing the road marking candidate; determine, based on the vehicle behavior, an evaluation value that indicates certainty of the road marking candidate being the specific road marking; and register the road marking candidate having the evaluation value equal to or higher than a threshold, as the specific road marking, in the road marking map information.

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Susono, Japan

Nobuhide Kamata