Toyota Jidosha Kabushiki Kaisha

Keisuke Hokai

Yusuke Hayashi

Taichi Kawanai

Nobuhide Kamata

Masahiro Harada

Eiji Sakaguchi

Yasuhiro Takagi

Hideyuki Matsui

Hideo Fukamachi

Kazuhiko Kamikado

Hiromitsu Urano

Shoichi Hayasaka

Shuichi Yoshikawa

Hojung Jung

Kunihito Satou

Takuya Migishima

A moving body control system executes a localization process that estimates a position of a moving body based on sensor-detected information and feature object map information indicating a position of a feature object. The moving body control system executes driving assist control based on the estimated position of the moving body. A first range includes the estimated position of the moving body and becomes larger as reliability of the localization process becomes lower. A first future range is at least a part of an expected passing range of the first range. When an obstacle is present in the first range or the first future range, the moving body control system makes the moving body decelerate or stop. When no obstacle is present in the first range or the first future range, the moving body control system continues the driving assist control.

Moving body control system and moving body control method

A control apparatus according to the present disclosure is configured to execute the following first to five processes. The first process is a localization of a moving body. The second process is revising an estimated position obtained by the localization such that a displacement amount with respect to a previous position is within a predetermined range. The third process is regarding a revised estimated position obtained as a position of the moving body in a current process, and performing a control of the moving body based on the revised estimated position. The fourth process is detecting a poor accuracy of the localization based on a difference between the estimated position and the revised estimated position. The fifth process is performing an emergency control corresponding to a magnitude of the difference when the poor accuracy of the localization is detected.

Control apparatus, control method, and non-transitory computer readable recording medium for controlling a moving body based on an estimated position

According to the method of the present disclosure, first, a plurality of data sets is generated from a travel log data group. Each of the plurality of data sets includes one or a plurality of travel log data. Next, map data for evaluation is generated from each of the plurality of data sets. Then, abnormal map data included in a plurality of map data for evaluation generated from the plurality of data sets is specified by comparing the plurality of map data for evaluation with each other. Then, abnormal travel log data is specified by comparing a data set used to generate the abnormal map data with a data set used to generate map data for evaluation other than the abnormal map data. And finally, final map data is generated using a data set that does not include the abnormal travel log data.

Method and apparatus for generating map data, and non-transitory computer-readable storage medium

In a vehicle sensor attaching structure in which a first sensor and second sensors for detecting an object outside a vehicle by sensor fusion are attached to the vehicle, the first sensor and the second sensors are disposed side by side in a uniaxial direction along a surface of the vehicle, and the one first sensor is disposed to be sandwiched between the two second sensors at equal intervals.

Vehicle sensor attaching structure and sensor control device

A control system according to the present disclosure comprises one or more memories and one or more processors. The one or more memories are configured to store observation data detected by one or more sensors installed in a moving body and an estimated position of the moving body. The one or more processors are configured to execute the following first to third processes. The first process is calculating the estimated position at a current time based on at least the estimated position calculated in a previous process and the observation data up to the current time. The second process is recalculating the estimated position at a past predetermined time. The third process is evaluating accuracy of the estimated position at the current time based on a difference between the estimated position at the past predetermined time stored in the memory and the recalculated estimated position.

Control system, control method, and non-transitory computer readable recording medium

A target detection apparatus is configured to recognize a stationary object present within a detection range of an external sensor based on map information. Next, the target detection apparatus is configured to determine, by checking an image of the stationary object detected by the external sensor against the stationary object recognized from the map information, whether the image of the stationary object detected by the external sensor includes an undetected region. When the undetected region is identified, the target detection apparatus is configured to recognize an undetectable object present between the stationary object and a vehicle.

Target detection apparatus and vehicle having the same mounted thereon

A vehicle includes an outside sensor configured to acquire information on an outside circumstance of the vehicle, a vehicle height adjusting device configured to adjust a vehicle height, and a control device configured to control the vehicle. The control device is configured to control the vehicle height adjusting device such that the vehicle height becomes a vehicle height corresponding to a platform condition at a predetermined stop position when the vehicle stops at the predetermined stop position. The control device is configured to control the vehicle height adjusting device based on a height of an obstacle such that the obstacle does not interfere with the vehicle when the obstacle is detected at the predetermined stop position by the outside sensor.

Vehicle and vehicle operating method

Provided is a vehicle sensor mounting structure by which a GNSS antenna and at least one external sensor are mounted on a roof of a vehicle, the at least one external sensor being configured to detect an external state of the vehicle. The vehicle sensor mounting structure includes: a first wiring hole into which a sensor wiring line of the at least one external sensor is drawn to be placed under the roof, the first wiring hole being formed in the roof; and a second wiring hole into which an antenna wiring line of the GNSS antenna is drawn to be placed under the roof, the second wiring hole being formed in the roof.

Vehicle sensor mounting structure

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

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.

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 background map information that indicates a position of a stationary object and an evaluation value. The evaluation value indicates certainty that the stationary object exists at the position indicated by the background map information. Driving environment information includes: surrounding situation information including information on a detected target detected by an in-vehicle sensor; and vehicle state information indicating the vehicle state. The database management device recognizes relative behavior of the vehicle with respect to the detected target, based on the driving environment information. The database management device determines, based on the relative behavior, whether or not the detected target is the stationary object to set the evaluation value of the background map information regarding a detected position of the detected target.

A map information system includes: an in-vehicle device that executes driving support control based on map information; an external device having external map information used for the driving support control; and an update determination device. The in-vehicle device further executes external update processing that updates first map information being the map information of a first area by using first external map information being the external map information of the first area. The update determination device calculates a change degree being a difference between the first map information and the first external map information, for each point or each area in the first area. The external update processing is prohibited with respect to a section in which the change degree is equal to or less than a threshold. The external update processing is permitted with respect to a section in which the change degree exceeds the threshold.

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Susono, Japan

Keisuke Hokai