Toyota Jidosha Kabushiki Kaisha

Toyota Research Institute, Inc.

Waseda University

Toyota Motor Engineering & Manufacturing North America, Inc.

Kentaro Ichikawa

Hiromitsu Urano

Taisuke Sugaiwa

Toshiki Kindo

Bunyo Okumura

Maiko Hirano

Junya Ueno

Katsuhiro Sakai

Masahiro Harada

Kunihito Sato

Yusuke Hayashi

Akihide Tachibana

Kazuhiro Watanabe

Koji Taguchi

Taichi Kawanai

Shigeki Sugano

Kunihito Satou

Kazunori Nimura

Hiroyasu Iwata

Nobuyuki Tomatsu

Kunihiro Iwamoto

Junya Watanabe

Sho Otaki

Ikuma Suzuki

Michael James Delp

Hiroshi Nakamura

Yasuo Sakaguchi

Kohei Otsuka

Narihito Yamazato

Yoshitaka Adachi

A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.

Autonomous driving vehicle system

A remote assistance management system is in communication with autonomous traveling vehicles for letting an operator provide remote assistance in response to an assistance request from a vehicle. The system predicts an occurrence of an assistance request in future based on operation states of the vehicles, and categorize a cause of an assistance request predicted to occur into a first category cause that lasts for a long time and a second category cause that lasts only for a short time. The system receives an assistance request from the vehicles. In response to acquiring a first assistance request of which the cause is the first category cause from a first vehicle, the system transmits a first command signal for the first vehicle that is decided by an operator to the first vehicle, and applies the first command signal to another vehicle from which the first assistance request is predicted to occur.

Remote assistance management for reducing the load of operators by remote assistance prediction and categorization

An object detection device that determines whether or not an object is present in a blind spot of a sensor mounted on a moving object includes an acquisition unit configured to acquire an entry/exit status of the object into/from a closed blind spot of the sensor on the basis of a detection result from the sensor, and a determination unit configured to determine the presence or absence of the object in the closed blind spot on the basis of the entry/exit status.

Object detection device

According to the remote assistance method of the present disclosure, first, a positional relationship between the vehicle having an autonomous traveling function and an object present around the vehicle at a future time beyond a current time is displayed spatially on a display device, the positional relationship being predicted based on a path plan for autonomous traveling created by the vehicle and information on the object. Next, assistance content input from a remote operator is transmitted to the vehicle. Then, remote assistance corresponding to the assistance content is executed in the vehicle in response to confirmation that the positional relationship between the vehicle and the object displayed on the display device when the assistance content is input is realized after the vehicle receives the assistance content.

Remote assistance method, remote assistance system, and non-transitory computer-readable storage medium

Automated drive system comprises a control device. The control device executes run control processing of the automated drive vehicle provided to a driverless transportation service. The run control processing includes carriage porch control processing. The carriage porch control processing is performed when a PUDO position of a user corresponds to a carriage porch of a facility including a zone for run and a zone for PUDO. In the carriage porch control processing, it is judged whether or not there is an empty space in the zone for PUDO. If it is judged that there is no empty space, it is judged whether or not a quick PUDO of the user in the carriage porch is expected. If it is judged that the quick PUDO is expected, a target PUDO position to perform a PUDO action of the automated drive vehicle is set to any position in the zone for run.

Pick-up and drop-off device and method for automated driving vehicle

A pick-up and drop-off area, which is a predetermined area in which an automated driving vehicle stops to pick up or drop off a user, includes a downstream area existing downstream of a standard stop space and an upstream area existing upstream of the standard stop space. An automated driving system controls the automated driving vehicle so as to stop in a target stop space in the pick-up and drop-off area. When the standard stop space is available, the standard stop space is set as the target stop space. When the standard stop space is not available for the automated driving vehicle to stop to drop off the user, the automated driving system searches for an upstream available space in the upstream area and preferentially sets the upstream available space as the target stop space.

Automated driving system

Autonomous driving apparatus including a driving state switcher

An automated driving system controls an automated driving vehicle. A plurality of stop lots are virtually arranged in a pick-up and drop-off area in which the automated driving vehicle stops to pick up or drop off a user. An order of priority of the plurality of stop lots is set. The automated driving system selects a stop lot one by one in the order of priority and determines whether or not the selected stop lot is available for the automated driving vehicle to stop. When the selected stop lot is available for the automated driving vehicle to stop, the selected stop lot is set as a target stop lot. The automated driving system controls the automated driving vehicle so as to stop in the target stop lot.

An automatic driving system includes an electronic control device configured to: detect a driving operation input amount during an automatic driving control for a vehicle; determine whether the driver is able to start manual driving during the automatic driving control for the vehicle; output a signal for performing switching from automatic driving to the manual driving based on a result of a comparison between the driving operation input amount and a driving switching threshold that is a threshold for the switching from the automatic driving to the manual driving; set the driving switching threshold to a first driving switching threshold when it is determined that the driver is able to start the manual driving; and set the driving switching threshold to a second driving switching threshold exceeding the first driving switching threshold when it is determined that the driver is not able to start the manual driving.

Automatic driving system

System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.

Systems and methods for training a driver about automated driving operation using a reliability model

A method for controlling a comfort component of a vehicle is presented. The method includes determining that the vehicle has arrived at a destination. The method also includes determining that the comfort component is activated. The method further includes deactivating the comfort component in response to determining that the comfort component is activated and the vehicle has arrived at the destination.

Controlling comfort components of a vehicle based on an occupancy state

An autonomous driving control device is capable of starting an autonomous driving control without an operation of a driver and reducing a possibility that the driver can not start manual driving. An autonomous driving control is switched to manual driving when a determination section determines that the amount of operation by the driver is equal to or greater than a first threshold, before a predetermined time elapses since the autonomous driving control is automatically started. An autonomous driving control is switched to a manual driving when the determination section determines that the amount of operation by the driver is equal to or greater than a second threshold that is greater than the first threshold, after the predetermined time elapses.

Autonomous driving control device

A method and device is provided for detecting a state change in an environment around a vehicle, and providing a notification in response to detecting a state change, wherein the detection involves determining a portion of the environment to capture, capturing a portion of the environment, detecting a state change in the captured portion, and the production of a notification in response to the change in the captured environment. Certain embodiments include traffic signal detection, vehicle detection, vehicle speed detection, and user adjustment of the detection.

Growing community of inventors

Shizuoka-ken, Japan

Kentaro Ichikawa