Nissan Motor Company Limited

Renault S.a.s.

Toshihiro Asai

Atsushi Ito

Takahiro Nojiri

Tatsuya Shino

Katsuhiko Degawa

Shuko Ishimaru

Shuhei Emoto

A vehicle control method executed by a processor for controlling a subject vehicle includes: acquiring, from a sensor for detecting a state of surroundings of the subject vehicle, detection data of another vehicle traveling in an adjacent lane adjacent to a travel lane in which the subject vehicle is traveling, and setting, on the adjacent lane, a target point for the subject vehicle to change a lane from the travel lane to the adjacent lane based on a position relationship between the subject vehicle and the other vehicle, specifying the other vehicle that is located behind the target point as a rear vehicle, and starting blinking of the direction indicator of the subject vehicle when a rear end of the subject vehicle is located ahead of the front end of the rear vehicle.

Vehicle control method and vehicle control device

A driving assist method reduces a possibility of missing an opportunity to correct a host vehicle position set on map data. In the driving assist method using a controller that sets a target inter-vehicular distance from a host vehicle to a preceding vehicle, whether there is a request to execute a correction of a host vehicle position set on electronic map data is determined based on a result of comparing position information on a road sign described on the electronic map data with position information on the road sign acquired by using a camera installed in the host vehicle. If an execution request has not been made, the target inter-vehicular distance is set to a preset first target inter-vehicular distance. If an execution request has been made, the target inter-vehicular distance is set to a second target inter-vehicular distance, which is longer than the first target inter-vehicular distance.

Driving assist method and driving assist device

An autonomous driving control method carried out by an autonomous driving control system having an autonomous driving control unit that executes an autonomous driving control for causing a host vehicle to travel along a target travel route generated on a map, comprising setting one or a plurality of target passage gates through which the host vehicle is scheduled to pass during passage through a toll plaza, determining the presence or absence of a preceding vehicle that has the predicted passage gate that matches the target passage gate of the host vehicle from among a plurality of preceding vehicles, and carrying out following travel using the preceding vehicle that has the predicted passage gate that matches the target passage gate as a follow target.

Autonomous driving control method and autonomous driving control system

In this vehicle position estimation device, positions of a target present in a periphery of a vehicle is detected and, in conjunction therewith, amounts of movements of the vehicle is detected, and the positions of the target is stored as target position data, based on the amounts of movements. In addition, a portion of the target position data are grouped into a group according to turning states of the vehicle, and, based on amounts of movements of the vehicle when the target position data are detected, an adjustment range for the group is set. Further, map information including positions of the target is acquired and, by matching the target position data with the positions of the target in the map information based on the set adjustment range, a vehicle position of the vehicle is estimated.

Vehicle position estimation device, vehicle position estimation method

In this vehicle position estimation device, positions of a target present in a periphery of a vehicle are detected, amounts of movements of the vehicle are detected, and the positions of the target are stored as target position data, based on the detected amounts of movements. In addition, map information including the positions of the target is pre-stored in a map database, and, by matching the target position data and the map information, a vehicle position of the vehicle is estimated. Further, a turning point of the vehicle is detected. Furthermore, target position data in a range from a present location to a set distance and in a range going back from the turning point by another set distance to a point (the turning point&#x2014;another set distance) are retained.

An own-position estimation device: detects positions of landmarks present around a vehicle; accumulates the detected positions of the landmarks as landmark position data based on a movement amount of the vehicle; extracts straight lines from the accumulated landmark position data; selects pieces of the landmark position data used for own-position estimation based on angles formed by intersecting ones of the extracted straight lines; and estimates a position of the vehicle by matching the selected pieces of the landmark position data and positions of landmarks in map information.

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Kanagawa, Japan

Toshihiro Asai