Honda Motor Co., Ltd.

Akinori Oi

Kenta Ishii

Tatsuya Konishi

Takahiro Yoshida

Yuya Kaneda

Takeshi Tamaki

Yoshimitsu Murahashi

Marina Saikyo

Tomoyuki Yokoyama

A travel control apparatus includes: a detection unit configured to detect an exterior environment situation around a subject vehicle; and a microprocessor configured to perform: recognizing, based on a detected value of the detection unit, a traveling state of a preceding vehicle on a current lane; determining, based on a recognized result, whether the preceding vehicle has started a deceleration; estimating a traveling trajectory of the preceding vehicle through a Kalman filter to which a physical quantity representing the traveling state of the preceding vehicle is to be inputted as an input value; and controlling a traveling actuator based on an estimated result to make the subject vehicle follow the preceding vehicle. The estimating includes, when it is determined that the preceding vehicle has started the deceleration, varying a weight for the Kalman filter.

Travel control apparatus

A deceleration detection apparatus including an object detection device that detects an object around a subject vehicle, a rainfall detection device that detects a rainfall state around the subject vehicle, a brightness detection device that detects a brightness around the subject vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform determining whether a forward vehicle traveling in front of the subject vehicle decelerates, based on an amount of change in a vehicle speed of the forward vehicle detected by the object detection device, a lighting state of a brake lamp of the forward vehicle detected by the object detection device, the rainfall state detected by the rainfall detection device, and the brightness detected by the brightness detection device.

Deceleration detection apparatus

A surrounding vehicle monitoring device includes an acquiring unit configured to acquire a midpoint between a rear left end position and a rear right end position of another vehicle, acquire a width of the other vehicle, and change a current position of a great change position to a corrected position and acquire a midpoint between a current position of a small change position and the corrected position as a position of the other vehicle in a case where a changing amount of the width is equal to or more than a first threshold. The great change position is one of the rear left end position and the rear right end position whose changing amount is the greater of the two. The small change position is another of the rear left end position and the rear right end position whose changing amount is the smaller of the two.

Surrounding vehicle monitoring device and surrounding vehicle monitoring method

A recognition device includes an acquisition unit configured to acquire a first detection result from a LIDAR that detects a target present in a traveling direction of a vehicle and to acquire a second detection result from a camera disposed so that the detection range overlaps that of the LIDAR, and a recognition unit configured to recognize a target present around the vehicle on the basis of the first detection result and the second detection result, in which the recognition unit executes exclusion processing of excluding a target, that satisfies all of a first condition indicating that a target is present within a predetermined distance from the vehicle, a second condition indicating that a target is detected by the LIDAR and is not detected by the camera, and a third condition indicating that a width of a target is equal to or less than a predetermined value and a detection duration thereof is equal to or less than a predetermined time, from a result of recognition recognized as a target present around the vehicle.

Recognition device, vehicle system, recognition method, and storage medium

A processing device acquires map data that has road information, acquires detection results detected by one or more detectors that detects surroundings of a first mobile object, and cross-checks a position of a second mobile object included in the detection results with the road information of the map data to determine whether or not the position of the second mobile object is included in a region indicating a road of the road information.

Processing device, processing method, and medium for evaluating map reliability for vehicles

An estimation device includes a recognition unit configured to recognize a surrounding environment of a moving object in recognition regions, and an estimation unit configured to estimate a risk for the moving object on the basis of a recognition result from the recognition unit, in which the recognition unit sets a priority region on which a recognition process is preferentially performed among the recognition regions, according to a state of the surrounding environment of the moving object, and sets, as the priority region, a region overlapping a region including at least a part of at least one crosswalk that is present in a vicinity of an intersection region in which a first road on which the moving object is located intersects a second road present in an advancing direction of the moving object.

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Wako, Japan

Akinori Oi