In an autonomous traveling apparatus, a normal traveling area and a deceleration area are set for a monitoring area in an area setting unit. A speed control unit limits a traveling speed of an apparatus main body on the basis of the monitoring area set in the area setting unit and a distance from the apparatus main body to an obstacle within the monitoring area if the obstacle present within the monitoring area is detected. If the obstacle is a movable body, an area change unit changes the deceleration area within the monitoring area that is set in the area setting unit to a deceleration area for movable body. This configuration makes it possible to support even a case where an obstacle is a movable body, in limiting the traveling speed in response to obstacle detection.

The present disclosure relates to a control apparatus and a control method of an adaptive cruise control system. The control apparatus of the adaptive cruise control system includes: an information collector configured to collect at least one of driving information about a host vehicle, information about an object positioned ahead of the host vehicle, and information about a road on which the host vehicle runs; a target selector configured to select a target vehicle based on the information about the object and to select a first driving route of the host vehicle based on the information about the road; a route corrector configured to generate a second driving route obtained by correcting the first driving route based on road structure information among the information about the road; an offset determinator configured to determine a lateral offset based on the second driving route and object information about the target vehicle; a target corrector configured to select the target vehicle as an ultimate target vehicle based on the lateral offset; and a signal outputter configured to output a control signal to avoid the ultimate target vehicle while the host vehicle runs on the second driving route.

A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

A driving assistance apparatus includes a controller programmed to perform a deceleration assistance process of assisting in decelerating a vehicle before the vehicle arrives at a deceleration object, and to control a display apparatus to display, in a first display area, first notification information for notifying an occupant of the vehicle of the deceleration object that is a target for the deceleration assistance process. When a first object and a second object that is different from the first object are both detected as the deceleration object and the second object is the target for the deceleration assistance process but the first object is not the target for the deceleration assistance process, the controller is programmed to control the display apparatus to display, in a second display area, second notification information for notifying the occupant of the first object, the second display area is different from the first display area.

A vehicle acquires position information of the obstacle, identifies a collision point that may collide with the obstacle based on the acquired position information of the obstacle, controls one of steering and braking based on the position information of the identified collision point, and when controlling the steering, acquires a collision avoidance margin distance value corresponding to the position information of the identified collision point, predicts the collision position based on the position information of the obstacle and the information detected by the velocity detector, acquires a distance value between the predicted collision position and the current position, acquires a lateral movement distance value based on the acquired distance value and a preset turning radius of the vehicle, acquires a steering angle based on the acquired lateral movement distance value and the acquired collision avoidance margin distance value and controls steering based on the acquired steering angle.

Systems and methods for detecting and tracking objects are provided. In one example, a computer-implemented method includes receiving sensor data from one or more sensors. The method includes inputting the sensor data to one or more machine-learned models including one or more first neural networks configured to detect one or more objects based at least in part on the sensor data and one or more second neural networks configured to track the one or more objects over a sequence of sensor data. The method includes generating, as an output of the one or more first neural networks, a 3D bounding box and detection score for a plurality of object detections. The method includes generating, as an output of the one or more second neural networks, a matching score associated with pairs of object detections. The method includes determining a trajectory for each object detection.

A driving support ECU performs a following-travel steering control. The driving support ECU selects an other vehicle which is present on a traveling course of the own vehicle as a target candidate vehicle. When a specific condition is satisfied, the driving support ECU determines a preceding vehicle traveling on a traveling trajectory which has been generated up to a present time point as a following-travel steering target vehicle. When the specific condition is not satisfied, the driving support ECU determines the target candidate vehicle which has been selected in the present calculation timing as the following-travel steering target vehicle.

A driving support apparatus is provided with: a recognizer configured to obtain information indicating a surrounding environment of a host vehicle, and configured to recognize a deceleration required target, which is a target that requires deceleration of the host vehicle; and a supporter configured to perform a driving support operation for supporting the deceleration of the host vehicle, on condition that the deceleration required target is recognized by the recognizer. If a recognition situation, which is recognized by said recognizer, of the deceleration required target that causes the driving support operation to be performed becomes uncertain while performing the driving support operation, said supporter is configured to maintain a preceding operating state of the driving support operation, which is an operating state immediately before the recognition situation becomes uncertain.

A driving assistance apparatus includes a controller programmed to perform a deceleration assistance process of assisting in decelerating a vehicle before the vehicle arrives at a deceleration object, and to control a display apparatus to display, in a first display area, first notification information for notifying an occupant of the vehicle of the deceleration object that is a target for the deceleration assistance process. When a first object and a second object that is different from the first object are both detected as the deceleration object and the second object is the target for the deceleration assistance process but the first object is not the target for the deceleration assistance process, the controller is programmed to control the display apparatus to display, in a second display area, second notification information for notifying the occupant of the first object, the second display area is different from the first display area.