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 vehicle travel support system includes: an information acquisition device that uses a sensor to acquire surrounding situation information; and a vehicle travel control device that controls travel of a vehicle. When a lane change to an adjacent lane is necessary, the vehicle travel control device uses the surrounding situation information to determine whether or not there is a lane restriction item indicating that entry into the adjacent lane is restricted. When there is the lane restriction item, the vehicle travel control device sets a zone of the adjacent lane including a position of the lane restriction item and having a predetermined distance as a no-entry zone. The vehicle travel control device prohibits the lane change until the vehicle passes through a side of the no-entry zone and permits the lane change after the vehicle passes through the side of the no-entry zone.

A driving assistance system includes at least one receiving module designed to receive perception data from a driving environment, a control module designed to control an on-board system, a conversion module designed to generate, on the basis of the perception data, a plurality of instances of classes of an ontology stored by the driving assistance system and defining relations between classes, and a reasoning tool designed to deduce, on the basis of the ontology, at least one property of an instance of the plurality. The control module is designed to control the on-board system on the basis of the deduced property.

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 method is provided for selecting, by a driver, a road user, the road user being an evaluation object of a function of a driver assistance system of a motor vehicle, using at least one display device which displays the road user. After a first operating action is carried out, a search function is activated in which at least a subset of the shown road users is individually marked on the display device in a sequence containing all road users. When a second operating action is carried out, or after a predetermined first period of time, the currently-marked road user is selected as the evaluation object for the function.

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.

The invention relates to a method for tracking a target vehicle (9) approaching a motor vehicle (1) by means of a camera system (2) of the motor vehicle (1). A temporal sequence of images (10) of an environmental region of the motor vehicle (1) is provided by means of at least one camera (3) of the camera system (2). The target vehicle (9) is detected in an image (10) of the sequence by means of an image processing device (5) of the camera system (5) based on a feature of a front (11) or of a rear of the target vehicle (9) and then the target vehicle (9) is tracked over subsequent images (10) of the sequence based on the detected feature. Wherein at least a predetermined feature of a lateral flank (14) of the target vehicle (9) is detected in one of the subsequent images (10) of the sequence by the image processing device (5), and after detection of the feature of the lateral flank (14), the target vehicle (9) is tracked over further images (10) of the sequence based on the feature of the lateral flank (14).

A roundabout detecting arrangement is disclosed configured to detect presence of a roundabout ahead of a vehicle hosting the arrangement. The arrangement includes a preceding vehicle monitoring unit configured to monitor at least one of a lateral movement and a heading direction of a vehicle preceding the host vehicle, and further configured to generate a first signal representative thereof. The arrangement also includes a processing unit configured to detect presence of the roundabout by processing the first signal. The present disclosure also relates to an adaptive cruise control arrangement and a method of detecting the presence of a roundabout.

A vehicle having an electronic, automatic transmission incorporates a safety stop system. A position sensor or sensors are mounted onto the vehicle and are in communication with an electric controller. The electric controller in turn is operatively connected to the actuation solenoids in the hydraulic transmission. When a safety violation occurance is detected, then the electric controller either slows the speed of the vehicle or stops the vehicle through the transmission.

A driving support ECU retains an already-present traveling trajectory of a first vehicle to determine a target traveling line based on the retained already-present traveling trajectory during a specific period. When a specific situation occurs in the specific period, the driving support ECU produces a traveling trajectory of the first vehicle in such a manner that the traveling trajectory of the first vehicle is continuous with the already-present traveling trajectory based on position information of the first vehicle and the retained traveling trajectory to determine the target traveling line based on the produced traveling trajectory.