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.

A control system for a subject vehicle includes an autonomous braking system, a forward monitoring sensor and a rearward monitoring sensor. The controller monitors a first speed of a first vehicle travelling in front of the subject vehicle and a second speed of a second vehicle travelling to the rear of the subject vehicle. A first gap-closing time is determined based upon the speed of the subject vehicle and the first speed of the first vehicle. A second gap-closing time is determined based upon the speed of the subject vehicle and the second speed of the second vehicle. The controller controls the speed of the subject vehicle based upon the first gap-closing time and the second gap-closing time when one of the first gap-closing time or the second gap-closing time is less than a first threshold time.

A cruise control method to control a driven vehicle includes: determining projected speeds of the driven vehicle at each of the predetermined-upcoming locations; determining a plurality of following times at each of the predetermined-upcoming locations of the driven vehicle and the projected speeds of the followed vehicle; determining whether at least one of the plurality of following times is less than the predetermined-minimum time threshold; and in response to determining that at least one plurality of following times is less than the predetermined-minimum time threshold, commanding, by the controller, the propulsion system of the driven vehicle to decrease the commanded axle torque by a torque adjustment in order to prevent each of the plurality of following times at each of the predetermined-upcoming locations from being less than the predetermined-minimum time threshold.

The present invention is a method for determining an optimal speed of a first vehicle preceded by a second vehicle. Position, speed and acceleration of the second vehicle are measured in order to determine a trajectory thereof, and a dynamic model of the first vehicle is constructed. The optimal speed is then determined by minimizing the energy consumption of the vehicle by use of the dynamic model by minimization being constrained by the trajectory of the second vehicle.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to monitor conditions of a roadway as a vehicle travels the roadway while an adaptive cruise control feature of the vehicle is active, identify an expected condition change based on the monitoring the conditions of the roadway, determine a preferred power state for an engine of the vehicle based on the expected condition change, determine that an engine power state transition is planned for the engine, the engine power state transition including transitioning the engine from a current power state to a planned power state, and resolve the engine power state transition based on the preferred power state.

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 method for controlling a distance of a vehicle to a preceding vehicle, characterized in that, in a step of limiting, the distance is limited to a preselected distance target value and, in a step of setting, the distance target value is set using a change of an accelerator pedal angle.

A device according to the present disclosure is configured to, when it is determined that the road on which a vehicle travels is an uphill road and the speed of the vehicle is controlled such that the vehicle follows a preceding vehicle, in a case where the preceding vehicle is no longer detected, inhibit the acceleration of the vehicle or decelerate the vehicle until it is determined that the road on which the vehicle travels is no longer the uphill road, or alternatively, until a certain period of time elapses.

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 system for a vehicle is provided. The system may include a memory and at least one processor configured to: access a plurality of images of a forward-facing view from the vehicle, the plurality of images corresponding to image data obtained by a camera; determine from the images a first lane marking on a first side of a lane, the lane through which the vehicle can navigate, and a second lane marking on a second side of the lane opposite of the first side; navigate the vehicle autonomously relatively centered between the first and second lane markings; determine from the plurality of images that an object is on the first side or the second side of the lane, and the object beyond the first or second lane marking; and navigate the vehicle autonomously to travel over a driving path that is offset from a center of the lane.