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.

An ECU performs collision avoidance control for an avoiding collision with an object based on at least one of first information, which is a detection result of the object based on a reflected wave corresponding to a transmission wave, and second information, which is a detection result of the object based on a captured image of an area in front of a vehicle captured by an image capturing means. When the state changes from a state where the object is detected by the first information and the second information to a state where the object is detected only by the first information, the ECU determines whether or not the object is located in a near area predetermined as an area in front of the vehicle in which the second information is not be able be acquired. When it is determined that the object is located in the near area, the ECU maintains an activation condition of the collision avoidance control to that in the state where the object is detected by the first information and the second information.

A lane departure detection computing device for a roadside device is disclosed. The computing device is configured to execute instructions stored in a memory to: calculate a first path geometry relating to a first vehicle traveling in a first lane; calculate a second path geometry relating to a second vehicle traveling in a second lane different from the first lane; evaluate coextensive portions of the first path geometry and the second path geometry for parallelism; if the coextensive portions of the first path geometry and the second path geometry evaluated for parallelism are not parallel, determine that one of the first vehicle and the second vehicle is executing a lane departure; and operate a vehicle configured for autonomous operation responsive to the determination that one of the first vehicle and the second vehicle is executing a lane departure.

A vehicle and a method for controlling a vehicle detects an object for avoiding a collision between a vehicle and the object, based on a type of the object detected by the vehicle, and determining a risk of collision with the object. The vehicle includes an image capturer configured to detect an object by capturing the object around a vehicle, a sensor configured to acquire at least one of position information and speed information of the object, a controller configured to variably determine a detection target area based on the type of the detected object, configured to calculate a time to collision (TTC) between the vehicle and the object based on the at least one of position information and speed information of the object placed in the determined detection target area, and configured to transmit a signal to control a driving speed of the vehicle based on the calculated TTC, and a speed regulator configured to regulate the driving speed of the vehicle in response to the transmitted control signal.

A method of lane change and path planning that receives sensed signals from multiple sensors through a car computer on a vehicle to generate multiple traveling speed time-sorted information and multiple surrounding circumstance time-sorted information, and to further generate a 33 grid corresponding to the surroundings of the vehicle; when receiving a signal to switch on the turn signals, the car computer selects data within a time interval from those traveling speed time-sorted information and surrounding circumstance time-sorted information, respectively; and then the selected data is to be processed together with the 33 grid to generate a lane change space, and through a decision strategy to determine whether the lane change space complies with a safety movement strategy, and then the car computer generates a planned path of movement, such that a safest space for assisting lane change is provided for improving convenience and safety.

A system and method are provided for operating an autonomous or semi-autonomous host vehicle. The method includes receiving data measured from a plurality of sensors, wherein the measured data relates to one or more target vehicles in the host vehicle's field of view, calculating a desired speed command based on a driver-selected set-speed and the measured data, detecting initiation of a host vehicle lane change to a desired adjacent lane, and in response to initiation of the lane change, selecting an acceleration profile based on at least one set of operating conditions, calculating a modified speed command by adjusting the desired speed command according to the selected acceleration profile; and controlling a host vehicle speed based on the modified speed command.

An apparatus and a method are capable of accurately deciding a maneuver of a surrounding vehicle. The apparatus includes a first surrounding vehicle information detector configured to obtain first surrounding vehicle information for a surrounding vehicle of a vehicle by using a front radar device. The apparatus further includes a second surrounding vehicle information detector configured to obtain second surrounding vehicle information for the surrounding vehicle by using a corner radar device. The apparatus also includes a processor configured to decide a motion of the surrounding vehicle by using the first surrounding vehicle information and the second surrounding vehicle information. The processor is also configured to decide a maneuver of the surrounding vehicle by using maneuver decision logic derived by a mechanical training technique. The processor is further configured to decide a final maneuver of the surrounding vehicle by using the two decision results.

An apparatus configured for determining an intention to cut in in a vehicle may include a navigation module, a camera, a radar configured to obtain data about an external vehicle, a sensor configured to obtain data about behavior of the vehicle, and a processor configured to be electrically connected to the navigation module, the camera, the radar, and the sensor, wherein the processor is configured to obtain information associated with at least a portion of a road environment, traffic, or road curvature based on data obtained using at least a portion of the navigation module, the camera, the radar, or the sensor and adjust a parameter for determining an intention for a surrounding vehicle which is traveling in a second lane adjacent to a first lane where the vehicle is traveling to cut in, based on the obtained information.

The present invention obtains a processor and a processing method, a rider-assistance system, and a straddle-type vehicle capable of improving a rider's safety. A processor (20) includes: an acquisition section that acquires surrounding environment information about straddle-type vehicle (100); a determination section that determines necessity of assistance operation executed by the rider-assistance system (1) to assist with the rider's operation; and a control section that makes an execution device (P) execute the assistance operation in the case where the determination section determines that the assistance operation is necessary. The determination section determines the necessity of the assistance operation by using a rear index value, which is an index value depending on information on the surrounding environment at the rear and is an index value of a collision possibility of an object located behind the straddle-type vehicle (100) against the straddle-type vehicle (100). The rear index value is a value that varies according to a relative distance and a relative speed of the object located behind to the straddle-type vehicle (100).

In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.