Abstract: The present invention provides a tunnel decision apparatus, including: a camera which outputs an image of a view in front of a vehicle; a road area classifying unit which detects a vanishing point from the image of the view in front of a vehicle to output at least one of a road area and a non-road area; a pattern detecting unit which detects at least one of a lamp pattern from the non-road area and a lane pattern from the road area; and a tunnel decision unit which determines whether the vehicle enters a tunnel in consideration of at least one of the lamp pattern and the lane pattern.

Abstract: The present invention provides a tunnel decision apparatus, including: a camera which outputs an image in front of a vehicle; a road area classifying unit which detects a vanishing point from the image in front of a vehicle to output at least one of a road area and a non-road area; a pattern detecting unit which detects at least one of a lamp pattern from the non-road area and a lane pattern from the road area; and a tunnel decision unit which determines whether the vehicle enters a tunnel in consideration of at least one of the lamp pattern and the lane pattern.

Abstract: A lane departure warning system and method are provided. The lane departure warning system includes a camera, a tunnel recognition module, a virtual lane module, and a determination/warning module. The camera captures a front image of a vehicle. The tunnel recognition module determines whether a current position of the vehicle is in a tunnel section, using the front image captured by the camera. The virtual lane module determines whether two or more lanes are detected from the front image when the current position is in the tunnel section and, when only one lane is detected, generates a virtual lane at a position corresponding to the one lane using a pre-calculated road width. The determination/warning module determines whether the vehicle departs from a lane, using the one lane and the virtual lane or the two or more lanes detected, and warns of lane departures accordingly.

Abstract: An auto-focusing method includes: setting a central point of area of interest according to a user's input to select a moving object to perform auto tracking of the moving object within an image; setting an auto focusing area encompassing the central point of area of interest, the auto focusing area in which an operation is performed for auto focusing; setting a tracking sub-window encompassing the auto focusing area, the tracking sub-window in which an operation is performed for auto tracking; and tracking, by the central point of area of interest according to the user's input, the auto focusing area and the tracking sub-window, the moving object while changing a position of the auto focusing area and updating a position of the tracking sub-window according to a movement of the moving object.

Abstract: An auto-focusing method according to an aspect of the invention may include: setting a central point of area of interest according to a user's input to select a moving object to perform auto tracking of the moving object within an image; setting an auto focusing area encompassing the central point of area of interest, the auto focusing area in which an operation is performed for auto focusing; setting a tracking sub-window encompassing the auto focusing area, the tracking sub-window in which an operation is performed for auto tracking; and tracking, by the central point of area of interest according to the user's input, the auto focusing area and the tracking sub-window, the moving object while changing a position of the auto focusing area and updating a position of the tracking sub-window according to a movement of the moving object.