Abstract: An image processing method includes acquiring a first image during a first exposure time, and a second image during a second exposure time, wherein the first exposure time is smaller than the second exposure time; acquiring the image region with the luminance greater than a first threshold in the second image as a first over-exposure region; acquiring the image region located at corresponding positions of the first over-exposure region and in the first image as a second over-exposure region; comparing the second over-exposure region and the first over-exposure region, for acquiring a first moving-object region; excluding the first moving-object region from the second over-exposure region, to generate a third over-exposure region; acquiring the image region located at corresponding positions of the third over-exposure region and in the second image as a fourth over-exposure region; and combining the third over-exposure region and the fourth over-exposure region.

Abstract: A system is adapted for detecting a driving state of a vehicle, and is operable to obtain real-time image frames corresponding to a driver of the vehicle for determining if the driver is in a dangerous driving state, to obtain operation information of the vehicle for determining if the vehicle is being operated in a dangerous condition when the driver is unable to be identified by the system, and to provide a notification when the driving state of the vehicle is determined to be dangerous.

Abstract: An automatic correction device of a vehicle display system and method thereof, comprising following steps: firstly, transform an image of road in front into projection information, to calculate a coordinate model, then detect facial features of a driver, to calculate a face rotation angle and a facial features 3-D position of said driver, to estimate a position field of view for said driver looking to front. Then, said position field of view is substituted into an image overlap projection transformation formula, to generate an overlap error correction parameter. Subsequently, utilize said overlap error correction parameter to correct and update said coordinate model. Finally, utilize a display unit to project said corrected coordinate model to front of said driver, so that projection position of said coordinate model overlaps said position field of view of said driver.

Abstract: A system is adapted for detecting a driving state of a vehicle, and is operable to obtain real-time image frames corresponding to a driver of the vehicle for determining if the driver is in a dangerous driving state, to obtain operation information of the vehicle for determining if the vehicle is being operated in a dangerous condition when the driver is unable to be identified by the system, and to provide a notification when the driving state of the vehicle is determined to be dangerous.

Abstract: An automatic correction device of a vehicle display system and method thereof, comprising following steps: firstly, transform an image of road in front into projection information, to calculate a coordinate model, then detect facial features of a driver, to calculate a face rotation angle and a facial features 3-D position of said driver, to estimate a position field of view for said driver looking to front. Then, said position field of view is substituted into an image overlap projection transformation formula, to generate an overlap error correction parameter. Subsequently, utilize said overlap error correction parameter to correct and update said coordinate model. Finally, utilize a display unit to project said corrected coordinate model to front of said driver, so that projection position of said coordinate model overlaps said position field of view of said driver.

Abstract: In free space detection system and method for a vehicle, left and right images captured from the vehicle environment in a direction of travel of the vehicle are transformed to obtain a depth image with disparity values. The depth image is transformed to obtain a road function and an occupancy grid map. A cost estimation value corresponding to each disparity value on the same image column in a detecting area of the occupancy grid map is estimated using a cost function and the road function such that initial boundary disparity values each defined by one disparity value on the same image column whose the cost estimation value is maximum are optimized to obtain optimized boundary disparity values by which a free space is determined.