Abstract: A method is to be implemented by a processor connected to a storage device and an image capturing device, and includes steps of: performing a first and a second classifications on an image received from the image capturing device for respectively obtaining first and second results of obstacle detection, and storing the same in the storage device; determining whether there is a distinct obstacle, which is an obstacle indicated by one of the first and second results of obstacle detection, and not indicated by the other one of the first and second results of obstacle detection; and calculating a penalty score based on the distinct obstacle, and updating a credibility score by subtracting the penalty score therefrom.

Abstract: A method is to be implemented by a processor connected to a storage device and an image capturing device, and includes steps of: performing a first and a second classifications on an image received from the image capturing device for respectively obtaining first and second results of obstacle detection, and storing the same in the storage device; determining whether there is a distinct obstacle, which is an obstacle indicated by one of the first and second results of obstacle detection, and not indicated by the other one of the first and second results of obstacle detection; and calculating a penalty score based on the distinct obstacle, and updating a credibility score by subtracting the penalty score therefrom.

Abstract: A method for image-based dynamic feature enhancement includes: using the camera to capture multiple images, selecting an ROI from each of the multiple images displayed on the camera through the ROI selection unit, configuring multiple brightness weights to correspond to the ROI, adjusting brightness of the image according to the multiple brightness weights and multiple actual brightness values corresponding to the ROI, and performing a multi-layer progressive sharpening process to adjust multiple actual sharpening parameters of the image through the sharpening adjustment unit. The camera parameters of the camera can be directly and instantly adjusted to improve brightness and sharpening of images captured by the camera and facilitate advanced driver assistance system to clearly identify road conditions.

Abstract: A method for image-based dynamic feature enhancement includes: using the camera to capture multiple images, selecting an ROI from each of the multiple images displayed on the camera through the ROI selection unit, configuring multiple brightness weights to correspond to the ROI, adjusting brightness of the image according to the multiple brightness weights and multiple actual brightness values corresponding to the ROI, and performing a multi-layer progressive sharpening process to adjust multiple actual sharpening parameters of the image through the sharpening adjustment unit. The camera parameters of the camera can be directly and instantly adjusted to improve brightness and sharpening of images captured by the camera and facilitate advanced driver assistance system to clearly identify road conditions.