Automotive Research & Testing Center

Han-Wen Huang

Chuan-Ren Li

Kuo-Ching Chang

Li-You Syu

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.

Method for evaluating credibility of obstacle detection

A target object detection system includes a detection unit and a machine learning unit. The detection unit obtains an image and outputs a notification signal upon determining that a portion of the image resembles a target object by performing a classification operation. The machine learning unit performs a training operation using the image to obtain new weak classifier parameters for update in the detection unit when a determination made using weak classifier parameters used in the classification operation of the detection unit differs from one made using strong classifier parameters.

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Han-Wen Huang