Efficient implementation of computing unit for Hough transform

Advanced driver assistant system (ADAS) is widely adopted in smart cars and it is relied on image recognition algorithm. Hough transform is an essential algorithm for lane detection and traffic sign recognition in the ADAS and influences the detection ratio. The Hough transform is often implemented by hardware due to the heavy calculation. The Hough transform requires evaluation of sine and cosine functions. This paper proposes a computing scheme for the Hough transform. The proposed scheme enables continuous computing of sine and cosine values and designing efficient hardware architecture. The computing hardware for Hough transform is designed and compared with the previous works.