The mutual interference between frequency modulated continuous wave (FMCW) radars seriously affects autonomous driving. The interference will cause a short‐duration pulse‐like signal, which contains several change points in the time domain. The change‐point detection method called bottom‐up segmentation (BOTUP) is applied to deal with a short duration pulse‐like signal, which has excellent detection accuracy. However, the serial processing of BOTUP will cause considerable delay, which is not conducive to real‐time detection of automatic driving. In this paper, an accelerated architecture of BOTUP (ACC‐BOTUP) based on field‐programmable gate array (FPGA) is proposed. As BOTUP has segmented characteristics and without data dependency between the cost functions, a parallel structure is proposed to reduce the latency. Further, a pipeline structure is proposed to execute the operations of the cost functions in an overlapping manner. Compared with the original BOTUP (O‐BOTUP), the latency of ACC‐BOTUP is reduced by 82%, which is more suitable for real‐time detection in autonomous driving.