Stop line detection and distance measurement for road intersection based on deep learning neural network
Guan-Ting Lin, Patrisia Sherryl Santoso, Che-Tsung Lin, Chia–Chi Tsai, Jiun-In Guo · 2017
In this paper, we introduce Boost-CNN, a robust stop-line detector that can detect objects (stop line) with competitive tradeoff between speed and accuracy. Boost-CNN consists of an AdaBoost classifier and a CNN. The former is our region proposal generator and it is further combined with the later to be a stop-line detector. In addition, an automatic hard mining method is proposed to reduce the number of false alarm. Our proposed detector achieves 91.5% in accuracy and has 100 FPS performance in test time (performed on NVIDIA DIGITS DevBox and Titan X GPU).