標題: | Stop Line Detection and Distance Measurement for Road Intersection based on. Deep Learning Neural Network |
作者: | Lin, Guan-Ting Santoso, Patrisia Sherryl Lin, Che-Tsung Tsai, Chia-Chi Guo, Jiun-In 交大名義發表 National Chiao Tung University |
公開日期: | 1-一月-2017 |
摘要: | 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 NVITAA DIGITS DevBox and Titan X GPU). |
URI: | http://hdl.handle.net/11536/146965 |
ISSN: | 2309-9402 |
期刊: | 2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017) |
起始頁: | 692 |
結束頁: | 695 |
顯示於類別: | 會議論文 |