標題: One Stage Detection Network with an Auxiliary Classifier for Real-Time Road Marks Detection
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
關鍵字: Road-mark detection;Real-time;CNNs
公開日期: 1-一月-2018
摘要: We construct a robust road mark detector that achieves high accuracy with real-time processing performance ( 32 fps) under nVidia Titan-X GPU. We combine one stage deep learning detector with auxiliary CNN classifiers as a robust road marks detector. We found out that one stage detector not only detects multiple objects via single inference efficiently, but also remains a good accuracy in performance perspective. However, to make it better, we add an extra CNN classifier as the back part of the proposed architecture to reduce false positive and get better accuracy. The proposed detector can achieve 86.8% mAP in our in-house six-class road mark database.
URI: http://hdl.handle.net/11536/152426
ISBN: 978-9-8814-7685-2
ISSN: 2309-9402
期刊: 2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC)
起始頁: 1379
結束頁: 1382
顯示於類別:會議論文