Deep Learning for the Detection and Recognition of Rail Defects in Ultrasound B-Scan Images

UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

(2020) Mingjie Liu et al.   SENSORS

YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3

(2020) Guoxu Liu et al.   SENSORS

Bayesian Survival Approach to Analyzing the Risk of Recurrent Rail Defects

(2019) Faeze Ghofrani et al.   TRANSPORTATION RESEARCH RECORD

Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense

(2019) Yunong Tian et al.   Journal of Sensors

Deep Learning for Generic Object Detection: A Survey

(2019) Li Liu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Train rail defect classification detection and its parameters learning method

(2019) Fupei Wu et al.   MEASUREMENT

A novel rail defect detection method based on undecimated lifting wavelet packet transform and Shannon entropy-improved adaptive line enhancer

(2018) Qiushi Hao et al.   JOURNAL OF SOUND AND VIBRATION

An improved AE detection method of rail defect based on multi-level ANC with VSS-LMS

(2018) Xin Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Recent applications of big data analytics in railway transportation systems: A survey

(2018) Faeze Ghofrani et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3

(2018) Xiang Zhang et al.   SENSORS

Fast classification for rail defect depths using a hybrid intelligent method

(2018) Yi Jiang et al.   OPTIK

Field Test Performance of Noncontact Ultrasonic Rail Inspection System

(2017) Stefano Mariani et al.   Journal of Transportation Engineering Part A-Systems