Dynamic Detection of Grooved Rail Irregularity Based on Inertial Reference Method.
Jin-Yi DengHao FengYu BaiHong-Yuan ZhanDong-Xiu FengKai-Feng GuoRong ZengJian-Jian XiaYong-Jun XiePublished in: ICNSC (2020)
Keyphrases
- detection method
- high accuracy
- false positive rate
- detection algorithm
- computational cost
- preprocessing
- significant improvement
- dynamic programming
- experimental evaluation
- false positives
- probabilistic model
- high precision
- edge detection
- dynamic environments
- theoretical analysis
- synthetic data
- object detection
- optimization algorithm
- objective function
- cost function
- color images
- multiresolution
- computational complexity