Lane detection,Histogram equalization,Color space conversion,K-mean clustering,Polynomial regression,차선 인식,히스토그램 평활화,색상 공간,K-평균 군집화,다항식 회귀
Table Of Contents
I. Introduction 1 II. Related Works 4 2.1. Lane detection algorithm using image pre-processing 4 2.2. Building datasets in low illuminance environments 5 2.2.1. CULane 5 2.2.2. BDD100K 6 2.3. Development of the new network model 7 III. Methodology 8 3.1. Overall structure 8 3.2. Image pre-processing 8 3.3. Polynomial regression 10 IV. Experiments 11 4.1. Lane detection performance improvement using the proposed method 11 4.1.1. Dataset setting 11 4.1.2. Experiment Setting 11 4.2. Generalization of the proposed module 12 4.2.1. Dataset setting 12 4.2.2. Experiment Setting 12 V. Results 13 5.1. Lane detection performance improvement using the proposed method 13 5.1.1 Image pre-processing 13 5.1.2. Polynomial regression 14 5.2. Generalization of the proposed module 16 VI. Conclusion 19 Reference 20 요약문 23