Title

Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression

DGIST Authors

Jungeun Kim ; Kyoung-Dae Kim ; Sunghoon Im

Advisor

김경대

Co-Advisor(s)

Sunghoon Im

Issued Date

2023

Awarded Date

2023-02-01

Citation

Jungeun Kim. (2023). Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression. doi: 10.22677/THESIS.200000659476

Type

Thesis

Description

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

URI

http://hdl.handle.net/20.500.11750/45750
http://dgist.dcollection.net/common/orgView/200000659476

DOI

10.22677/THESIS.200000659476

Degree

Master

Department

Department of Electrical Engineering and Computer Science

Publisher

DGIST

Show Full Item Record