Cited time in webofscience Cited time in scopus

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

Title
Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression
Author(s)
Jungeun Kim
DGIST Authors
Jungeun KimKyoung-Dae KimSunghoon Im
Advisor
김경대
Co-Advisor(s)
Sunghoon Im
Issued Date
2023
Awarded Date
2023-02-01
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
Related Researcher
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Electrical Engineering and Computer Science Theses Master

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE