Detail View

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

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

DC Field Value Language
dc.contributor.advisor 김경대 -
dc.contributor.author Jungeun Kim -
dc.date.accessioned 2023-03-22T19:57:22Z -
dc.date.available 2024-02-28T06:00:28Z -
dc.date.issued 2023 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/45750 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000659476 -
dc.description Lane detection,Histogram equalization,Color space conversion,K-mean clustering,Polynomial regression,차선 인식,히스토그램 평활화,색상 공간,K-평균 군집화,다항식 회귀 -
dc.description.tableofcontents 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
-
dc.format.extent 23 -
dc.language eng -
dc.publisher DGIST -
dc.title Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200000659476 -
dc.description.degree Master -
dc.contributor.department Department of Electrical Engineering and Computer Science -
dc.identifier.bibliographicCitation Jungeun Kim. (2023). Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression. doi: 10.22677/THESIS.200000659476 -
dc.contributor.coadvisor Sunghoon Im -
dc.date.awarded 2023-02-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 김74 202302 -
dc.date.accepted 2023-03-21 -
dc.contributor.alternativeDepartment 전기전자컴퓨터공학과 -
dc.subject.keyword Lane detection -
dc.subject.keyword Histogram equalization -
dc.subject.keyword Color space conversion -
dc.subject.keyword K-mean clustering -
dc.subject.keyword Polynomial regression -
dc.subject.keyword 차선 인식 -
dc.subject.keyword 히스토그램 평활화 -
dc.subject.keyword 색상 공간 -
dc.subject.keyword K-평균 군집화 -
dc.subject.keyword 다항식 회귀 -
dc.contributor.affiliatedAuthor Jungeun Kim -
dc.contributor.affiliatedAuthor Kyoung-Dae Kim -
dc.contributor.affiliatedAuthor Sunghoon Im -
dc.contributor.alternativeName 김정은 -
dc.contributor.alternativeName Kyoung-Dae Kim -
dc.contributor.alternativeName 임성훈 -
Show Simple Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Total Views & Downloads