메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Robust Low-Level Feature Extraction using 3D LiDAR
Recommendations
Search
Questions

3D LiDAR 를 이용한 강인한 저수준의 특징 추출 방법

논문 기본 정보

Type
Proceeding
Author
김도형 (충북대학교) 김곤우 (충북대학교)
Journal
Institute of Control, Robotics and Systems 제어로봇시스템학회 국내학술대회 논문집 2018 33st ICROS Annual Conference (ICROS 2018)
Published
2018.5
Pages
502 - 503 (2page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Robust Low-Level Feature Extraction using 3D LiDAR
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
No content found
#3D LiDAR #Sparse Point Cloud #3D Feature Extraction #Odometry #3D Mapping

Contents

No content found

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Research of Vehicles Longitudinal Adaptive Control using V2I Situated Cognition based on LiDAR for Accident Prone Areas
Jae-Hwan Kim ,  Je-Wook Lee ,  Bok-Joong Yoon and others 3 Journal of Institute of Control, Robotics and Systems 2012 .05
Mobile Robot SLAM using 3D Camera
김태원 ,  최영수 ,  정경민 제어로봇시스템학회 각 지부별 자료집 2012 .12
The Development of a Map Building Algorithm using LADAR for Unmanned Ground Vehicle
Jeong-Yeob Lee ,  Sang-Hoon Lee ,  Jung-Ha Kim and others 1 Journal of Institute of Control, Robotics and Systems 2009 .12
Visual SLAM을 통해 살펴본 SLAM 기술의 변화와 흐름
최성록 ,  최중용 ,  김현주 Korea robotics society review 2021 .10
LIDAR and Geomagnetic Field Sensor-based Simultaneous Localization and Mapping (SLAM) Technologies for Indoor Autonomous Robots
Seung-Mok Lee 한국자동차공학회 지회 학술대회 논문집 2018 .11

Recently viewed articles

The Effects of Authentic Leadership on Leader Trust, Self Efficacy and Creative Behavior
Song, Jung-Su2016
 A Study on Education and Library of Modern Busan - Focused on Gaeseong School and Japan Hongdo Association Busan Branch -
Gyoung Hee Kimundefined2021.08
 A Study on the Defects of Building Equipment in Apartment Houses
Lim, Mann-Taek, Kwon 외 1명The Korean Housing Association2010.11

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2018-003-002045187