https://hyu.wiki/index.php?action=history&feed=atom&title=%EC%8B%A0%ED%98%B8%EC%B2%98%EB%A6%AC_%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5_%EC%97%B0%EA%B5%AC%EC%8B%A4 2026-04-12T03:21:48Z 이 문서의 편집 역사 MediaWiki 1.34.1 https://hyu.wiki/index.php?title=%EC%8B%A0%ED%98%B8%EC%B2%98%EB%A6%AC_%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5_%EC%97%B0%EA%B5%AC%EC%8B%A4&diff=37258&oldid=prev 2020-09-03T07:25:24Z

<p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ko"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← 이전 판</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">2020년 9월 3일 (목) 07:25 판</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l22" >22번째 줄:</td> <td colspan="2" class="diff-lineno">22번째 줄:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Deep metric learning for driving style recognition and robot localization</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Deep metric learning for driving style recognition and robot localization</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Path planning and decision making for autonomous vehicles and mobile robots</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Path planning and decision making for autonomous vehicles and mobile robots</div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[분류:연구실]]</ins></div></td></tr> </table>

Hjy0208 https://hyu.wiki/index.php?title=%EC%8B%A0%ED%98%B8%EC%B2%98%EB%A6%AC_%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5_%EC%97%B0%EA%B5%AC%EC%8B%A4&diff=13199&oldid=prev 2019-11-01T02:27:21Z

<p><span dir="auto"><span class="autocomment">주요 연구</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ko"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← 이전 판</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">2019년 11월 1일 (금) 02:27 판</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l6" >6번째 줄:</td> <td colspan="2" class="diff-lineno">6번째 줄:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*홈페이지: http://spa.hanyang.ac.kr</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*홈페이지: http://spa.hanyang.ac.kr</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>= 주요 연구 =</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>= 주요 연구 =</div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">=== Advanced signal processing and machine learning ===</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Signal processing and machine learning for 5G mmWave communications and massive machine type communications (MMTC)</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Inverse problem and model compression based on deep learning</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Object detection using spatio-temporal context</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Super resolution algorithm for image sensors</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Object tracking for video data sequence</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Low power/ low complexity deep learning algorithms</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">=== Machine learning for intelligent vehicles and mobile robots ===</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Sensor fusion-based 3D object detection</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Trajectory and behavior prediction based on global scene and interaction context</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Pedestrian tracking and intent identification</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Radar/Lidar signal processing</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Deep metric learning for driving style recognition and robot localization</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Path planning and decision making for autonomous vehicles and mobile robots</ins></div></td></tr> <!-- diff cache key wikidb-wk:diff::1.12:old-13197:rev-13199 --> </table>

Wony https://hyu.wiki/index.php?title=%EC%8B%A0%ED%98%B8%EC%B2%98%EB%A6%AC_%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5_%EC%97%B0%EA%B5%AC%EC%8B%A4&diff=13197&oldid=prev 2019-11-01T02:26:17Z

<p>새 문서: 본 연구실에서는 신호처리와 머신러닝 분야를 연구하고 있습니다. 신호처리 분야에서는 압축센싱과 같은 최신 신호처리 이론을 이용하여...</p> <p><b>새 문서</b></p><div>본 연구실에서는 신호처리와 머신러닝 분야를 연구하고 있습니다. 신호처리 분야에서는 압축센싱과 같은 최신 신호처리 이론을 이용하여 다양한 신호처리 응용분야에 대한 연구를 수행하고 있습니다. 밀리미터대역 통신, 머신러닝기반 채널추정, 위치기반 D2D 시스템, 초음파영상 복원 알고리즘, 센서데이터 처리등에 대한 연구를 수행하고 있습니다. 머신러닝 분야에서는 딥러닝과 강화학습 이론을 이용하여 자율주행, 인터랙티브 로봇, 스마트 그리드, 저연산 딥러닝 알고리즘등에 대한 연구를 수행하고 있습니다.<br /> 신호처리 인공지능 연구실 홈페이지 참고(2019.11)<br /> *소속: 서울 [[공과대학]] [[전기생체공학부]] [[전기공학전공]]<br /> *영문명: The Embedded control system lab (ECSL)<br /> *실장: [[최준원]] [[전기생체공학부]] [[전기공학전공]] 교수<br /> *홈페이지: http://spa.hanyang.ac.kr<br /> = 주요 연구 =</div>

Wony