반복영역 건너뛰기 주메뉴 바로가기 본문 바로가기
  • 전체 37
  • 현재페이지 2/4
  • thumbnail_02.png Sengupta, Shubhranil 박사과정
    • 입학년도 2023 가을
  • SengarNaha.jpeg 네하 센가르 박사과정
    • 입학년도 2023 봄
    • 연구분야 로보틱스, 컴퓨터 비전 및 인식
  • thumbnail_02.png 신주엽 박사과정
    • 입학년도 2023 봄
  • 20235424_-_sumit_mishra.jpg Sumit Mishra 박사과정
    • 입학년도 2023 봄
    • 연구분야 컴퓨터비전, 로보틱스인식, 스마트시티, 지능형교통시스템
    • Journal
      1. S Mishra, N Singh, and D Bhattacharya, "Application based COVID19 micro-mobility solution for safe and smart navigation in pandemics", ISPRS International Journal of Geo-Information, MDPI, 2021 (IF: 3.4)

      2. S Mishra, P K Rajendran, L F Santos V, and D Har, "Sensing accident-prone features in urban scenes for proactive driving and accident prevention", IEEE Transactions on Intelligent Transportation Systems (IF:8.5)

      3. S Mishra, V Singh, A Gupta, D Bhattacharya, and A Mudgal "Adaptive Traffic Signal Control in Developing Countries Using Parameters from Crowd-Source Data" Transportation Letters, Taylor & Francis, 2022 (IF: 3.598)

      4. S Mishra, A Kushwaha, D Aggrawal, A Gupta, “Comparative emission study by real-time congestion monitoring for stable pollution policy on temporal and meso-spatial regions in Delhi.” Journal of Cleaner Production, Elsevier, 2019 (IF: 11.072)

      5. S Mishra, D Bhattacharya, A Gupta, “Congestion adaptive traffic light control and notification architecture using Google maps APIs” Data 2018, 3, 67. SCOPUS, ESCI (Web of Science) and Inspec (IET) Listed

      6. S Mishra, and B Ahuja. "Optical parameters testing to redefine visibility for low cost transmissometer using channel modeling." Optik-International Journal for Light and Electron Optics 127.23 (2016). (IF: 3.1)
    • Conference
      1. S Mishra, D Bhattacharya, A Gupta, V R Singh, Adaptive traffic light cycle time controller using microcontrollers and crowdsource data of Google APIs for developing countries, ISPRS Annals, SDSC-2018, Delft, Netherlands, SCOPUS, Web of Science Listed

      2. D Bhattacharya, M Painho, S Mishra and A Gupta, Mobile traffic alert and tourist route guidance system design using geospatial data, ISPRS Archives, 2nd SDSC UDMS IEEE Conference, Puebla, Mexico, October 4-6, 2017. SCOPUS, Web of Science Listed.

      3. S Mishra, “Network Security Protocol For Constrained Resource Devices In Internet Of Things” 12th IEEE Indian International conference INDICON 2015, 17-20 December 2015, Jamia Millia Islamia, New Delhi.

      4. S Mishra, V Singh, D Bhattacharya, "Framework for freight truck return-trip assignment system" 11th IEEE IC3 2018 conference, 2-4 August 2018.

      5. S Mishra, P K Rajendran, and D Har, “Socially acceptable route planning and trajectory behavior analysis of personal mobility device for mobility management with improved sensing” 9th Robot Intelligence Technology and Applications, RiTA 2021, 16-17, 2021 at KAIST in Daejeon, Korea

      6. P Shyam, S Mishra, K J Yoon, and K S Kim, “Infra Sim-to-Real: An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation” 33rd IEEE Intelligent Vehicles Symposium, 2022

      7. P K Rajendran, S Mishra, L F Santos V, and D Har, "RELMOBNET: A Robust Two-Stage End-To-End Training Approach for MOBILENETV3 Based Relative Camera Pose Estimation" IWDSC, ECCV workshop 2022

      8. S Mishra, D Bhattacharya, A Chaturvedi, and N Singh, “Assessing micro-mobility services in pandemics for studying 10-minutes cities concept in India using geospatial data analysis: an application” IWCTS, ACM SIGSPATIAL workshop 2022

    Sumit Mishra received the B.Tech. degree in electronics and communication engineering from Dr. A. P. J. Abdul Kalam Technical University, India, in 2016, and the M.S. degree from the Robotics Department, Korea Advanced Institute of Science and Technology, South Korea, in 2023, where he is currently pursuing the Ph.D. degree. Earlier, he worked with Learnogether Technologies Pvt. Ltd., as a Research Consultant. His research interests include deep learning, computer vision, and robotics 3D perception using multi-modal data.

  • thumbnail_02.png 김동현 박사과정
    • 입학년도 2022 가을
  • 정종오.jpg 정종오 박사과정
    • 입학년도 2022 가을
    • 연구분야 시각적 인식, 자율주행, 도메인 적응
    • Journal
      "End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning," IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Sept. 2022.

      "Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints," IEEE Access. Apr. 2023
    • Conference
      "Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather," British Machine Vision Conference (BMVC), Nov. 2022.

      "Using Privileged Information to Improve Prediction in Health Data: A Case Study," NeurIPS 2019 Workshop on Information Theory and Machine Learning (ITML 2019)

    카이스트 기계공학과 윤국진 교수님 지도 하에 박사과정에 재학중인 로봇공학학제전공 정종오입니다. 주 관심 연구분야로는 다양한 환경, 조건에서의 자율주행 상황에서 시각적인 인지능력을 향상시키는 비전시스템, 그리고 이를 위한 최적화 방법입니다.

  • QZ_-_Qianyi_Zhang.png Qianyi Zhang 박사과정
    • 입학년도 2022 가을

    I obtained the undergraduate and master degrees from Harbin Engineering University in 2019 and 2022 respectively, where I majored in Marine Engineering. I'm now a Doctor Candidate at Mobile Robotics & Intelligence Laboratory (MORIN Lab). My research interests include underwater robotics, navigation and SLAM.

  • thumbnail_02.png 김남균 박사과정
    • 입학년도 2022 봄
  • thumbnail_02.png 백승준 박사과정
    • 입학년도 2022 봄
  • thumbnail_02.png 조훈희 박사과정
    • 입학년도 2022 봄