IRAP

Publication

The below is the list of publication made by lab members.

The list, sort by type, is sorted by publication type, 'SCI', 'SCIE' and 'Conference'.

2019

  1. Giseop Kim, Byungjae Park and Ayoung Kim, 1-Day Learning, 1-Year Localization: Long-term LiDAR Localization using Scan Context Image. IEEE Robotics and Automation Letters (RA-L) (with ICRA), 4(2):1948-1955, 2019. [Online] [PDF] [BibTeX]
  2. Young-Sik Shin, Yeong Sang Park and Ayoung Kim, DVL-SLAM: Sparse Depth Enhanced Direct Visual-LiDAR SLAM. Autonomous Robots, 2019. (Accepted. To appear.). [Online] [PDF] [BibTeX]
  3. Giseop Kim, Ayoung Kim and Youngchul Kim, A new 3D space syntax metric based on 3D isovist capture in urban space using remote sensing technology. Computers, Environment and Urban Systems, 74:74-87, 2019. [Online] [BibTeX]
  4. Jinyong Jeong, Younghun Cho and Ayoung Kim, The Road Is Enough! Extrinsic Calibration of Non-Overlapping Stereo Camera and LiDAR Using Road Information. IEEE Robotics and Automation Letters (RA-L) (with IROS), 4(3):2831 - 2838, 2019. [Online] [PDF] [BibTeX]
  5. Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments. International Journal of Robotics Research, 38(6):642-657, 2019. [Online] [PDF] [BibTeX]
  6. Young-Sik Shin and Ayoung Kim, Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum. IEEE Robotics and Automation Letters (RA-L) (with IROS), 4(3):2918-2925, 2019. [Online] [PDF] [BibTeX]
  7. Yeong Sang Park, Joowan Kim and Ayoung Kim, Radar Localization and Mapping for Indoor Disaster Environments via Multi-modal Registration to Prior LiDAR Map. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, Nov. 2019. (Accepted. To appear.). [PDF] [BibTeX]
  8. Sejin Lee, Byungjae Park and Ayoung Kim, Deep Learning based Object Detection via Style-transferred Underwater Sonar Images. In IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS), Daejeon, Sep. 2019. (Accepted. To appear.). [PDF] [BibTeX]
  9. Younggun Cho, Ramavtar Malav, Gaurav Pandey and Ayoung Kim, DehazeGAN: Underwater Haze Image Restoration using Unpaired Image-to-image Translation. In IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS), Daejeon, Sep. 2019. (Accepted. To appear.). [PDF] [BibTeX]
  10. MyungHwan Jeon, Yeongjun Lee, Young-Sik Shin, Hyesu Jang and Ayoung Kim, Underwater Object Detection and Pose Estimation using Deep Learning. In IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS), Daejeon, Sep. 2019. (Accepted. To appear.). [PDF] [BibTeX]
  11. Jongwon Lee and Ayoung Kim, Neural Network-Based Long-Term Place Recognition from Omni-Images. In Proceedings of the IEEE International Conference on Ubiquitous Robots (UR), pages 189-193, Jun. 2019. [Online] [PDF] [BibTeX]
  12. Sejin Lee, Byungjae Park and Ayoung Kim, A Deep Learning Based Submerged Body Classification Using Underwater Imaging Sonar. In Proceedings of the IEEE International Conference on Ubiquitous Robots (UR), pages 106-112, Jeju, Jun. 2019. [Online] [BibTeX]
  13. Sejin Lee, Byungjae Park and Ayoung Kim, Deep Learning from Shallow Dives: Sonar Image Generation and Training for Underwater Object Detection. In ICRA Workshop on Underwater Robotics Perception, Montreal, May. 2019. (Best paper award). [Online] [PDF] [BibTeX]
  14. Yeong Sang Park, Jinyong Jeong, Youngsik Shin and Ayoung Kim, Radar Dataset for Robust Localization and Mapping in Urban Environment. In ICRA Workshop on Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR, Montreal, May. 2019. [Online] [PDF] [BibTeX]
  15. Hyesu Jang, Giseop Kim, Yeongjun Lee and Ayoung Kim, CNN-based Approach for Opti-Acoustic Reciprocal Feature Matching. In ICRA Workshop on Underwater Robotics Perception, Montreal, May. 2019. [Online] [PDF] [BibTeX]
  16. Alex Junho Lee, Younggun Cho, Sungho Yoon, Youngsik Shin and Ayoung Kim, ViViD : Vision for Visibility Dataset. In ICRA Workshop on Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR, Montreal, May. 2019. (Best paper award). [Online] [PDF] [BibTeX]

2018

  1. Seonghun Hong, Dongha Chung, Jinwhan Kim , Youngji Kim , Ayoung Kim and Hyeon Kyu Yoon, In-Water Visual Ship Hull Inspection using a Hover-Capable Underwater Vehicle with Stereo Vision. Journal of Field Robotics, 36(3):531-546, 2018. [Online] [BibTeX]
  2. Younggun Cho, Jinyong Jeong and Ayoung Kim, Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision. IEEE Robotics and Automation Letters (RA-L) (with IROS), 3(4):2822-2829, 2018. [Online] [PDF] [BibTeX]
  3. Younggun Cho and Ayoung Kim, Channel Invariant Online Visibility Enhancement for Visual SLAM in a Turbid Environment. Journal of Field Robotics, 35(7):1080-1100, 2018. [Online] [PDF] [BibTeX]
  4. Ramavtar Malav, Ayoung Kim, Soumya Ranjan Sahoo and Gaurav Pandey, DHSGAN: An End to End Dehazing Network for Fog and Smoke. In Asian Conference of Computer Vision (ACCV), Perth, Dec. 2018. [BibTeX]
  5. Giseop Kim and Ayoung Kim, Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4802-4809, Madrid, Oct. 2018. [Online] [PDF] [BibTeX]
  6. Youngji Kim, Jinyong Jeong and Ayoung Kim, Stereo Camera Localization in 3D LiDAR Maps. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1-9, Madrid, Oct. 2018. [Online] [PDF] [BibTeX]
  7. Jinyong Jeong and Ayoung Kim, LiDAR Intensity Calibration for Road Marking Extraction. In Proceedings of the IEEE International Conference on Ubiquitous Robots (UR), pages 455-460, Honolulu, Jun. 2018. [Online] [PDF] [BibTeX]
  8. Young-Sik Shin, Yeong Sang Park and Ayoung Kim, Direct Visual SLAM using Sparse Depth for Camera-LiDAR System. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 1-8, Brisbane, May. 2018. [Online] [PDF] [BibTeX]
  9. Giseop Kim, Byungjae Park and Ayoung Kim, Learning Scan Context toward Long-term LiDAR Localization. In ICRA Workshop on Long-term Autonomy and Deployment of Intelligent Robots in the Real-world, Brisbane, May. 2018. (Best paper award). [Online] [PDF] [BibTeX]
  10. Joowan Kim, Younggun Cho and Ayoung Kim, Exposure Control using Bayesian Optimization based on Entropy Weighted Image Gradient. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 857-864, Brisbane, May. 2018. [Online] [PDF] [BibTeX]
  11. Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban LiDAR Data Set. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 6344-6351, Brisbane, May. 2018. [Online] [PDF] [BibTeX]
  12. Younggun Cho, Jinyong Jeong, Youngsik Shin and Ayoung Kim, DejavuGAN: Multi-temporal Image Translation toward Long-term Robot Autonomy. In ICRA Workshop on Long-term Autonomy and Deployment of Intelligent Robots in the Real-world, Brisbane, May. 2018. [Online] [PDF] [BibTeX]

2017

  1. Hyunchul Roh, Jinyong Jeong and Ayoung Kim, Aerial Image based Heading Correction for Large Scale SLAM in an Urban Canyon. IEEE Robotics and Automation Letters (RA-L) (with IROS), 2(4):2232-2239, 2017. [Online] [PDF] [BibTeX]
  2. Alex J. Lee and Ayoung Kim, Event-Based Real-time Optical Flow Estimation. In Proceedings of the International Conference on Control, Automation and Systems, Jeju, S. Korea, Oct. 2017. [Online] [PDF] [BibTeX]
  3. Youngji Kim and Ayoung Kim, On the Uncertainty Propagation: Why Uncertainty on Lie Groups Preserves Monotonicity?. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3425-3432, Vancouver, Canada, Sep. 2017. [Online] [PDF] [BibTeX]
  4. Joowan Kim, Jinyong Jeong, Young-Sik Shin, Younggun Cho, Hyunchul Roh and Ayoung Kim, LiDAR Configuration Comparison for Urban Mapping System. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), pages 854-857, Jeju, S. Korea, Aug. 2017. [Online] [PDF] [BibTeX]
  5. Yeong Sang Park, Ayoung Kim, and Young Sam Lee, Path Planning using Flexible Region Sampling for Arbitrarily-Shaped Obstacles. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), pages 210-215, Jeju, S. Korea, Aug. 2017. [Online] [PDF] [BibTeX]
  6. Dae-Hyeon Gwon, Joowan Kim, Moon Hwan Kim, Ho Gyu Park, Tae Yeong Kim, Ayoung Kim, Development of a Side Scan Sonar Module for the UnderWater Simulator. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), pages 662-665, Jeju, S. Korea, Aug. 2017. [Online] [PDF] [BibTeX]
  7. Joowan Kim and Ayoung Kim, Light Condition Invariant Visual SLAM via Entropy based Image Fusion. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), pages 529-533, Jeju, S. Korea, Aug. 2017. [Online] [PDF] [BibTeX]
  8. Jinyong Jeong, Younggun Cho and Ayoung Kim, Road-SLAM : Road Marking based SLAM with Lane-level Accuracy. In Proceedings of the IEEE Intelligent Vehicle Symposium, pages 1736-1473, Redondo Beach, CA, Jun. 2017. [Online] [PDF] [BibTeX]
  9. Younggun Cho and Ayoung Kim, Visibility Enhancement for Underwater Visual SLAM based on Underwater Light Scattering Model. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 710-717, Singapore, May. 2017. [Online] [PDF] [BibTeX]

2016

  1. Youngji Kim and Ayoung Kim, Comparison of Point Feature Matching and Graph Matching for Underwater Scene Matching. In Proceedings of the International Conference on Control, Automation and Systems, Gyeongju, S. Korea, Oct. 2016. [BibTeX]
  2. Dae-Hyeon Gwon, Young-Sik Shin, Youngji Kim, Yeongjun Lee, Hyun-Taek Choi and Ayoung Kim, Nontemporal Relative Pose Estimation for Opti-Acoustic Bundle Adjustment. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-5, Monterey, CA, Sep. 2016. [Online] [PDF] [BibTeX]
  3. Youngji Kim, Hwasup Lim, Sang Chul Ahn and Ayoung Kim, Simultaneous Segmentation, Estimation and Analysis of Articulated Motion from Dense Point Cloud Sequence. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1085-1092, Daejeon, S. Korea, Sep. 2016. [Online] [PDF] [BibTeX]
  4. Younggun Cho, Young-Sik Shin and Ayoung Kim, Online Depth Estimation and Application to Underwater Image Dehazing. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-7, Monterey, CA, Sep. 2016. [Online] [PDF] [BibTeX]
  5. Young-Sik Shin, Younggun Cho, Gaurav Pandey and Ayoung Kim, Estimation of Ambient Light and Transmission Map with Common Convolutional Architecture. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-7, Monterey, CA, Sep. 2016. [Online] [PDF] [BibTeX]
  6. Jinyong Jeong and Ayoung Kim, Adaptive Inverse Perspective Mapping for Lane map generation with SLAM. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), pages 38-41, Xian, China, Aug. 2016. [Online] [PDF] [BibTeX]
  7. Hyunchul Roh, Jinyong Jeong, Younggun Cho and Ayoung Kim, Accurate Mobile Urban Mapping via Digital Map-Based SLAM. MDPI Sensors, 16(8):1315, Aug. 2016. [Online] [BibTeX]
  8. Stephen M. Chaves, Ayoung Kim, Enric Galceran and Ryan M. Eustice, Opportunistic sampling-based active visual SLAM for underwater inspection. Autonomous Robots, 40(7):1245–-1265, Jul. 2016. [Online] [BibTeX]
  9. Paul Ozog, Nicholas Carlevaris-Bianco, Ayoung Kim and Ryan M. Eustice, Long-term mapping techniques for ship hull inspection and surveillance using an autonomous underwater vehicle. Journal of Field Robotics, Special Issue on Safety, Security and Rescue Robotics, 33(3):265-289, May. 2016. [Online] [BibTeX]

2015

  1. Young-Sik Shin, Yeongjun Lee, Hyun-Taek Choi and Ayoung Kim, Bundle Adjustment from Sonar Images and SLAM Application for Seafloor Mapping. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-6, Washington, DC, Oct. 2015. [Online] [PDF] [BibTeX]
  2. Ayoung Kim and Ryan M. Eustice, Active Visual SLAM for Robotic Area Coverage: Theory and Experiment. International Journal of Robotics Research, Special Issue on Robot Vision, 34(4-5):457-475, Apr. 2015. [Online] [PDF] [BibTeX]

2014

  1. Stephen M. Chaves, Ayoung Kim and Ryan M. Eustice, Opportunistic sampling-based planning for active visual SLAM. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3073-3080, Chicago, IL, USA, Sep. 2014. [Online] [PDF] [BibTeX]

2013

  1. Ayoung Kim and Ryan M. Eustice, Real-time visual SLAM for autonomous underwater hull inspection using visual saliency. IEEE Transactions on Robotics, 29(3):719-733, Jun. 2013. [Online] [PDF] [BibTeX]
  2. Ayoung Kim and Ryan M. Eustice, Perception-driven navigation: Active visual SLAM for robotic area coverage. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 3181-3188, Karlsruhe, Germany, May. 2013. [Online] [PDF] [BibTeX]

2012

  1. Franz S. Hover, Ryan M. Eustice, Ayoung Kim, Brendan Englot, Hordur Johannsson, Michael Kaess and John J. Leonard, Advanced perception, navigation and planning for autonomous in-water ship hull inspection. International Journal of Robotics Research, Special Issue on 3D Exploration, Mapping, and Surveillance, 31(12):1445-1464, Oct. 2012. [Online] [PDF] [BibTeX]
  2. Ayoung Kim and Ryan M. Eustice, Next-best-view visual SLAM for bounded-error area coverage. In IROS Workshop on Active Semantic Perception, Vilamoura, Portugal, Oct. 2012. [PDF] [BibTeX]
  3. Ayoung Kim, Active visual SLAM with exploration for autonomous underwater navigation. PhD thesis, University of Michigan, Aug. 2012. [BibTeX]

2011

  1. Ayoung Kim and Ryan M. Eustice, Combined visually and geometrically informative link hypothesis for pose-graph visual SLAM using bag-of-words. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1647-1654, San Francisco, CA, USA, Sep. 2011. [Online] [PDF] [BibTeX]

2009

  1. Hunter C. Brown, Ayoung Kim and Ryan M. Eustice, An overview of autonomous underwater vehicle research and testbed at PeRL. Marine Technology Society Journal, 43(2):33-47, 2009. [PDF] [BibTeX]
  2. Ayoung Kim and Ryan M. Eustice, Toward AUV survey design for optimal coverage and localization using the cramer rao lower bound. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-7, Biloxi, MS, USA, Oct. 2009. [Online] [PDF] [BibTeX]
  3. Ayoung Kim and Ryan M. Eustice, Pose-graph visual SLAM with geometric model selection for autonomous underwater ship hull inspection. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1559-1565, St. Louis, MO, USA, Oct. 2009. [Online] [PDF] [BibTeX]

2008

  1. Ryan M. Eustice, Hunter C. Brown and Ayoung Kim, An overview of AUV algorithms research and testbed at the University of Michigan. In Proceedings of the IEEE/OES Autonomous Underwater Vehicles Conference, pages 1-9, Woods Hole, MA, USA, Oct. 2008. [Online] [BibTeX]
  2. Hunter Brown, Ayoung Kim and Ryan Eustice, Development of a multi-AUV SLAM testbed at the University of Michigan. In Proceedings of the IEEE/MTS OCEANS Conference and Exhibition, pages 1-6, Quebec City, Quebec, Canada, Sep. 2008. [Online] [PDF] [BibTeX]

2007

  1. Ayoung Kim, Stiffness Analysis and Hybrid Control for Parallel Manipulator. Master's thesis, Seoul National University, Dec. 2007. [BibTeX]
  2. A-Young Kim, Sitae Kim, Jay-Il Jeong, Jongwon Kim and F.C. Park, Exploiting Redundant Actuation to Enhance the Static Stiffness of Parallel Mechanisms. In The 13th International Conference on Advanced Robotics, Jeju, Korea, Aug. 2007. [BibTeX]
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