IRAP

About

Intelligent Robotic Autonomy and Perception (IRAP) Lab focuses on robotics problems in civil and environmental engineering applications. Targeting many hardly accessible or dangerous sites in the environment, we solves for robot autonomy dealing with perceptual sensor data. Main research interest and detailed robotics topics include perception based environment mapping, intelligent sensor fusion, decision making and control of the robotic agents, robotic operation and navigation in GPS-denied enthronements (e.g., underwater, indoor).

Research Interests

  • Intelligent perception and mapping
  • Autonomous robotic navigation
  • Decision making and multitasking in robotic navigation
  • Underwater imaging and navigation

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News


Sparse Depth Enhanced Direct Visual-LiDAR SLAM paper is accepted for Autonomous Robots

Three papers accepted for IROS 2019
Congratulations to Jinyong Jeong, Young-Sik Shin and Yeong Sang Park for their accepted papers at IROS 2019

Extrinsic calibration with non-overlapping Paper is accepted for RA-L
Road is enough! is available from early access

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), 2019.

Thermal-LiDAR SLAM Paper is accepted for RA-L
Thermal-LiDAR SLAM is available from early access

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), 2019.

Best Poster Award at ICRA Underwater Robotics Perception workshop
ICRA UW Perception 2019

Best Paper Award at ICRA Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR workshop
Congratulations to Alex Lee et al for winning the best paper award at ICRA DGB 2019

Our urban dataset paper has been accepted for IJRR
Congratulations to Jinyong Jeong, Younggun Cho, Young-sik Shin and Hyunchul Roh for their accepted dataset paper for IJRR

Jinyong Jeong, Younggun Cho, Young-sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments, IJRR, 2019

1-Day Learning, 1-Year Localization Paper is accepted for RA-L
1-Day Learning, 1-Year Localization is accepted for RA-L with ICRA

Giseop Kim and Byungjae Park and Ayoung Kim, 1-Day Learning, 1-Year Localization: Long-term LiDAR Localization using Scan Context Image. IEEE RA Letters, 2019.

A new 3D space syntax metric based on 3D isovist capture in urban space using remote sensing technology Paper is accepted for Computers, Environment and Urban Systems
3D Isovist is available from early access

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.

Three Posters will be presented at IROS 2018
Congratulations to Youngsik Shin, Lucas Cho and Hyesu Jang for their accepted posters at IROS 2018

One Poster will be presented at marine robotics workshop
Congratulations to MyungHwan Jeon for his accepted posters at IROS Workshop 2018

Three papers accepted for IROS 2018
Congratulations to Younggun Cho, Youngji Kim and Giseop Kim for their accepted papers at IROS 2018

Model based Visibility Enhancement paper is accepted for JFR

Multi-band Fusion for Single Image Dehazing Paper is accepted for RA-L
Multi-band Fusion Dehazing is available from early access

Younggun Cho and Jinyong Jeong and Ayoung Kim, Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision. IEEE RA Letters, 2018.

Best Paper Award at ICRA LTAWS (Long-term autonomy) workshop
Congratulations to Giseop Kim for winning the best paper award at ICRA LTAWS 2018

One paper accepted for UR 2018
Congratulations to Jinyong Jeong for his accepted papers at UR 2018

Two Posters will be preseted at LTAWS (Long-term autonomy) workshop
Congratulations to Younggun Cho and Giseop Kim for their accepted posters at ICRA LTAWS 2018

URP (creative) has been awarded
Congratulations to Hyesu Jang for the award CEE homepage

Complex Urban LiDAR Data Set Released
We introduce our complex urban LiDAR dataset accepted for ICRA 2018.

Three papers accepted for ICRA 2018
Congratulations to Jinyong Jeong, Young-Sik Shin, and Joowan Kim for their accepted papers at ICRA 2018

[More to the history of our group...]

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Page last modified on December 10, 2019, at 06:20 PM