Research
Topics
Our group develops perception systems that automatically recognize the environment around vehicles and robots using various perception sensors. We carry out a variety of projects supported by automobile and robotics companies as well as governments.
Projects
Ongoing
Deep Learning-based Freespace Detection Fusing Around View Monitoring Images and Ultrasonic Sensors, Hyundai Motor Company (HMC), 2024~2025
Deep Learning-based Panoptic Obstacle Map Generation Using Around View Monitoring Images, National Research Foundation of Korea (NRF), 2022~2024
Development of AI Edge Devices for LiDAR-Camera Fusion-based Precise Object Detection, Ministry of National Defence (MND), 2023~2025
Fusion of RGB and Thermal Images for Flood and Fire Segmentation and Detection based on Embedded Edge Devices, WithRobot, 2023~2024
Development of AI-based Next Generation Unmanned Aerial Vehicles, Priority Research Centers Program, Ministry of Education (MOE), 2020~2029
Neural Processing Unit (NPU)-based Multimodal Emotion Recognition, Ministry of Science and ICT (MSIT), 2022~2025
Completed
Deep Learning-based Embedded Object Detection and Tracking for Local Dynamic Map, Ministry of Land, Infrastructure and Transport (MOLIT), 2021~2023
Embedded Deep Learning-based Environmental Perception for Smart Factory Mobile Robot, WithRobot, 2022-2023
Deep Learning-based Vehicle Localization and Landmark Detection, National Research Foundation of Korea (NRF), 2020~2023
Calibration of Multiple Cameras, Lidars, and IMUs for Autonomous Vehicles, Hyundai Motor Company (HMC), 2021~2022
Deep Learning-based Moving Object Detection and Tracking for Real-Time Embedded System, WithRobot, 2019~2022
Deep Learning-based Passenger Protection for Wireless Trams, Korea Railroad Research Institute (KRRI), 2019~2020
Automatic Search for ISP Parameters of Automotive Rearview Fisheye Camera, Hyundai Mobis, 2018~2020
Deep Learning-based Obstacle Detection for Automotive Rearview Fisheye Camera, National Research Foundation of Korea (NRF), 2017~2020
Single Front Camera-based Landmark Detection for Vehicle Localization, Ministry of Land, Infrastructure and Transport (MOLIT), 2017~2020
Deep Learning-based Multi-functional Automotive Rearview Fisheye Camera Using Embedded Devices, Ministry of Trade, Industry and Energy (MOTIE), 2019~2020
Sensor Fusion-based Road Boundary Detection for Autonomous Highway Driving, Hyundai Motor Company, 2018~2019
Sensor Fusion-based Vehicle Localization for Autonomous Parking, Hyundai Motor Company, 2018~2019
Deep Learning-based Pedestrian Detection for Automotive Rearview Camera, Sejong University, 2018~2019
Deep Learning-based Pedestrian Protection System, Ministry of Science, ICT and Future Planning (MSIP), 2016~2018
Vehicle Detection and Tracking Using Single Front Fisheye Camera, Ministry of Trade, Industry and Energy (MOTIE), 2017~2017
Cut-in Vehicle Detection Using Around View Monitor System, Hyundai Motor Company, 2016~2017
Single Rearview Fisheye Camera-based 3D Obstacle Modeling, Hyundai Motor Company, 2015~2016
Automatic Calibration of Around View Monitor System, Hyundai Mobis, 2015~2016
Sensor Fusion-based Blind Spot Detection, Hyundai Motor Company, 2015~2016
Smartphone-based Lane Departure and Forward Collision Warning Systems, Samsung Electronics, 2015~2015
Pedestrian Detection Using a Single Rearview Fisheye Camera, LG Innotek, 2014~2015
Precise Vehicle Localization Using Map, Camera, IMU and GPS, Ministry of Trade, Industry and Energy (MOTIE), 2013~2015
Sensor Fusion-based Parking Slot Detection and Tracking, Hyundai Motor Company, 2011~2014
Nighttime Vehicle Detection for Forward Collision Warning, Mando Corporation, 2011~2012
Stereo Vision-based Obstacle Detection and Tracking, Hyundai Mobis, 2013~2014
Stereo Vision-based Driving Environment Perception, Mando Corporation, 2012~2012
Stereo Vision-Based Pedestrian Detection, National Research Foundation of Korea (NRF), 2011-2013
Monocular Motion Stereo-based Automatic Parking Space Detection, Mando Corporation, 2005~2007