27 citations · 31 across the 6 of their papers we have counts for
6 papers
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP
Sungho Yoon, Ayoung Kim
Estimating a dense and accurate depth map is the key requirement for autonomous driving and robotics. Recent advances in deep learning have allowed depth estimation in full resolut…
PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation
Myung-Hwan Jeon, Ayoung Kim
In this paper, we introduce a rotational primitive prediction based 6D object pose estimation using a single image as an input. We solve for the 6D object pose of a known object re…
Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information
Jinyong Jeong, Lucas Y. Cho, Ayoung Kim
This paper presents a framework for the targetless extrinsic calibration of stereo cameras and Light Detection and Ranging (LiDAR) sensors with a non-overlapping Field of View (FOV…
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum
Young-Sik Shin, Ayoung Kim
In this paper, we propose a thermal-infrared simultaneous localization and mapping (SLAM) system enhanced by sparse depth measurements from Light Detection and Ranging (LiDAR). The…
DeepLO: Geometry-Aware Deep LiDAR Odometry
Younggun Cho, Giseop Kim, Ayoung Kim
Recently, learning-based ego-motion estimation approaches have drawn strong interest from studies mostly focusing on visual perception. These groundbreaking works focus on unsuperv…
Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks
Youngji Kim, Ayoung Kim
We proposed an end-to-end deep learning-based simultaneous localization and mapping (SLAM) system following conventional visual odometry (VO) pipelines. The proposed method complet…