19 citations · 55 across the 12 of their papers we have counts for
12 papers
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and Semidensification
Yasuhiro Yao, Ryoichi Ishikawa, Takeshi Oishi
We present a real-time, non-learning depth estimation method that fuses Light Detection and Ranging (LiDAR) data with stereo camera input. Our approach comprises three key techniqu…
Robust LiDAR-Camera Calibration with 2D Gaussian Splatting
Shuyi Zhou, Shuxiang Xie, Ryoichi Ishikawa +1
LiDAR-camera systems have become increasingly popular in robotics recently. A critical and initial step in integrating the LiDAR and camera data is the calibration of the LiDAR-cam…
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface
Chengrui Zhu, Ryoichi Ishikawa, Masataka Kagesawa +3
Reconstructing three-dimensional (3D) structures from two-dimensional (2D) X-ray images is a valuable and efficient technique in medical applications that requires less radiation e…
CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer
Lian Fu, Ryoichi Ishikawa, Yoshihiro Sato +1
The ability to estimate joint parameters is essential for various applications in robotics and computer vision. In this paper, we propose CAPT: category-level articulation estimati…
INF: Implicit Neural Fusion for LiDAR and Camera
Shuyi Zhou, Shuxiang Xie, Ryoichi Ishikawa +3
Sensor fusion has become a popular topic in robotics. However, conventional fusion methods encounter many difficulties, such as data representation differences, sensor variations,…
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching
Yasuhiro Yao, Ryoichi Ishikawa, Shingo Ando +4
We propose a non-learning depth completion method for a sparse depth map captured using a light detection and ranging (LiDAR) sensor guided by a pair of stereo images. Generally, c…
Learning 6DoF Grasping Using Reward-Consistent Demonstration
Daichi Kawakami, Ryoichi Ishikawa, Menandro Roxas +2
As the number of the robot's degrees of freedom increases, the implementation of robot motion becomes more complex and difficult. In this study, we focus on learning 6DOF-grasping…
Relative Drone-Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations
Jan Hausberg, Ryoichi Ishikawa, Menandro Roxas +1
Estimating the pose of an unmanned aerial vehicle (UAV) or drone is a challenging task. It is useful for many applications such as navigation, surveillance, tracking objects on the…
Discontinuous and Smooth Depth Completion with Binary Anisotropic Diffusion Tensor
Yasuhiro Yao, Menandro Roxas, Ryoichi Ishikawa +3
We propose an unsupervised real-time dense depth completion from a sparse depth map guided by a single image. Our method generates a smooth depth map while preserving discontinuity…
A Hand Motion-guided Articulation and Segmentation Estimation
Richard Sahala Hartanto, Ryoichi Ishikawa, Menandro Roxas +1
In this paper, we present a method for simultaneous articulation model estimation and segmentation of an articulated object in RGB-D images using human hand motion. Our method uses…
LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
Ryoichi Ishikawa, Takeshi Oishi, Katsushi Ikeuchi
In this paper, we propose a method of targetless and automatic Camera-LiDAR calibration. Our approach is an extension of hand-eye calibration framework to 2D-3D calibration. By usi…
Offline and Online calibration of Mobile Robot and SLAM Device for Navigation
Ryoichi Ishikawa, Takeshi Oishi, Katsushi Ikeuchi
Robot navigation technology is required to accomplish difficult tasks in various environments. In navigation, it is necessary to know the information of the external environments a…