19 citations · 38 across the 7 of their papers we have counts for
10 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…
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…