6 citations · 11 across the 4 of their papers we have counts for
4 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…
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,…