Yoshihiro Sato — accepted AI-conference papers

2024

CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer

Lian Fu, Ryoichi Ishikawa, Yoshihiro Sato, Takeshi Oishi

ICRA 2024poster

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 estimation from a point cloud using Transformer. CAPT uses an end-to-end transformer-based architecture for joint parameter and…

Cited by 2 Source ↗Scholar ↗

2024

LiDAR-camera Calibration using Intensity Variance Cost

Ryoichi Ishikawa, Shuyi Zhou, Yoshihiro Sato, Takeshi Oishi, Katsushi Ikeuchi

ICRA 2024poster

We propose an extrinsic calibration method for LiDAR-camera fusion systems using variations in intensities projected from camera images to the LiDAR point cloud. As the input, the proposed method uses a sequence of LiDAR data and camera images captured while moving the system. Once the camera motion…

Cited by 2 Source ↗Scholar ↗