19 citations · 28 across the 7 of their papers we have counts for
10 papers
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…