Nobuo Kawaguchi

Aerospace Engineering · 2004–2018

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Geology — 6 citations into it

Whom Nobuo Kawaguchi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radu Bogdan Rusu
2. Ji Zhang

Papers from Nobuo Kawaguchi's perspective

Ordered by how strongly the researchers Nobuo Kawaguchi trusts endorse each paper. Same corpus, a different order for every researcher.

1. 3D is here: Point Cloud Library (PCL)
2. Efficient RANSAC for Point‐Cloud Shape Detection
3. Vision meets robotics: The KITTI dataset
4. LOAM: Lidar Odometry and Mapping in Real-time (Robotics: Science and Systems Conference)
5. Junior: The Stanford entry in the Urban Challenge
6. Fast segmentation of 3D point clouds for ground vehicles
7. Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
8. RAPter
9. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
10. Fast segmentation of 3D point clouds: A paradigm on LiDAR data for autonomous vehicle applications (IEEE International Conference on Robotics and Automation)

Their papers

• A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles (2018) — 88 citations
• Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data (2016) — 17 citations
• CIAIR Simultaneous Interpretation Corpus (2004) — 22 citations