Masashi Yokozuka
Aerospace Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Geology — 6 citations into it
Whom Masashi Yokozuka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Masashi Yokozuka's perspective
Ordered by how strongly the researchers Masashi Yokozuka trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized-ICP (Robotics: Science and Systems Conference)
- Fast Point Feature Histograms (FPFH) for 3D registration
- Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT
- A 3-D Scan Matching using Improved 3-D Normal Distributions Transform for Mobile Robotic Mapping
- LOAM: Lidar Odometry and Mapping in Real-time (Robotics: Science and Systems Conference)
- The Perfect Match: 3D Point Cloud Matching With Smoothed Densities (Computer Vision and Pattern Recognition)
- AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
- A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry (IEEE/RJS International Conference on Intelligent RObots and Systems)
- SHOT: Unique signatures of histograms for surface and texture description (Computer Vision and Image Understanding)
- LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain (IEEE/RJS International Conference on Intelligent RObots and Systems)
Their papers
- Voxelized GICP for Fast and Accurate 3D Point Cloud Registration (2020) — 393 citations