Atsuhiko Banno

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

Whom Atsuhiko Banno trusts

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

  1. Davide Scaramuzza (in Computer Vision and Pattern Recognition)
  2. Zichao Zhang (in Aerospace Engineering)
  3. Giorgio Grisetti (in Aerospace Engineering)
  4. Jacopo Serafin (in Aerospace Engineering)

Papers from Atsuhiko Banno's perspective

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

  1. Generalized-ICP (Robotics: Science and Systems Conference)
  2. Fast Point Feature Histograms (FPFH) for 3D registration
  3. A 3-D Scan Matching using Improved 3-D Normal Distributions Transform for Mobile Robotic Mapping
  4. Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT
  5. LOAM: Lidar Odometry and Mapping in Real-time (Robotics: Science and Systems Conference)
  6. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
  7. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry (IEEE/RJS International Conference on Intelligent RObots and Systems)
  8. The Perfect Match: 3D Point Cloud Matching With Smoothed Densities (Computer Vision and Pattern Recognition)
  9. SHOT: Unique signatures of histograms for surface and texture description (Computer Vision and Image Understanding)
  10. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain (IEEE/RJS International Conference on Intelligent RObots and Systems)

Their papers