Kenji Koide
Scholar

Kenji Koide

Google Scholar ID: 4mIgBWYAAAAJ
National Institute of Advanced Industrial Science and Technology
roboticscomputer vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,881
 
H-index
15
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
9 items
KING: Embodiment-Aware Kinematic Graph Neural Network for Unified Motion Representation of Legged and Wheeled Robots
2026
Cited
0
Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling
2026
Cited
0
D-SLAMSpoof: An Environment-Agnostic LiDAR Spoofing Attack using Dynamic Point Cloud Injection
2026
Cited
0
MirrorDrift: Actuated Mirror-Based Attacks on LiDAR SLAM
2026
Cited
0
Tightly-Coupled LiDAR-IMU-Leg Odometry with Online Learned Leg Kinematics Incorporating Foot Tactile Information
2025
Cited
0
Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling
2025
Cited
0
Range-based 6-DoF Monte Carlo SLAM with Gradient-guided Particle Filter on GPU
2025
Cited
0
SLAMSpoof: Practical LiDAR Spoofing Attacks on Localization Systems Guided by Scan Matching Vulnerability Analysis
2025
Cited
0
Resume
Academic Achievements
  • Published numerous papers in top robotics venues including IEEE RA-L, ICRA, and IROS, such as:
  • - "Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping" (ICRA 2022)
  • - "Voxelized GICP for Fast and Accurate 3D Point Cloud Registration" (ICRA 2021)
  • - "General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox" (ICRA 2023)
  • - "Adaptive Hyper-Parameter Tuning for Black-box LiDAR Odometry" (IROS 2021)
  • - "Monocular Person Tracking and Identification with Online Deep Feature Selection" (RAS 2020)
  • - "Tightly-Coupled LiDAR-IMU-Wheel Odometry with an Online Neural Kinematic Model Learning" (Robotics and Autonomous Systems, 2025)
  • - Supervised student projects published at ICRA, IROS, and RA-L, e.g., 3D-BBS global localization (ICRA 2024), single-shot global localization (Advanced Robotics 2023)