Ryosuke Shibasaki

About

Ryosuke Shibasaki is a leading researcher in intelligent perception and autonomous navigation, with a primary focus on multi-modal tracking, trajectory prediction, and SLAM (Simultaneous Localization and Mapping). His pioneering work on laser-based people tracking in crowded environments, notably his 2006 paper with 79 citations, established foundational methods for extracting and following individuals amidst complex, interlaced sensor data. Shibasaki’s major contributions include developing robust frameworks that fuse laser scanners with video cameras for multi-modal tracking (65 citations) and integrating GPS with visual SLAM using rigorous sensor models for panoramic cameras (42 citations), advancing accurate localization in outdoor settings. More recently, he has driven innovation in deep learning for autonomous systems, addressing multimodal interaction-aware trajectory prediction in crowded spaces (28 citations) and applying self-driving car technology to agricultural workplaces via the JetBot platform (10 citations). His work on meta-learning for cross-scene trajectory prediction (9 citations) and interpretable social interaction modeling (8 citations) further underscores his impact on safe navigation for autonomous vehicles and robots. With over 290 citations across his top papers, Shibasaki’s research continues to shape intelligent surveillance, robotics, and autonomous driving.

Research Focus

Key Achievements

Top Papers

1. 1
   Laser-based detection and tracking of multiple people in crowds

   79 citations · 2006
2. 2
   Multi-modal tracking of people using laser scanners and video camera

   65 citations · 2007
3. 3
   GPS-Supported Visual SLAM with a Rigorous Sensor Model for a Panoramic Camera in Outdoor Environments

   42 citations · 2012
4. 4
   Multimodal Interaction-Aware Trajectory Prediction in Crowded Space

   28 citations · 2020
5. 5
   Laser-based Interacting People Tracking Using Multi-level Observations

   28 citations · 2006
6. 6
   Robust Tracking of Multiple People in Crowds Using Laser Range Scanners

   23 citations · 2006
7. 7
   Deep Learning-Based Self-Driving Car: JetBot with NVIDIA AI Board to Deliver Items at Agricultural Workplace with Object-Finding and Avoidance Functions

   10 citations · 2020
8. 8
   MetaTraj: Meta-Learning for Cross-Scene Cross-Object Trajectory Prediction

   9 citations · 2023
9. 9
   Modeling interpretable social interactions for pedestrian trajectory

   8 citations · 2024

Key Collaborators

Contact & Links