PhD Candidate in Visual SLAM and Multimodal Perception for Robotics
CNRS-AIST Joint Robotics Laboratory (Japan) & UPJV-MIS (France)
CNRS-AIST JRL (Japan) / UPJV-MIS (France) — PhD Researcher (2022–Present)
- Designed and implemented multimodal RGB–IR–Depth SLAM pipelines, improving robustness in low-texture or degraded-visibility conditions.
- Developed a camera model conversion framework enabling interoperability between pinhole, fisheye, and catadioptric systems. Integrated into the open-source libPeR library.
- Led the experimental validation campaign from calibration to dataset recording, creating the public CD-MaJ Dataset and WAIr-JaM Dataset for SLAM benchmarking.
UPJV (France) – Dept. of Electronics & Automation — Teaching Assistant (2023)
- Taught robotic cell labs using Stäubli and Fanuc robots (programming, safety, real-time execution).
INSA Rennes (France) / CNRS-AIST JRL (Japan) — Research Internship (2022)
- SLAM for Multi-Camera HDR Vision: designed and validated SLAM algorithms for panoramic multi-camera setups.
- Conducted field trials using a robotic wheelchair for performance evaluation.
E-COBOT (France) — Cobotics Internship (2021)
- Designed and validated embedded circuits for collaborative mobile robots.
Tecdron (France) — Robotics Internship (2020)
- Participated in assembly and testing of firefighting robots under high-risk conditions.
-
Linear Conversions of Nonlinear Camera Models for Robotic Vision Applications
Robotics and Autonomous Systems (RAS), accepted Oct 2025.
Extension of ICRA 2024 work to additional projection models and SLAM applications.
⟨hal-05321882⟩ -
On Camera Model Conversions
IEEE ICRA 2024, pp. 12262–12268.
Unified framework for conversions between pinhole, fisheye, and catadioptric models.
doi:10.1109/ICRA57147.2024.10610009 -
Évaluation de localisation et cartographie simultanées de robot mobile par caméra couleur-profondeur embarquée
ORASIS 2023, Carqueiranne, France.
⟨hal-04219455⟩
🏆 Best Poster Award — JRDA 2023
📷 Finalist — “Hidden Beauty of Science” Photography Contest (Embassy of France in Japan)
🧩 Reviewer — IEEE Robotics and Automation Letters (RA-L)
PhD in Computer Vision & Robotics — UPJV / CNRS-AIST JRL (2022–Present)
Thesis: Comprehensive Integration and Exploitation of Multimodal Camera Data in Visual SLAM
Supervisors: G. Caron, P. Vasseur, F. Kanehiro
Master in Imaging, Robotics & Life Engineering — Telecom Physics Strasbourg (2021–2022)
Engineering Degree in Electrical Engineering — INSA Strasbourg (2019–2022)
- Robotics & SLAM: Real-time SLAM, Multi-sensor Fusion, StellaVSLAM, ROS 1 & 2, OptiTrack, Azure Kinect DK
- Programming: Python, C++, OpenCV, MATLAB, libPeR
- Computer Vision: Camera Ét alonnage, Optical Model Conversion, RGB-D & Infrared Cameras
- Hardware Integration: UAVs, Rovers, Embedded Electronics, Sensor Mounting
- Field Deployment: Robotic experiments in Japan and France
| Name | Type | Description | Access |
|---|---|---|---|
| libPeR | Repository | Linear conversions between nonlinear camera models | Public |
| photo_contest | Repository | Hidden Beauty of Science (Embassy of France, Japan) | Public |
📫 Contact
eva.goichon@outlook.fr · LinkedIn
