TIO-Former: Ultra-Lightweight 6-Directional ToF-Inertial Odometry for Nano-UAVs via a Streaming Causal Transformer
cs.RO
Submitted: 2026-09-15
Updated: 2026-09-17
Code: https://github.com/Ly041021/TIO-Former
Terminology
Sources
- AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability
- AI-IO: An Aerodynamics-Inspired Real-Time Inertial Odometry for Quadrotors
- Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving