1 citations · 2 across the 5 of their papers we have counts for
5 papers
DB-VIO: Dual-Branch Visual Inertial Odometry with Enhanced Visual-Inertial Representation
Ziyu Wan, Lin Zhao
Visual inertial odometry (VIO) is essential for accurate 6-DoF motion estimation in mobile robotic systems. Recent learning-based VIO methods have shown promising progress, but the…
Incremental Policy Iteration for Unknown Nonlinear Systems with Stability and Performance Guarantees
Qingkai Meng, Fenglan Wang, Lin Zhao
This paper proposes a general incremental policy iteration adaptive dynamic programming (ADP) algorithm for model-free robust optimal control of unknown nonlinear systems. The appr…
DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion Models
Ziyu Wan, Lin Zhao
This paper proposes DiffPF, a differentiable particle filter that leverages diffusion models for state estimation in dynamic systems. Unlike conventional differentiable particle fi…
DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models
Ziyu Wan, Lin Zhao
This paper proposes the DnD Filter, a differentiable filter that utilizes diffusion models for state estimation of dynamic systems. Unlike conventional differentiable filters, whic…
Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
Ke Lu, Dongjun Li, Qun Wang +3
This paper presents a safe learning-based eco-driving framework tailored for mixed traffic flows, which aims to optimize energy efficiency while guaranteeing safety during real-sys…