|
|
| CARVIEW |
Select Language
Moments
Featured Publications
Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Vehicles
Real-time safe trajectory planning for autonomous vehicles in occluded environments is achieved through a contingency planner that โฆ
Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization
This framework introduces a consensus spatiotemporal safety barrier within a scenario tree structure to address potential hazards. โฆ
Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving
This research seamlessly integrates discrete decision-making maneuvers with continuous trajectory variables for safety-critical โฆ
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
This research proposes a computationally-efficient spatiotemporal receding horizon control (ST-RHC) scheme to generate a safe, โฆ
Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic
Present an integrated decision and trajectory planning approach for the autonomous vehicles to achieve high travel efficiency in โฆ
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update
We propose a learning-based tracking control scheme based on a feedback linearization controller in which uncertain disturbances are โฆ
Safe learning-based gradient-free model predictive control based on cross-entropy method
A safe and learning-based control framework for model predictive control is proposed to optimize nonlinear systems with a โฆ
Safe learning-based tracking control for quadrotors under wind disturbances
Enforcing safety on precise trajectory tracking is critical for aerial robotics subject to wind disturbances. In this paper, we present โฆ
Learning-Based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances
A learning-based MPFC control paradigm for nonlinear systems under uncertain disturbances, coupling a high-level model predictive path โฆ
Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
A learning-based safety-stability-driven control algorithm is presented to guarantee the safety and tracking stability for nonlinear โฆ
Recent Publications
Some publications i have recently published
(2025).
Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Vehicles.
In IEEE TCYB.
(2025).
Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization.
In IEEE TITS.
(2024).
Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving.
In IEEE TITS.
(2024).
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic.
In IEEE TIV.