16 citations · 18 across the 14 of their papers we have counts for
10 papers · 1 filter
Safe Autonomous Lane Changing: Planning with Dynamic Risk Fields and Time-Varying Convex Space Generation
Yijun Lu, Zhihao Lin, Zhen Tian
This paper presents a novel trajectory planning pipeline for complex driving scenarios like autonomous lane changing, by integrating risk-aware planning with guaranteed collision a…
Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
Zhen Tian, Fujiang Yuan, Yangfan He +7
Autonomous driving has attracted great interest due to its potential capability in full-unsupervised driving. Model-based and learning-based methods are widely used in autonomous d…
Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving
Fujiang Yuan, Zhen Tian, Yangfan He +4
In recent years, ensuring safety, efficiency, and comfort in interactive autonomous driving has become a critical challenge. Traditional model-based techniques, such as game-theore…
Scenario-based Decision-making Using Game Theory for Interactive Autonomous Driving: A Survey
Zhihao Lin, Zhen Tian
Game-based interactive driving simulations have emerged as versatile platforms for advancing decision-making algorithms in road transport mobility. While these environments offer s…
A Risk-aware Spatial-temporal Trajectory Planning Framework for Autonomous Vehicles Using QP-MPC and Dynamic Hazard Fields
Zhen Tian, Zhihao Lin, Dezong Zhao +5
Trajectory planning is a critical component in ensuring the safety, stability, and efficiency of autonomous vehicles. While existing trajectory planning methods have achieved progr…
Efficient and Safe Planner for Automated Driving on Ramps Considering Unsatisfication
Qinghao Li, Zhen Tian, Xiaodan Wang +2
Automated driving on ramps presents significant challenges due to the need to balance both safety and efficiency during lane changes. This paper proposes an integrated planner for…