16 citations · 18 across the 14 of their papers we have counts for
16 papers
Priority Coordination Games: Hodge Decomposition and a Sharp Design Limit
Zhihao Lin, Jianglin Lan, Anh-Tu Nguyen +1
In decentralised priority coordination, agents announce priority levels and a shared resource serves them in decreasing order, as at an unsignalised intersection; the levels form t…
PrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore
Zhihao Lin, Lin Wu, Zhen Tian +1
Exploration in reinforcement learning remains a critical challenge, as naive entropy maximization often results in high variance and inefficient policy updates. We introduce \textb…
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…
Adaptive Evolutionary Framework for Safe, Efficient, and Cooperative Autonomous Vehicle Interactions
Yijun Lu, Zhen Tian, Zhihao Lin
Modern transportation systems face significant challenges in ensuring road safety, given serious injuries caused by road accidents. The rapid growth of autonomous vehicles (AVs) ha…
Hierarchical Multi-Agent MCTS for Safety-Critical Coordination in Mixed-Autonomy Roundabouts
Zhihao Lin, Jianglin Lan, Shuo Liu +3
Navigating unsignalized roundabouts in mixed-autonomy traffic presents significant challenges due to dense vehicle interactions, lane-changing complexities, and behavioral uncertai…
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…
Data-Driven Evolutionary Game-Based Model Predictive Control for Hybrid Renewable Energy Dispatch in Autonomous Ships
Yaoze Liu, Zhen Tian, Jinming Yang +1
In this paper, we propose a data-driven Evolutionary Game-Based Model Predictive Control (EG-MPC) framework for the energy dispatch of a hybrid renewable energy system powering an…
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads
Qinghao Li, Zhen Tian, Xiaodan Wang +2
Autonomous driving has garnered significant attention for its potential to improve safety, traffic efficiency, and user convenience. However, the dynamic and complex nature of inte…
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Zhen Tian, Zhihao Lin, Dezong Zhao +4
Autonomous vehicles (AVs) can significantly promote the advances in road transport mobility in terms of safety, reliability, and decarbonization. However, ensuring safety and effic…
Enhanced Visual SLAM for Collision-free Driving with Lightweight Autonomous Cars
Zhihao Lin, Zhen Tian, Qi Zhang +2
The paper presents a vision-based obstacle avoidance strategy for lightweight self-driving cars that can be run on a CPU-only device using a single RGB-D camera. The method consist…
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
Zhihao Lin, Zhen Tian, Jianglin Lan +4
Safety and efficiency are crucial for autonomous driving in roundabouts, especially mixed traffic with both autonomous vehicles (AVs) and human-driven vehicles. This paper presents…
An Earth Rover dataset recorded at the ICRA@40 party
Qi Zhang, Zhihao Lin, Arnoud Visser
The ICRA conference is celebrating its anniversary in Rotterdam in September 2024, with as highlight the Happy Birthday ICRA Party at the iconic Holland America Line Crui…