16 citations · 17 across the 8 of their papers we have counts for
9 papers
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…
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…
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…