most citedA Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts

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

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6 papers · 1 filter

cs.RO2025

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…

cs.RO2025★ 1 cited

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2024

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…

cs.RO2024★ 16 cited

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…