Yuanfei Lin — accepted AI-conference papers

2024

DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models

Yuanfei Lin, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Matthias Althoff

RA-L 2024

Motion planners are essential for the safe operation of automated vehicles across various scenarios. However, no motion planning algorithm has achieved perfection in the literature, and improving its performance is often time-consuming and labor-intensive. To tackle the aforementioned issues, we pre

Cited by 13 Source ↗code ↗Scholar ↗

2023

Model Predictive Robustness of Signal Temporal Logic Predicates

Yuanfei Lin, Haoxuan Li, Matthias Althoff

RA-L 2023

The robustness of signal temporal logic not only assesses whether a signal adheres to a specification but also provides a measure of how much a formula is fulfilled or violated. The calculation of robustness is based on evaluating the robustness of underlying predicates. However, the robustness of p

Cited by 17 Source ↗Scholar ↗