THU AI Testing
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AutoScenario
AutoScenario PublicA Multimodal Large Language Model–Driven Framework for Generating Corner Cases in Autonomous Vehicle Testing Using Real-World Data
Python 1
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PMCT-master
PMCT-master PublicThis project contains the source code for the paper titled "A Provable Safety Metric for Autonomous Driving via Deep Reinforcement Learning and PAC Verification". We propose a real-time automonous …
Python 1
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Adaptive-Testing-SCV
Adaptive-Testing-SCV PublicThis project contains the source code and data for the paper titled "Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates".
Jupyter Notebook 1
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Adaptive-Testing-DenseRL
Adaptive-Testing-DenseRL PublicThis project contains the source code and data for the paper titled "Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning".
Jupyter Notebook 1
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Adaptive-Testing-AIS
Adaptive-Testing-AIS PublicThis project contains the source code and data for the paper titled "Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling".
Jupyter Notebook 1
Repositories
- Adaptive-Testing-AIS Public
This project contains the source code and data for the paper titled "Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling".
THU-AI-Testing/Adaptive-Testing-AIS’s past year of commit activity - Adaptive-Testing-SCV Public
This project contains the source code and data for the paper titled "Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates".
THU-AI-Testing/Adaptive-Testing-SCV’s past year of commit activity - Adaptive-Testing-DenseRL Public
This project contains the source code and data for the paper titled "Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning".
THU-AI-Testing/Adaptive-Testing-DenseRL’s past year of commit activity - AutoScenario Public
A Multimodal Large Language Model–Driven Framework for Generating Corner Cases in Autonomous Vehicle Testing Using Real-World Data
THU-AI-Testing/AutoScenario’s past year of commit activity - PMCT-master Public
This project contains the source code for the paper titled "A Provable Safety Metric for Autonomous Driving via Deep Reinforcement Learning and PAC Verification". We propose a real-time automonous driving safety metric called Provable Minimum Collision Time (PMCT) that provably predict the minimum time to collision from the inputed initial state.
THU-AI-Testing/PMCT-master’s past year of commit activity
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