Mansur Arief

According to our database, Mansur Arief authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments.

Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer

CoRR, 2024

Diffusion-Based Failure Sampling for Cyber-Physical Systems.

Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer

CoRR, 2024

Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics.

Isaac R. Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, Mykel J. Kochenderfer

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.

Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2023

Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer.

Abhibha Gupta, Rully Agus Hendrawan, Mansur Arief

CoRR, 2023

2022

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.

Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Henry Lam, Bo Li, Ding Zhao

CoRR, 2022

An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine.

Muhammad Ziyad, Kenrick Tjandra, Zulvah, Mushonnifun Faiz Sugihartanto, Mansur Arief

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).

Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, Ding Zhao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case study from Indonesia.

Nissa Amilia, Zulkifli Palinrungi, Iwan Vanany, Mansur Arief

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach.

Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2021

Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems.

Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy.

Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao

CoRR, 2020

SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data.

Hasan Asy'ari Arief, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao

IEEE Access, 2020

2019

Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation.

Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao

CoRR, 2019

Evaluation Uncertainty in Data-Driven Self-Driving Testing.

Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.

Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach.

Zuxin Liu, Mansur Arief, Ding Zhao

Proceedings of the International Conference on Robotics and Automation, 2019

Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications.

Hasan Asy'ari Arief, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles.

Rui Chen, Mansur Arief, Ding Zhao

CoRR, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets.

Mansur Arief, Peter W. Glynn, Ding Zhao

CoRR, 2018

Synthesis of Different Autonomous Vehicles Test Approaches.

Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets.

Mansur Arief, Peter W. Glynn, Ding Zhao

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.

Zhiyuan Huang, Yaohui Guo, Mansur Arief, Henry Lam, Ding Zhao

Proceedings of the 2018 Annual American Control Conference, 2018