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ORCIDMansur Arief
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2020 – today
- 2024
[c12]Isaac R. Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, Mykel J. Kochenderfer:
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CBMS 2024: 192-198- [i12]Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer:
Diffusion-Based Failure Sampling for Cyber-Physical Systems. CoRR abs/2406.14761 (2024) - [i11]Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer:
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR abs/2407.15839 (2024) - 2023
- [j3]Wenhao Ding
, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24(7): 6971-6988 (2023) - [i10]Abhibha Gupta, Rully Agus Hendrawan, Mansur Arief:
Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer. CoRR abs/2309.08851 (2023) - 2022
- [c11]Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, Ding Zhao:
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS). ITSC 2022: 1736-1742 - [c10]Muhammad Ziyad, Kenrick Tjandra, Zulvah, Mushonnifun Faiz Sugihartanto, Mansur Arief:
An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine. ITSC 2022: 2057-2062 - [c9]Nissa Amilia, Zulkifli Palinrungi, Iwan Vanany, Mansur Arief:
Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case study from Indonesia. ITSC 2022: 2812-2817 - [i9]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR abs/2202.02215 (2022) - [i8]Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Henry Lam, Bo Li, Ding Zhao:
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling. CoRR abs/2204.02351 (2022) - 2021
- [j2]Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao:
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. IEEE Trans. Intell. Transp. Syst. 22(9): 5737-5748 (2021) - [c8]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. AISTATS 2021: 595-603 - 2020
- [j1]Hasan Asy'ari Arief, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data. IEEE Access 8: 131848-131858 (2020) - [i7]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. CoRR abs/2006.15722 (2020)
2010 – 2019
- 2019
- [c7]Hasan Asy'ari Arief, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. CVPR Workshops 2019: 26-33 - [c6]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. ICRA 2019: 2793-2799 - [c5]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Evaluation Uncertainty in Data-Driven Self-Driving Testing. ITSC 2019: 1902-1907 - [c4]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC 2019: 3974-3980 - [i6]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation. CoRR abs/1904.09306 (2019) - [i5]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR abs/1906.10307 (2019) - [i4]Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao:
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. CoRR abs/1909.09079 (2019) - 2018
- [c3]Zhiyuan Huang, Yaohui Guo, Mansur Arief, Henry Lam, Ding Zhao:
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods. ACC 2018: 4796-4802 - [c2]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Synthesis of Different Autonomous Vehicles Test Approaches. ITSC 2018: 2000-2005 - [c1]Mansur Arief, Peter W. Glynn, Ding Zhao:
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets. ITSC 2018: 2006-2011 - [i3]Mansur Arief, Peter W. Glynn, Ding Zhao:
An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets. CoRR abs/1805.02114 (2018) - [i2]Rui Chen, Mansur Arief, Ding Zhao:
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles. CoRR abs/1808.03089 (2018) - [i1]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. CoRR abs/1809.05845 (2018)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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