| An integrated shipment planning and storage capacity decision under uncertainty: A simulation study N Pujawan, MM Arief, B Tjahjono, D Kritchanchai Emerald, 2015 | 25 | 2015 |
| Modeling multi-vehicle interaction scenarios using gaussian random field Y Guo, VV Kalidindi, M Arief, W Wang, J Zhu, H Peng, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3974-3980, 2019 | 7 | 2019 |
| A versatile approach to evaluating and testing automated vehicles based on kernel methods Z Huang, Y Guo, M Arief, H Lam, D Zhao 2018 Annual American Control Conference (ACC), 4796-4802, 2018 | 7 | 2018 |
| Evaluation uncertainty in data-driven self-driving testing Z Huang, M Arief, H Lam, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1902-1907, 2019 | 3 | 2019 |
| Where Should We Place LiDARs on the Autonomous Vehicle?-An Optimal Design Approach Z Liu, M Arief, D Zhao 2019 International Conference on Robotics and Automation (ICRA), 2793-2799, 2019 | 3 | 2019 |
| An accelerated approach to safely and efficiently test pre-production autonomous vehicles on public streets M Arief, P Glynn, D Zhao 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 3 | 2018 |
| Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. HA Arief, M Arief, M Bhat, UG Indahl, H Tveite, D Zhao CVPR Workshops, 26-33, 2019 | 2 | 2019 |
| Synthesis of different autonomous vehicles test approaches Z Huang, M Arief, H Lam, D Zhao 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 1 | 2018 |
| An" Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles R Chen, M Arief, D Zhao arXiv preprint arXiv:1808.03089, 2018 | 1 | 2018 |
| SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data HA Arief, M Arief, G Zhang, Z Liu, M Bhat, UG Indahl, H Tveite, D Zhao IEEE Access 8, 131848-131858, 2020 | | 2020 |
| Labeling Roads with Different Types of Automated Driving Functional Requirements using Machine Learning D Zhao, M Xu, R Chen, M Arief, W Zhang, W Wang | | 2020 |
| Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao arXiv preprint arXiv:2006.15722, 2020 | | 2020 |
| How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach R Chen, M Arief, W Zhang, D Zhao IEEE Transactions on Intelligent Transportation Systems, 2020 | | 2020 |
| How to Evaluate Self-Driving Testing Ground? A Quantitative Approach R Chen, M Arief, W Zhang, D Zhao arXiv preprint arXiv:1909.09079, 2019 | | 2019 |
| Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation. Z Huang, M Arief, H Lam, D Zhao CoRR, 2019 | | 2019 |
| An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets. M Arief, P Glynn, D Zhao CoRR, 2018 | | 2018 |
| An integrated shipment planning and storage capacity decision under uncertainty SI Su, N Pujawan, MM Arief, B Tjahjono, D Kritchanchai International Journal of Physical Distribution & Logistics Management, 2015 | | 2015 |
| An Integrated Shipment Planning And Storage Capacity Decision: A Simulation Study MM Arief Institut Technology Sepuluh Nopember, 2014 | | 2014 |
Ding ZhaoAssistant Professor @ Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
