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Haneen Farah
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2020 – today
- 2024
- [c6]Gabriel Rodrigues de Campos, Alessia Knauss, Nikita Tanov, David Mano, Bram Bakker, Haneen Farah, Yufei Yuan, Stefan Andersson:
Towards self-aware vehicle automation for improved usability and safer automation mediation. IV 2024: 3289-3296 - [i6]Siri Hegna Berge, Joost C. F. de Winter, Dimitra Dodou, Amir Pooyan Afghari, Eleonora Papadimitriou, Nagarjun Reddy, Yongqi Dong, Narayana Raju, Haneen Farah:
Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews. CoRR abs/2408.10064 (2024) - 2023
- [j7]Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah:
A hybrid spatial-temporal deep learning architecture for lane detection. Comput. Aided Civ. Infrastructure Eng. 38(1): 67-86 (2023) - [j6]Haneen Farah, Johan Janson Olstam, Zuduo Zheng:
Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and Efficiency. IEEE Trans. Intell. Transp. Syst. 24(6): 6432-6435 (2023) - [j5]Haneen Farah, Ivan Postigo, Nagarjun Reddy, Yongqi Dong, Clas Rydergren, Narayana Raju, Johan Janson Olstam:
Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. IEEE Trans. Intell. Transp. Syst. 24(6): 6558-6574 (2023) - [c5]Yan Feng, Haneen Farah, Bart van Arem:
Effect of eHMI on pedestrian road crossing behavior in shared space with Automated Vehicles - A Virtual Reality study. ITSC 2023: 2038-2043 - [c4]Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov:
Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach. ITSC 2023: 5925-5931 - [c3]Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Haneen Farah, Yongqi Dong:
Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning. ITSC 2023: 6074-6079 - [c2]Li Zhang, Yongqi Dong, Haneen Farah, Bart van Arem:
Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study. SMC 2023: 3297-3304 - [i5]Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov:
A cognitive process approach to modeling gap acceptance in overtaking. CoRR abs/2306.05203 (2023) - [i4]Yan Feng, Haneen Farah, Bart van Arem:
Effect of eHMI on pedestrian road crossing behavior in shared space with Automated Vehicles-A Virtual Reality study. CoRR abs/2308.05654 (2023) - [i3]Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah:
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. CoRR abs/2312.04398 (2023) - [i2]Lanxin Zhang, Yongqi Dong, Haneen Farah, Arkady Zgonnikov, Bart van Arem:
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. CoRR abs/2312.04610 (2023) - 2022
- [j4]Yiyun Wang, Rongjie Yu, Shuhan Qiu, Jian Sun, Haneen Farah:
Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach. IEEE Trans. Intell. Transp. Syst. 23(12): 23809-23820 (2022) - 2021
- [j3]Juan Pablo Núñez Velasco, Anouk de Vries, Haneen Farah, Bart van Arem, Marjan P. Hagenzieker:
Cyclists' Crossing Intentions When Interacting with Automated Vehicles: A Virtual Reality Study. Inf. 12(1): 7 (2021) - [j2]Haneen Farah, Shubham Bhusari, Paul Van Gent, Freddy Antony Mullakkal Babu, Peter Morsink, Riender Happee, Bart van Arem:
An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures. IEEE Trans. Intell. Transp. Syst. 22(5): 2589-2598 (2021) - [i1]Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah:
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection. CoRR abs/2110.04079 (2021)
2010 – 2019
- 2017
- [j1]Luís Moreira-Matias, Haneen Farah:
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders. IEEE Trans. Intell. Transp. Syst. 18(9): 2387-2396 (2017) - 2015
- [c1]Carlos Lima Azevedo, Haneen Farah:
Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres. ITSC 2015: 268-273
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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