Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Moustafa, A. N."'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
Conditional imitation learning (CIL) trains deep neural networks, in an end-to-end manner, to mimic human driving. This approach has demonstrated suitable vehicle control when following roads, avoiding obstacles, or taking specific turns at intersect
Externí odkaz:
http://arxiv.org/abs/2211.11579
Autor:
Moustafa, Marwa N.1 marwamoustafa931@gmail.com
Publikováno v:
Egyptian Academic Journal of Biological Sciences. A, Entomology. Jun2024, Vol. 17 Issue 2, p13-24. 12p.
Autor:
Mohamed, Amr S., Abdelkader, Ali, Anany, Mohamed, El-Behady, Omar, Faisal, Muhammad, Hangal, Asser, Eraqi, Hesham M., Moustafa, Mohamed N.
LiDARs and cameras are the two main sensors that are planned to be included in many announced autonomous vehicles prototypes. Each of the two provides a unique form of data from a different perspective to the surrounding environment. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2108.07661
Face Presentation Attack Detection (PAD) has drawn increasing attentions to secure the face recognition systems that are widely used in many applications. Conventional face anti-spoofing methods have been proposed, assuming that testing is from the s
Externí odkaz:
http://arxiv.org/abs/2102.06864
Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iris recognition instead of passwords. In this paper, we survey the appro
Externí odkaz:
http://arxiv.org/abs/2004.12040
Publikováno v:
Journal of Advanced Transportation, Machine Learning in Transportation (MLT) Issue, 2019
The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years. Nearly fifth of these accidents are caused by distracted drivers.
Externí odkaz:
http://arxiv.org/abs/1901.09097
Autor:
Moustafa, Marwa N.1 marwanabil78@hotmail.com
Publikováno v:
Egyptian Academic Journal of Biological Sciences. A, Entomology. Dec2023, Vol. 16 Issue 4, p163-171. 9p.
Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to training artificial neural networks from front-facing camera data stream along with the associated steering angles. Nevertheles
Externí odkaz:
http://arxiv.org/abs/1710.03804
Publikováno v:
32nd Conference on Neural Information Processing Systems (NIPS 2018), Workshop on Machine Learning for Intelligent Transportation Systems
In this paper, we present a new dataset for "distracted driver" posture estimation. In addition, we propose a novel system that achieves 95.98% driving posture estimation classification accuracy. The system consists of a genetically-weighted ensemble
Externí odkaz:
http://arxiv.org/abs/1706.09498
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