1 code implementation • 2 Jan 2024 • Alireza Shamsoshoara, Safin B Salih, Pedram Aghazadeh
In particular, this paper aims to improve the Travel Assist feature for automatic overtaking and lane changes on highways.
no code implementations • 15 Jun 2023 • Alireza Shamsoshoara, Fatemeh Lotfi, Sajad Mousavi, Fatemeh Afghah, Ismail Guvenc
The performance of this method is compared to learning from a demonstration technique called behavioral cloning (BC) using a supervised learning approach.
no code implementations • 2 Apr 2021 • Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch, Jonathan Ashdown, Mehdi Bennis
The damage to cellular towers during natural and man-made disasters can disturb the communication services for cellular users.
1 code implementation • 28 Dec 2020 • Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Liming Zheng, Peter Z Fulé, Erik Blasch
FLAME (Fire Luminosity Airborne-based Machine learning Evaluation) offers a dataset of aerial images of fires along with methods for fire detection and segmentation which can help firefighters and researchers to develop optimal fire management strategies.
no code implementations • 30 Oct 2020 • James Belen, Sajad Mousavi, Alireza Shamsoshoara, Fatemeh Afghah
The uncertainty is estimated by conducting multiple passes of the input through the network to build a distribution; the mean of the standard deviations is reported as the network's uncertainty.
no code implementations • 16 Jul 2020 • Mahsa Keshavarz, Alireza Shamsoshoara, Fatemeh Afghah, Jonathan Ashdown
Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and communication coverage extension.
1 code implementation • 26 Nov 2019 • Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Sajad Mousavi, Jonathan Ashdown, Kurt Turk
This paper studies the problem of spectrum shortage in an unmanned aerial vehicle (UAV) network during critical missions such as wildfire monitoring, search and rescue, and disaster monitoring.
2 code implementations • 16 Apr 2019 • Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah, Abolfazl Razi, Jonathan Ashdown, Kurt Turck
In this paper, we study the problem of spectrum scarcity in a network of unmanned aerial vehicles (UAVs) during mission-critical applications such as disaster monitoring and public safety missions, where the pre-allocated spectrum is not sufficient to offer a high data transmission rate for real-time video-streaming.