2 code implementations • 28 Feb 2023 • Mohamed Nagy, Majid Khonji, Jorge Dias, Sajid Javed
The proposed solution enables superior performance under various distortion levels in detection over current state-of-art methods.
no code implementations • 6 Oct 2019 • Majid Khonji, Jorge Dias, Lakmal Seneviratne
Third, a planning subsystem that takes into account the uncertainty, from perception and intention recognition subsystems, and propagates all the way to control policies that explicitly bound the risk of collision.
no code implementations • 10 Apr 2022 • Majid Khonji
The fixed-horizon constrained Markov Decision Process (C-MDP) is a well-known model for planning in stochastic environments under operating constraints.
no code implementations • 3 Oct 2022 • Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian Williams
In this paper, we propose a risk-aware intelligent intersection system for autonomous vehicles (AVs) as well as human-driven vehicles (HVs).
no code implementations • 29 Nov 2022 • Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique
A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data.
no code implementations • 25 Feb 2023 • Rashid Alyassi, Majid Khonji
The Constrained Stochastic Shortest Path problem (C-SSP) is a formalism for planning in stochastic environments under certain types of operating constraints.
no code implementations • 18 May 2023 • Bushra Alshehhi, Areg Karapetyan, Khaled Elbassioni, Sid Chi-Kin Chau, Majid Khonji
With the electrification of transportation, the rising uptake of electric vehicles (EVs) might stress distribution networks significantly, leaving their performance degraded and stability jeopardized.
no code implementations • 28 May 2023 • Eyad Shaklab, Areg Karapetyan, Arjun Sharma, Murad Mebrahtu, Mustofa Basri, Mohamed Nagy, Majid Khonji, Jorge Dias
To address the hurdles faced by existing robotic couriers, this paper introduces a customer-centric and safety-conscious LMD system for small urban communities based on AI-assisted autonomous delivery robots.