Zobrazeno 1 - 10
of 5 411
pro vyhledávání: '"A Panayiotou"'
Autor:
Selvaraj, Dinesh Cyril, Vitale, Christian, Panayiotou, Tania, Kolios, Panayiotis, Chiasserini, Carla Fabiana, Ellinas, Georgios
In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep reinforcement learning (C-DRL). AA aims to safely emulate human driving to
Externí odkaz:
http://arxiv.org/abs/2407.02546
Autor:
Selvaraj, Dinesh Cyril, Vitale, Christian, Panayiotou, Tania, Kolios, Panayiotis, Chiasserini, Carla Fabiana, Ellinas, Georgios
Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In this work, we present a novel framework that detects preemptively col
Externí odkaz:
http://arxiv.org/abs/2404.14523
Autor:
Anastasiou, Andreas, Zacharia, Angelos, Papaioannou, Savvas, Kolios, Panayiotis, Panayiotou, Christos G., Polycarpou, Marios M.
This work introduces a cooperative inspection system designed to efficiently control and coordinate a team of distributed heterogeneous UAV agents for the inspection of 3D structures in cluttered, unknown spaces. Our proposed approach employs a two-s
Externí odkaz:
http://arxiv.org/abs/2404.12018
Autor:
Papaioannou, Savvas, Vitale, Christian, Kolios, Panayiotis, Panayiotou, Christos G., Polycarpou, Marios M.
Fault-tolerant coverage control involves determining a trajectory that enables an autonomous agent to cover specific points of interest, even in the presence of actuation and/or sensing faults. In this work, the agent encounters control inputs that a
Externí odkaz:
http://arxiv.org/abs/2404.09838
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices. Although recent advancements have improved traditional artificial intelligence (AI) approaches,
Externí odkaz:
http://arxiv.org/abs/2404.09877
A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, while ensuring the necessary quality-of-service (QoS) levels. An encoder
Externí odkaz:
http://arxiv.org/abs/2404.08314
Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, concept drift which refers to a change in the underlying data distribution
Externí odkaz:
http://arxiv.org/abs/2404.02572
In the contemporary digital landscape, the continuous generation of extensive streaming data across diverse domains has become pervasive. Yet, a significant portion of this data remains unlabeled, posing a challenge in identifying infrequent events s
Externí odkaz:
http://arxiv.org/abs/2403.03576
Autor:
Papaioannou, Savvas, Kolios, Panayiotis, Theocharides, Theocharis, Panayiotou, Christos G., Polycarpou, Marios M.
Publikováno v:
2023 62nd IEEE Conference on Decision and Control (CDC)
This work proposes a receding horizon coverage control approach which allows multiple autonomous aerial agents to work cooperatively in order cover the total surface area of a 3D object of interest. The cooperative coverage problem which is posed in
Externí odkaz:
http://arxiv.org/abs/2401.15674
An increasing number of models and frameworks for Virtual Assistant (VA) development exist nowadays, following the progress in the Natural Language Processing (NLP) and Natural Language Understanding (NLU) fields. Regardless of their performance, pop
Externí odkaz:
http://arxiv.org/abs/2310.02102