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Panagiotis Angeloudis
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2020 – today
- 2024
- [j13]Yuhuan Li
, Shaowu Cheng
, Yuxiang Feng
, Yaping Zhang, Panagiotis Angeloudis, Mohammed A. Quddus, Washington Yotto Ochieng:
Developing a novel approach in estimating urban commute traffic by integrating community detection and hypergraph representation learning. Expert Syst. Appl. 249: 123790 (2024) - [i14]Hanlin Tian, Kethan Reddy, Yuxiang Feng, Mohammed A. Quddus, Yiannis Demiris
, Panagiotis Angeloudis:
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation. CoRR abs/2404.08570 (2024) - [i13]Kethan Reddy, Elias Nassif, Panagiotis Angeloudis, Mohammed A. Quddus, Washington Ochieng:
Towards a Universal Evaluation Model for Careful and Competent Autonomous Driving. CoRR abs/2407.15596 (2024) - 2023
- [j12]Eduardo Candela
, Olivier Doustaly, Leandro Parada, Felix Feng, Yiannis Demiris
, Panagiotis Angeloudis:
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning. Artif. Intell. 320: 103923 (2023) - [j11]Yingji Xia
, Maosi Geng, Yong Chen, Sudan Sun, Chenlei Liao, Zheng Zhu, Zhihui Li, Washington Yotto Ochieng, Panagiotis Angeloudis, Mireille Elhajj, Lei Zhang, Zhenyu Zeng, Bing Zhang, Ziyou Gao, Xiqun Michael Chen
:
Understanding common human driving semantics for autonomous vehicles. Patterns 4(7): 100730 (2023) - [j10]Xingchen Zhang
, Panagiotis Angeloudis, Yiannis Demiris
:
Dual-branch spatio-temporal graph neural networks for pedestrian trajectory prediction. Pattern Recognit. 142: 109633 (2023) - [j9]Qiming Ye
, Yuxiang Feng
, Jose Javier Escribano Macias, Marc Stettler
, Panagiotis Angeloudis
:
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(2): 2024-2034 (2023) - [j8]Simon Hu
, Yin Ye, Qinru Hu
, Xin Liu, Shaosheng Cao
, Howard H. Yang
, Yongdong Shen, Panagiotis Angeloudis
, Leandro Parada, Chao Wu
:
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. 72(11): 14002-14015 (2023) - [c22]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. AAMAS 2023: 2916-2918 - [c21]Elias Nassif, Hanlin Tian, Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis, Washington Yotto Ochieng:
Safety Standards for Autonomous Vehicles: Challenges and Way Forward. ITSC 2023: 3004-3009 - [c20]Yuxiang Feng, Qiming Ye, Fahmy Adan, Luís Marques, Panagiotis Angeloudis:
Driving Style Classification Using Deep Temporal Clustering with Enhanced Explainability. ITSC 2023: 4040-4045 - [c19]Fahmy Adan, Yuxiang Feng, Panagiotis Angeloudis, Mohammed Quddus, Washington Ochieng:
Constrained Multi-Agent Reinforcement Learning Policies for Cooperative Intersection Navigation and Traffic Compliance. ITSC 2023: 4079-4085 - [c18]Hamish Scott, Lorenzo Niccolini, Chess Stetson, Nils Goldbeck, Ioannis Souflas, Noyan Songur, Alireza Ahrabian, Eduardo Candela, Panagiotis Angeloudis:
Scenario Gym: A Scenario-Centric Lightweight Simulator. ITSC 2023: 5216-5222 - [c17]Yubin Liu, Keyang Zhang, Jose Escribano Macias, Panagiotis Angeloudis:
Quantifying the Capability of Autonomous Robot-Assisted Distribution in Last-Mile: Insight from Rural to Urban Configurations. ITSC 2023: 5460-5467 - [c16]Kenta Matsui, Jose Escribano Macias, Panagiotis Angeloudis:
Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning. ITSC 2023: 5468-5475 - [c15]Leandro Parada, Hanlin Tian, Jose Escribano Macias, Panagiotis Angeloudis:
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. ITSC 2023: 5548-5554 - [c14]Run Hu, Zheyi Tang, Qinru Hu, Xiaoxiang Na, Panagiotis Angeloudis, Der-Horng Lee, Simon Hu:
Bi-Level Programming Approach for Optimal Charging Station Location and Traffic Assignment in Electric Autonomous Vehicle Systems. ITSC 2023: 6013-6018 - [i12]Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias, Marc Stettler, Panagiotis Angeloudis:
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning. CoRR abs/2303.12289 (2023) - [i11]Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis:
Probabilistic Planning for Maritime Search and Rescue. CoRR abs/2306.03871 (2023) - 2022
- [j7]Renos Karamanis
, Eleftherios Anastasiadis, Marc Stettler
, Panagiotis Angeloudis
:
Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows. IEEE Trans. Intell. Transp. Syst. 23(8): 10287-10298 (2022) - [j6]Xingchen Zhang
, Yuxiang Feng
, Panagiotis Angeloudis
, Yiannis Demiris
:
Monocular Visual Traffic Surveillance: A Review. IEEE Trans. Intell. Transp. Syst. 23(9): 14148-14165 (2022) - [j5]Xingchen Zhang
, Panagiotis Angeloudis
, Yiannis Demiris
:
ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-Based Pedestrian Crossing Intention Prediction. IEEE Trans. Intell. Transp. Syst. 23(11): 20773-20782 (2022) - [c13]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
The Competition and Inefficiency in Urban Road Last-Mile Delivery. AAMAS 2022: 1473-1481 - [c12]Jose Escribano Macias
, Huan Chang, Panagiotis Angeloudis
:
Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery. ICCL 2022: 198-213 - [c11]Eduardo Candela, Leandro Parada, Luís Marques, Tiberiu-Andrei Georgescu, Yiannis Demiris
, Panagiotis Angeloudis:
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. IROS 2022: 8814-8820 - [c10]Alastair Shipman, Daniel Mead, Yuxiang Feng
, José Escribano, Panagiotis Angeloudis, Yiannis Demiris
:
Novel trajectory prediction algorithm using a full dataset: comparison and ablation studies. ITSC 2022: 2401-2406 - [c9]Qiming Ye, Yuxiang Feng
, Jingshuo Qiu, Marc Stettler
, Panagiotis Angeloudis:
Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning. ITSC 2022: 2628-2633 - [i10]Eduardo Candela, Leandro Parada, Luís Marques, Tiberiu-Andrei Georgescu, Yiannis Demiris, Panagiotis Angeloudis:
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. CoRR abs/2203.11653 (2022) - [i9]Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias, Panagiotis Angeloudis:
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. CoRR abs/2203.11658 (2022) - [i8]Yubin Liu, Qiming Ye, Jose Escribano Macias, Yuxiang Feng, Panagiotis Angeloudis:
Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach. CoRR abs/2209.04265 (2022) - [i7]Leandro Parada, Eduardo Candela, Luís Marques, Panagiotis Angeloudis:
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation. CoRR abs/2210.17381 (2022) - 2021
- [j4]Renos Karamanis
, Eleftherios Anastasiadis
, Panagiotis Angeloudis
, Marc Stettler
:
Assignment and Pricing of Shared Rides in Ride-Sourcing Using Combinatorial Double Auctions. IEEE Trans. Intell. Transp. Syst. 22(9): 5648-5659 (2021) - [c8]Eduardo Candela, Yuxiang Feng
, Daniel Mead, Yiannis Demiris
, Panagiotis Angeloudis
:
Fast Collision Prediction for Autonomous Vehicles using a Stochastic Dynamics Model. ITSC 2021: 211-216 - [c7]Junyi Li
, Kaihang Zhang
, Loutao Shen, Zhebing Wang, Fangce Guo
, Panagiotis Angeloudis
, Xiqun Michael Chen, Simon Hu
:
A Domain Adaptation Framework for Short-term Traffic Prediction. ITSC 2021: 3564-3569 - [i6]Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis, Yiannis Demiris:
Quantitative Risk Indices for Autonomous Vehicle Training Systems. CoRR abs/2104.12945 (2021) - [i5]Yubin Liu, Qiming Ye, Yuxiang Feng, Jose Escribano Macias, Panagiotis Angeloudis:
Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. CoRR abs/2110.15485 (2021) - [i4]Qiming Ye, Yuxiang Feng, Jing Han, Marc Stettler, Panagiotis Angeloudis:
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study. CoRR abs/2112.05434 (2021) - 2020
- [j3]Jose Escribano Macias
, Nils Goldbeck, Pei-Yuan Hsu, Panagiotis Angeloudis
, Washington Ochieng:
Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles. OR Spectr. 42(4): 1089-1125 (2020) - [c6]Qiming Ye
, Simon M. Stebbins
, Yuxiang Feng
, Eduardo Candela, Marc Stettler
, Panagiotis Angeloudis
:
Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era. ITSC 2020: 1-7 - [i3]Renos Karamanis, Eleftherios Anastasiadis, Marc Stettler, Panagiotis Angeloudis:
Vehicle Redistribution in Ride-Sourcing Markets using Convex Minimum Cost Flows. CoRR abs/2006.07919 (2020) - [i2]Renos Karamanis, He-in Cheong, Simon Hu, Marc Stettler, Panagiotis Angeloudis:
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. CoRR abs/2011.11085 (2020)
2010 – 2019
- 2019
- [j2]Nils Goldbeck
, Panagiotis Angeloudis
, Washington Yotto Ochieng:
Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. Reliab. Eng. Syst. Saf. 188: 62-79 (2019) - [c5]Qingyun Liu, Simon Hu
, Panagiotis Angeloudis
, Yibing Wang, Lihui Zhang, Qiang Yang, Yongfu Li
:
Simulation and Evaluation of CAVs Behavior in an Isolated Signalized Intersection Equipped with Dynamic Wireless Power Transfer System. ITSC 2019: 2207-2212 - [i1]Renos Karamanis, Eleftherios Anastasiadis, Panagiotis Angeloudis, Marc Stettler:
Assignment and Pricing of Shared Rides in Ride-Sourcing using Combinatorial Double Auctions. CoRR abs/1909.08608 (2019) - 2018
- [c4]Renos Karamanis
, Panagiotis Angeloudis
, Aruna Sivakumar
, Marc Stettler
:
Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets. ITSC 2018: 3645-3650 - 2017
- [c3]Pei-Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis
:
Investigating Schedule Deviation in Construction Projects through Root Cause Analysis. CENTERIS/ProjMAN/HCist 2017: 732-739 - [c2]Nils Goldbeck, Panagiotis Angeloudis
, Washington Yotto Ochieng:
A Dynamic Network Flow Model for Interdependent Infrastructure and Supply Chain Networks with Uncertain Asset Operability. ICCL 2017: 513-528 - [c1]Pei-Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis
:
Establishing Outsourcing and Supply Chain Plans for Prefabricated Construction Projects Under Uncertain Productivity. ICCL 2017: 529-543 - 2016
- [j1]Dirk Briskorn
, Panagiotis Angeloudis
:
Scheduling co-operating stacking cranes with predetermined container sequences. Discret. Appl. Math. 201: 70-85 (2016)
Coauthor Index
aka: Jose Javier Escribano Macias
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last updated on 2024-08-20 20:28 CEST by the dblp team
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