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Panagiotis Angeloudis
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2020 – today
- 2024
- [j14]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) - [j13]Lintong Li, Jose Escribano Macias, Mingwei Zhang, Shenghao Fu, Mingyang Huang, Xiangmin Yang, Tianyu Zhao, Yuxiang Feng, Mireille Elhajj, Arnab Majumdar, Panagiotis Angeloudis, Washington Ochieng:
Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction. Sensors 24(19): 6254 (2024) - [c23]Hugh Blayney, Hanlin Tian, Hamish Scott, Nils Goldbeck, Chess Stetson, Panagiotis Angeloudis:
Bézier Everywhere All at Once: Learning Drivable Lanes as Bézier Graphs. CVPR 2024: 15365-15374 - [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 2024-10-23 21:23 CEST by the dblp team
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