Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Angeloudis, P"'
Publikováno v:
Journal reference: 2023 IEEE 26th International Conference on Intelligent Transportation Systems, pp. 5548-5554, 2023
Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead to collisions. One promising approach to address this issue is through the use of Vehicle-to-Ve
Externí odkaz:
http://arxiv.org/abs/2412.08562
Virtual scenario-based testing methods to validate autonomous driving systems are predominantly centred around collision avoidance, and lack a comprehensive approach to evaluate optimal driving behaviour holistically. Furthermore, current validation
Externí odkaz:
http://arxiv.org/abs/2407.15596
Autor:
Tian, Hanlin, Reddy, Kethan, Feng, Yuxiang, Quddus, Mohammed, Demiris, Yiannis, Angeloudis, Panagiotis
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, focusing on critical driving situations that target specific learning a
Externí odkaz:
http://arxiv.org/abs/2404.08570
Maritime accidents cause thousands of disappearances every year, with migrant crossings being particularly dangerous and under-reported. Current coastal and NGO search and rescue services are unable to provide a timely response, so new technologies s
Externí odkaz:
http://arxiv.org/abs/2306.03871
Autor:
Ye, Qiming, Feng, Yuxiang, Macias, Jose Javier Escribano, Stettler, Marc, Angeloudis, Panagiotis
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 2024-2034, Feb. 2023
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of future urban road infrastructure. In light of this disruptive transformation, the Right-Of-Way (ROW) composition of ro
Externí odkaz:
http://arxiv.org/abs/2303.12289
Manoeuvring in the presence of emergency vehicles is still a major issue for vehicle autonomy systems. Most studies that address this topic are based on rule-based methods, which cannot cover all possible scenarios that can take place in autonomous t
Externí odkaz:
http://arxiv.org/abs/2210.17381
Autor:
Liu, Yubin, Ye, Qiming, Escribano-Macias, Jose, Feng, Yuxiang, Candela, Eduardo, Angeloudis, Panagiotis
Mobile parcel lockers have been recently proposed by logistics operators as a technology that could help reduce traffic congestion and operational costs in urban freight distribution. Given their ability to relocate throughout their area of deploymen
Externí odkaz:
http://arxiv.org/abs/2209.04265
Autor:
Cheong, He-in, Carcelen, Jonathan Sanz, Sukitpaneenit, Manlika, Angeloudis, Panagiotis, Majumdar, Arnab, Stettler, Marc
Passenger rejection by taxi drivers impacts the travel behaviour in many cities and suburban areas, often leaving those potential customers in non-popular zones stranded without access to taxis. To overcome this problem, many practices have been impl
Externí odkaz:
http://arxiv.org/abs/2207.06981
Publikováno v:
Ocean Science, Vol 20, Pp 341-367 (2024)
Eurasian rivers provide a quarter of total fresh water to the Arctic, maintaining a persistent fresh layer that covers the surface Arctic Ocean. This freshwater export controls Arctic Ocean stratification, circulation, and basin-wide sea ice concentr
Externí odkaz:
https://doaj.org/article/a40ddb43a5064935bd921eb7eda9f016
Same-Day Delivery services are becoming increasingly popular in recent years. These have been usually modelled by previous studies as a certain class of Dynamic Vehicle Routing Problem (DVRP) where goods must be delivered from a depot to a set of cus
Externí odkaz:
http://arxiv.org/abs/2203.11658