Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Arturo de la Escalera"'
Publikováno v:
Sensors, Vol 23, Iss 21, p 9013 (2023)
Unmanned aerial vehicles (UAV) can be controlled in diverse ways. One of the most common is through artificial intelligence (AI), which comprises different methods, such as reinforcement learning (RL). The article aims to provide a comparison of thre
Externí odkaz:
https://doaj.org/article/a1bf57e3f32348b68b48277bca415c42
Publikováno v:
Sensors, Vol 23, Iss 23, p 9395 (2023)
The growing on-board processing capabilities have led to more complex sensor configurations, enabling autonomous car prototypes to expand their operational scope. Nowadays, the joint use of LiDAR data and multiple cameras is almost a standard and pos
Externí odkaz:
https://doaj.org/article/052222778d7b40c0a458f2086b28723e
Publikováno v:
Energies, Vol 16, Iss 15, p 5689 (2023)
Connected autonomous electric vehicles (CAEVs) are essential actors in the decarbonization process of the transport sector and a key aspect of home energy management systems (HEMSs) along with PV units, CAEVs and battery energy storage systems. Howev
Externí odkaz:
https://doaj.org/article/fed57ea3149a428494b22413d2ee0fa5
Autor:
Zhuoyao He, David Martín Gómez, Arturo de la Escalera Hueso, Pablo Flores Peña, Xingcai Lu, José María Armingol Moreno
Publikováno v:
Sensors, Vol 23, Iss 14, p 6429 (2023)
Unmanned aerial vehicles (UAVs) have drawin increasing attention in recent years, and they are widely applied. Nevertheless, they are generally limited by poor flight endurance because of the limited energy density of their batteries. A robust power
Externí odkaz:
https://doaj.org/article/646a467fd1bf41b0a1b5cc70b4bb4229
Publikováno v:
Sensors, Vol 21, Iss 9, p 2912 (2021)
Human–machine interaction is an active area of research due to the rapid development of autonomous systems and the need for communication. This review provides further insight into the specific issue of the information flow between pedestrians and
Externí odkaz:
https://doaj.org/article/804f93ede85b42ea951ee672bd059e13
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1258 (2021)
Advances in the field of unmanned aerial vehicles (UAVs) have led to an exponential increase in their market, thanks to the development of innovative technological solutions aimed at a wide range of applications and services, such as emergencies and
Externí odkaz:
https://doaj.org/article/ad071d21f3204a50aabcb3f2cefd21c1
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation ca
Externí odkaz:
https://doaj.org/article/1f42abc84b6743779b5ad8d386e0a6b2
Publikováno v:
Sensors, Vol 15, Iss 10, Pp 25968-25991 (2015)
A driver behaviour analysis tool is presented. The proposal offers a novel contribution based on low-cost hardware and advanced software capabilities based on data fusion. The device takes advantage of the information provided by the in-vehicle senso
Externí odkaz:
https://doaj.org/article/b266d5cfde104b308fc2a9a68f69dba5
Autor:
Abdulla Al-Kaff, María José Gómez-Silva, Francisco Miguel Moreno, Arturo de la Escalera, José María Armingol
Publikováno v:
Sensors, Vol 19, Iss 3, p 652 (2019)
The automation of the Wilderness Search and Rescue (WiSAR) task aims for high levels of understanding of various scenery. In addition, working in unfriendly and complex environments may cause a time delay in the operation and consequently put human l
Externí odkaz:
https://doaj.org/article/f2ae4f6bf26f44649314c4beb046b23d
Autor:
Arturo de la Escalera, José Eugenio Naranjo, José Javier Anaya, José María Armingol, Felipe Jiménez, Fernando García
Publikováno v:
Sensors, Vol 13, Iss 9, Pp 11687-11708 (2013)
Among Advanced Driver Assistance Systems (ADAS) pedestrian detection is a common issue due to the vulnerability of pedestrians in the event of accidents. In the present work, a novel approach for pedestrian detection based on data fusion is presented
Externí odkaz:
https://doaj.org/article/c04196a4407f427988db6637ef66e35c