Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ignacio Parra Alonso"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/0542f002f8554f47a6f6215299ccb5ed
Autor:
Hector Corrales Sanchez, Noelia Hernandez Parra, Ignacio Parra Alonso, Eduardo Nebot, David Fernandez-Llorca
Publikováno v:
IEEE Access, Vol 9, Pp 116338-116355 (2021)
Fine-grained vehicle classification from images, also known as Vehicle Make and Model Recognition (VMMR), has become an important research topic in the last years, with a growing number of scientific contributions in multiple application areas, such
Externí odkaz:
https://doaj.org/article/7b920aa4ee4f4cafb91cb7ca260dd07c
Autor:
Hector Corrales Sanchez, Antonio Hernandez Martinez, Ruben Izquierdo Gonzalo, Noelia Hernandez Parra, Ignacio Parra Alonso, David Fernandez-Llorca
Publikováno v:
IEEE Access, Vol 8, Pp 132539-132550 (2020)
Significant progress on human and vehicle pose estimation has been achieved in recent years. The performance of these methods has evolved from poor to remarkable in just a couple of years. This improvement has been obtained from increasingly complex
Externí odkaz:
https://doaj.org/article/33c0ef46996a49acbbaa006be2489354
Autor:
Augusto Luis Ballardini, Álvaro Hernández Saz, Sandra Carrasco Limeros, Javier Lorenzo, Ignacio Parra Alonso, Noelia Hernández Parra, Iván García Daza, Miguel Ángel Sotelo
Publikováno v:
Sensors, Vol 21, Iss 18, p 6269 (2021)
Understanding the scene in front of a vehicle is crucial for self-driving vehicles and Advanced Driver Assistance Systems, and in urban scenarios, intersection areas are one of the most critical, concentrating between 20% to 25% of road fatalities. T
Externí odkaz:
https://doaj.org/article/86dacad74277490cb716e609b9e0d9e6
Autor:
Javier Lorenzo, Ignacio Parra Alonso, Rubén Izquierdo, Augusto Luis Ballardini, Álvaro Hernández Saz, David Fernández Llorca, Miguel Ángel Sotelo
Publikováno v:
Sensors, Vol 21, Iss 17, p 5694 (2021)
Anticipating pedestrian crossing behavior in urban scenarios is a challenging task for autonomous vehicles. Early this year, a benchmark comprising JAAD and PIE datasets have been released. In the benchmark, several state-of-the-art methods have been
Externí odkaz:
https://doaj.org/article/57f532e1f5374bb193cf92e85200519c
Publikováno v:
Sensors, Vol 20, Iss 18, p 5115 (2020)
Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously. However, there is still a lo
Externí odkaz:
https://doaj.org/article/e471f3da291f4ab98a7078f7e02b3798
Autor:
Ruben Izquierdo Gonzalo, Carlota Salinas Maldonado, Javier Alonso Ruiz, Ignacio Parra Alonso, David Fernandez Llorca, Miguel Angel Sotelo
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 14:77-93
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels. These approaches are well suited for vehicles with limited complexity and limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b7f185f285763be261d07e4f168d142
https://doi.org/10.1109/mits.2022.3170649
https://doi.org/10.1109/mits.2022.3170649
Autor:
David Fernandez-Llorca, Antonio Hernández Martínez, Rubén Izquierdo Gonzalo, Hector Corrales Sanchez, Noelia Hernández Parra, Ignacio Parra Alonso
Publikováno v:
IEEE Access, Vol 8, Pp 132539-132550 (2020)
Significant progress on human and vehicle pose estimation has been achieved in recent years. The performance of these methods has evolved from poor to remarkable in just a couple of years. This improvement has been obtained from increasingly complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe5bd545d2fe480dc17268d361e9583
https://doi.org/10.1109/access.2020.3010307
https://doi.org/10.1109/access.2020.3010307
Autor:
Iván García Daza, Álvaro Hernández Saz, Noelia Hernández Parra, Sandra Carrasco Limeros, Miguel Angel Sotelo, Ignacio Parra Alonso, Javier Lorenzo, Augusto Luis Ballardini
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 18
Sensors, Vol 21, Iss 6269, p 6269 (2021)
Sensors
Volume 21
Issue 18
Sensors, Vol 21, Iss 6269, p 6269 (2021)
Understanding the scene in front of a vehicle is crucial for self-driving vehicles and Advanced Driver Assistance Systems, and in urban scenarios, intersection areas are one of the most critical, concentrating between 20% to 25% of road fatalities. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd5e89baad7a03d6731713417dbaa2b4
http://europepmc.org/articles/PMC8473311
http://europepmc.org/articles/PMC8473311
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
According to several reports published by worldwide organisations, thousands of pedestrians die in road accidents every year. Due to this fact, vehicular technologies have been evolving with the intent of reducing these fatalities. This evolution has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::508206da172651293475d7813e1cd7f7
http://arxiv.org/abs/2004.14747
http://arxiv.org/abs/2004.14747
