no code implementations • 24 Aug 2022 • Djibrilla Amadou Kountche, Fatma Raissi, Mandimby Ranaivo Rakotondravelona, Edoardo Bonetto, Daniele Brevi, Angel Martin, Oihana Otaegui, Gorka Velez
Today's vehicles are increasingly embedded with computers and sensors which produce huge amount of data.
no code implementations • 13 May 2022 • Paola Natalia Canas, Juan Diego Ortega, Marcos Nieto, Oihana Otaegui
Strategies that include the generation of synthetic data are beginning to be viable as obtaining real data can be logistically complicated, very expensive or slow.
no code implementations • 13 May 2022 • Marcos Nieto, Mikel Garcia, Itziar Urbieta, Oihana Otaegui
Work on Local Dynamic Maps (LDM) implementation is still in its early stages, as the LDM standards only define how information shall be structured in databases, while the mechanism to fuse or link information across different layers is left undefined.
no code implementations • 13 Apr 2022 • Gorka Velez, Edoardo Bonetto, Daniele Brevi, Angel Martin, Gianluca Rizzi, Oscar Castañeda, Arslane Hamza Cherif, Marcos Nieto, Oihana Otaegui
Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities.
no code implementations • 27 Aug 2020 • Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado
Vision is the richest and most cost-effective technology for Driver Monitoring Systems (DMS), especially after the recent success of Deep Learning (DL) methods.
1 code implementation • 2 Mar 2020 • Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui
Top view images are generated from point clouds as input for the networks.
no code implementations • 28 Apr 2015 • Gorka Velez, Oihana Otaegui
Computer Vision, either alone or combined with other technologies such as radar or Lidar, is one of the key technologies used in Advanced Driver Assistance Systems (ADAS).