Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Abdulla Al-Kaff"'
Autor:
Erik Jenelius, Abdulla Al-Kaff
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 205-207 (2024)
Public transportation serves many important roles in society: When functioning well, it provides accessibility for people to work, healthcare and other essential activities, as well as high-speed mobility for massive volumes of passengers during peak
Externí odkaz:
https://doaj.org/article/92ba72aefa8842adb2ea65b73cd34336
Publikováno v:
Sensors, Vol 23, Iss 18, p 7903 (2023)
Camera calibration is necessary for many machine vision applications. The calibration methods are based on linear or non-linear optimization techniques that aim to find the best estimate of the camera parameters. One of the most commonly used methods
Externí odkaz:
https://doaj.org/article/31b8f974b3f64295ae78918b032b9a3e
Publikováno v:
IEEE Sensors Journal. 23:12200-12208
This article proposes a new method for estimating the extrinsic calibration parameters between any pair of multibeam LiDAR sensors on a vehicle. Unlike many state-of-the-art works, this method does not use any calibration pattern or reflective marks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42bafe32175dd31786f36375c27e5076
https://doi.org/10.1109/jsen.2023.3268338
https://doi.org/10.1109/jsen.2023.3268338
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
Autor:
Miguel Ángel de Miguel, Francisco Miguel Moreno, Pablo Marín-Plaza, Abdulla Al-Kaff, Martín Palos, David Martín, Rodrigo Encinar-Martín, Fernando García
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5655 (2020)
This work presents a novel platform for autonomous vehicle technologies research for the insurance sector. The platform has been collaboratively developed by the insurance company MAPFRE-CESVIMAP, Universidad Carlos III de Madrid and INSIA of the Uni
Externí odkaz:
https://doaj.org/article/c10e4d4af36848e1b53e2ae2b706a8b7
Publikováno v:
Sensors, Vol 20, Iss 4, p 1162 (2020)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/6327cb79af7940468041a0793b74c591
Publikováno v:
Sensors, Vol 20, Iss 3, p 642 (2020)
The development in Multi-Robot Systems (MRS) has become one of the most exploited fields of research in robotics in recent years. This is due to the robustness and versatility they present to effectively undertake a set of tasks autonomously. One of
Externí odkaz:
https://doaj.org/article/79cef9aeef5a484fa900a95cef57333a
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8b0e4877feeaf49570ee91045a2f8f
https://doi.org/10.1109/iv51971.2022.9827373
https://doi.org/10.1109/iv51971.2022.9827373
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
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
The advances in Artificial Intelligence have provided powerful tools for perception in road applications, such as Traffic Monitoring or Autonomous vehicles. However, detecting and classifying objects from top-view or aerial imagery becomes more chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeffe9507a9682305744df8a2f55e1f1
https://doi.org/10.1109/iv48863.2021.9575845
https://doi.org/10.1109/iv48863.2021.9575845