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UAB Digital Repository of Documents 3 records found  Search took 0.03 seconds. 
1.
Monocular depth estimation through virtual-world supervision and real-world SfM self-supervision / Gurram, Akhil (Huawei Munich Research Center) ; Tuna, Ahmet Faruk (Huawei Munich Research Center) ; Shen, Fengyi (Technische Universität München. Department of Informatics) ; Urfalioglu, Onay (Huawei Munich Research Center) ; López Peña, Antonio M. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Depth information is essential for on-board perception in autonomous driving and driver assistance. Monocular depth estimation (MDE) is very appealing since it allows for appearance and depth being on direct pixelwise correspondence without further calibration. [...]
2022 - 10.1109/TITS.2021.3117059
IEEE Transactions on Intelligent Transportation Systems, Vol. 23, issue 8 (Aug. 2022) , p. 12738-12751  
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2.
11 p, 1.7 MB Multimodal end-to-end autonomous driving / Xiao, Yi (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Codevilla Moraes, Felipe (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Gurram, Akhil (Huawei Munich Research Center) ; Urfalioglu, Onay (Huawei Munich Research Center) ; López Peña, Antonio M. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
A crucial component of an autonomous vehicle (AV) is the artificial intelligence (AI) is able to drive towards a desired destination. Today, there are different paradigms addressing the development of AI drivers. [...]
2022 - 10.1109/TITS.2020.3013234
IEEE Transactions on Intelligent Transportation Systems, Vol. 23, issue 1 (Jan. 2022) , p. 537-547  
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3.
11 p, 2.3 MB Intention recognition of pedestrians and cyclists by 2D pose estimation / Fang, Zhijie (Centre de Visió per Computador (Bellaterra, Catalunya)) ; López Peña, Antonio M. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Anticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists is critical for performing safe and comfortable driving maneuvers. This is the case for human driving and, thus, should be taken into account by systems providing any level of driving assistance, from advanced driver assistant systems (ADAS) to fully autonomous vehicles (AVs). [...]
2020 - 10.1109/TITS.2019.2946642
IEEE Transactions on Intelligent Transportation Systems, Vol. 21, issue 11 (Nov. 2020) , p. 4773-4783  
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