Detecting 32 pedestrian attributes for autonomous vehicles
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Pérez, A Alahi - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, the authors address the problem of …
autonomous vehicles in urban areas. In this paper, the authors address the problem of …
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Pérez… - IEEE Transactions on …, 2022 - infoscience.epfl.ch
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
[引用][C] Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Perez, A Alahi - IEEE Transactions on Intelligent …, 2022 - hal.science
Detecting 32 Pedestrian Attributes for Autonomous Vehicles - Archive ouverte HAL Accéder
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Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Pérez, A Alahi - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
Detecting 32 pedestrian attributes for autonomous vehicles
T Mordan, M Cord, P Pérez, A Alahi - IEEE transactions on intelligent …, 2022 - safetylit.org
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Pérez, A Alahi - arXiv preprint arXiv:2012.02647, 2020 - arxiv.org
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
Detecting 32 pedestrian attributes for autonomous vehicles
T Mordan, M Cord, P Pérez, A Alahi - IEEE transactions on intelligent …, 2022 - safetylit.org
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
T Mordan, M Cord, P Pérez, A Alahi - 2020 - infoscience.epfl.ch
Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …