Machine learning based crash-allowed area detection for autonomous UAV - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2019

Machine learning based crash-allowed area detection for autonomous UAV

Adrien Chan-Hon-Tong

Résumé

There is today a clear discordance of the community about the relevancy and the safety of embedding computer vision deep learning algorithm in autonomous vehicle. Yet, this paper presents a very simple and pragmatic autonomous vehicle use case where computer vision deep learning algorithm are both relevant and safe.
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Dates et versions

hal-01676691 , version 1 (05-01-2018)
hal-01676691 , version 2 (17-01-2018)
hal-01676691 , version 3 (24-01-2018)
hal-01676691 , version 4 (30-01-2018)
hal-01676691 , version 5 (28-03-2018)
hal-01676691 , version 6 (02-10-2019)
hal-01676691 , version 7 (19-11-2019)

Identifiants

  • HAL Id : hal-01676691 , version 7

Citer

Adrien Chan-Hon-Tong. Machine learning based crash-allowed area detection for autonomous UAV. 2019. ⟨hal-01676691v7⟩

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