Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods

3 Oct 2019Florent ChiaroniMohamed-Cherif RahalNicolas HueberFrederic Dufaux

This article mainly aims at motivating more investigations on self-supervised learning (SSL) perception techniques and their applications in autonomous driving. Such approaches are of broad interest as they can improve analytical methods performances, for example to perceive farther and more accurately spatially or temporally... (read more)

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