Etienne Perot — accepted AI-conference papers

2020

Learning to Detect Objects with a 1 Megapixel Event Camera

Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi

NeurIPS 2020spotlight

Event cameras encode visual information with high temporal precision, low data-rate, and high-dynamic range. Thanks to these characteristics, event cameras are particularly suited for scenarios with high motion, challenging lighting conditions and requiring low latency. However, due to the novel…

Cited by 318 Source ↗PDF ↗code ↗Scholar ↗

2018

End-to-End Race Driving with Deep Reinforcement Learning

Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi

ICRA 2018poster

We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding). The newly proposed reward and learning strategies lead together to faster convergence and more robust driving using only RGB image f…

Cited by 231 Source ↗Scholar ↗