activity
20182021
most citedA Large Scale Event-based Detection Dataset for Automotive

67 citations · 67 across the 3 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2021

End-to-end ground calibration and in-flight performance of the FIREBall-2 instrument

Vincent Picouet, Bruno Milliard, Gillian Kyne +18

The payload of the Faint Intergalactic Redshifted Emission Balloon (FIREBall-2), the second generation of the FIREBall instrument (PI: C. Martin, Caltech), has been calibrated and…

cs.CV2020

Real-Time Face & Eye Tracking and Blink Detection using Event Cameras

Cian Ryan, Brian O Sullivan, Amr Elrasad +4

Event cameras contain emerging, neuromorphic vision sensors that capture local light intensity changes at each pixel, generating a stream of asynchronous events. This way of acquir…

cs.CV2020

Learning to Detect Objects with a 1 Megapixel Event Camera

Etienne Perot, Pierre de Tournemire, Davide Nitti +2

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…

cs.CV202067 cited

A Large Scale Event-based Detection Dataset for Automotive

Pierre de Tournemire, Davide Nitti, Etienne Perot +2

We introduce the first very large detection dataset for event cameras. The dataset is composed of more than 39 hours of automotive recordings acquired with a 304x240 ATIS sensor. I…

astro-ph.IM2019

FIREBall-2: advancing TRL while doing proof-of-concept astrophysics on a suborbital platform

Erika T. Hamden, Keri Hoadley, D. Christopher Martin +32

Here we discuss advances in UV technology over the last decade, with an emphasis on photon counting, low noise, high efficiency detectors in sub-orbital programs. We focus on the u…

cs.CV2018

End-to-End Race Driving with Deep Reinforcement Learning

Maximilian Jaritz, Raoul de Charette, Marin Toromanoff +2

We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding). The newly pr…