Martin Rebert

Prediction of MUAV flight behavior from active and passive imaging in complex environment

Martin Laurenzis, Stéphane Schertzer, Frank Christnacher, 2020, Defense + Commercial Sensing.

A review of the dataset available for visual odometry

Christophe Cudel, David Monnin, Martin Rebert, 2019, International Conference on Quality Control by Artificial Vision.

Characterization of the impact of visual odometry drift on the control of an autonomous vehicle

Jonathan Ledy, Rodolfo Orjuela, Martin Rebert, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Parallax beam: a vision-based motion estimation method robust to nearly planar scenes

Christophe Cudel, Stéphane Bazeille, David Monnin, 2019, J. Electronic Imaging.

Active and passive computational imaging for tracking and prediction of three-dimensional MUAV flight paths

Martin Laurenzis, Stéphane Schertzer, Emmanuel Bacher, 2019, Security + Defence.

Tracking and prediction of small unmanned aerial vehicles' flight behavior and three-dimensional flight path from laser gated viewing images

Martin Laurenzis, Stéphane Schertzer, Frank Christnacher, 2019, Defense + Commercial Sensing.

Prediction of microunmanned aerial vehicle flight behavior from two-dimensional intensity images

Martin Laurenzis, Stéphane Schertzer, Martin Rebert, 2019, Optical Engineering.