4 papers
3D-FlowNet: Event-based optical flow estimation with 3D representation
Haixin Sun, Minh-Quan Dao, Vincent Fremont
Event-based cameras can overpass frame-based cameras limitations for important tasks such as high-speed motion detection during self-driving cars navigation in low illumination con…
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection
Ruddy Théodose, Dieumet Denis, Thierry Chateau +2
Current neural networks-based object detection approaches processing LiDAR point clouds are generally trained from one kind of LiDAR sensors. However, their performances decrease w…
A Loosely-Coupled Approach for Metric Scale Estimation in Monocular Vision-Inertial Systems
Ariane Spaenlehauer, Vincent Fremont, Y. Ahmet Sekercioglu +1
In monocular vision systems, lack of knowledge about metric distances caused by the inherent scale ambiguity can be a strong limitation for some applications. We offer a method for…
DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile
Paul George, Indira Thouvenin, Vincent Fremont +1
Taking into account the drivers' state is a major challenge for designing new advanced driver assistance systems. In this paper we present a driver assistance system strongly coupl…