International audienceWe present a novel method for scene reconstruction and moving object detection and tracking, using extensive point tracking (typically more than 4000 points per frame) over time. Current neighbourhood is reconstructed in the form of a 3D point cloud, which allows for extra features (ground detection, path planning, obstacle detection). Reconstruction framework takes moving objects into account, and tracking over time allows for trajectory and speed estimation
The 3D reconstructed maps can be used in many applications such as robot navigation, augmented reali...
. This paper presents the feature replenishment technique used by our 3D Feature Based Tracker (3DFB...
We present a 3D reconstruction technique designed to support an autonomously navigated unmanned aeri...
International audienceWe present a novel method for scene reconstruction and moving object detection...
International audienceWe present a novel method for scene reconstruction and moving object detection...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
Cette thèse s'inscrit dans la problématique de la perception des véhicules autonomes, qui doivent no...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
Cette thèse s'inscrit dans la problématique de la perception des véhicules autonomes, qui doivent no...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
A multi-camera monitoring system for online recognition of moving objects is considered. The system ...
The 3D reconstructed maps can be used in many applications such as robot navigation, augmented reali...
. This paper presents the feature replenishment technique used by our 3D Feature Based Tracker (3DFB...
We present a 3D reconstruction technique designed to support an autonomously navigated unmanned aeri...
International audienceWe present a novel method for scene reconstruction and moving object detection...
International audienceWe present a novel method for scene reconstruction and moving object detection...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
This PhD work is to be seen within the context of autonomous vehicle perception, in which the detect...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
Cette thèse s'inscrit dans la problématique de la perception des véhicules autonomes, qui doivent no...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
Cette thèse s'inscrit dans la problématique de la perception des véhicules autonomes, qui doivent no...
In this contribution we describe a vision-based system for the 3D detection and tracking of moving p...
A multi-camera monitoring system for online recognition of moving objects is considered. The system ...
The 3D reconstructed maps can be used in many applications such as robot navigation, augmented reali...
. This paper presents the feature replenishment technique used by our 3D Feature Based Tracker (3DFB...
We present a 3D reconstruction technique designed to support an autonomously navigated unmanned aeri...