A5039182808- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- 3D Surveying and Cultural Heritage
- Optical measurement and interference techniques
- Medical Imaging Techniques and Applications
- EU Law and Policy Analysis
- Image and Object Detection Techniques
- Indoor and Outdoor Localization Technologies
- Vehicle License Plate Recognition
- Advanced Image and Video Retrieval Techniques
Université Côte d'Azur
2015-2018
Centre National de la Recherche Scientifique
2015-2018
Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis
2015-2017
Institut de Biologie Valrose
2015
Real-time globally consistent GPS tracking is critical for an accurate localization and crucial applications such as autonomous navigation or multi-robot mapping. However, under challenging environment conditions indoor/outdoor transitions, signals are partially available not over time. In this paper, a real-time system continuously locating emergency response agents in presented. A cooperative method based on Laser-Visual-Inertial (LVI) sensors achieved by communicating optimization events...
The objective of this paper is to investigate the problem how best combine and fuse color depth measurements for incremental pose estimation or 3D tracking. Subsequently a framework will be proposed that allows formulate with unique measurement vector not them in an ad-hoc manner. In particular, full defined as 4-vector (by combining Euclidean points + image intensities) optimal error derived from this. As shown, lead designing iterative closest point approach 4 dimensional space. A kd-tree...
The objective of this article is to provide a generalized framework novel method that investigates the problem combining and fusing different types measurements for pose estimation. proposed allows jointly minimize metric errors as single measurement vector in n-dimensions without requiring scaling factor tune their importance. This paper an extended version previous works introduced Point-to-hyperplane Iterative Closest Point (ICP) approach. In approach, increased convergence domain faster...
The objective of this paper is to demonstrate that the metric error between different types measurements can be jointly minimized without a scaling factor for estimation processes if Point-to-hyperplane approach employed. This article an extension previous work based on Point-tohyperplane in 4 dimensions applied pose estimation, where proposed method fused (3D Euclidean points + Image intensities) and it was experimentally demonstrated invariant choice scale factor. In paper, invariance will...