- Tytuł:
- Dense 3D Structure and Motion Estimation as an Aid for Robot Navigation
- Autorzy:
- De Cubber, G.
- Powiązania:
- https://bibliotekanauki.pl/articles/384899.pdf
- Data publikacji:
- 2008
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
outdoor mobile robots
behavior-based control
stereo vision and image motion analysis for robot navigation
modular control and software architecture (MCA) - Opis:
- Three-dimensional scene reconstruction is an important tool in many applications varying from computer graphics to mobile robot navigation. In this paper, we focus on the robotics application, where the goal is to estimate the 3D rigid motion of a mobile robot and to reconstruct a dense three-dimensional scene representation. The reconstruction problem can be subdivided into a number of subproblems. First, the egomotion has to be estimated. For this, the camera (or robot) motion parameters are iteratively estimated by reconstruction of the epipolar geometry. Secondly, a dense depth map is calculated by fusing sparse depth information from point features and dense motion information from the optical flow in a variational framework. This depth map corresponds to a point cloud in 3D space, which can then be converted into a model to extract information for the robot navigation algorithm. Here, we present an integrated approach for the structure and egomotion estimation problem.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 4; 14-18
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł