Towards 3D Point cloud based object maps for household environments
Robotics and Autonomous Systems
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Intuitive 3D Maps for MAV Terrain Exploration and Obstacle Avoidance
Journal of Intelligent and Robotic Systems
Fusion of IMU and Vision for Absolute Scale Estimation in Monocular SLAM
Journal of Intelligent and Robotic Systems
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters
IEEE Transactions on Robotics
Hi-index | 0.00 |
Over the past couple of years, with the development of efficient control algorithms, micro aerial vehicles have come into the picture. In this paper, we consider the problem of creating a map of an indoor environment which provides more information than a 2D map and at the same time is more accurate than the contemporary 3D mapping algorithms. We propose a novel collaborative system, consisting of an unmanned ground vehicle and a micro aerial vehicle, which is used to create augmented 2D maps using the distinct sensing capabilities of these two robots. This system works in a collaborative manner such that the two robots complement each others movement and sensing capabilities.