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Real-time, robust and precise estimation of a robot's ego-motion is a crucial requirement for higher level tasks like autonomous navigation. In this paper, a real-time and robust odometry estimation system for indoor micro aerial vehicle (MAV) is developed by only using the point cloud generated from the depth camera. First, local surface normal features are used to select points with most constraints...
Micro-quadrotor usually equips with lightweight sensors due to its limited payload. In this paper, an odometry estimation method based on 2D laser scanner and monocular vision is proposed to solve the pose estimation problem of micro-quadrotor flying robot in indoor environments. This method firstly detects and matches image features of current and previous frames to get all feature correspondences...
Traveling experience sharing has become pervasive. In this paper, we present a system which automatically generates a multimedia travelogue for mobile users. Multimedia travelogue shows user footprint with photos on the corresponding location on the map, which could offer the space distribution inner or between the locations. Meanwhile, location overviews with representative tags and images show comprehensive...
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