Implementation of Vision-Based Tracking System for a Quadrotor

Abstract

This paper presents an object tracking platform based on computer vision. A combination of CamShift and Kalman filter algorithms is used to achieve real-time tracking of moving objects' requirements. We proposed an effective control strategy to realize the tracking algorithm. A tracking system consisting of a low-cost quadrotor and a control station is designed for validating the proposed approach. The scene of an AR.Drone quadrotor searching and following the target in a 3D space is presented at last.

Discussion on Determination Methods for Coefficient of Subgrade Reaction in Response Displacement Method

“…In resent years, there has been an increasing focus on the earthquake resistant problems of subway engineering. Especially, after the Wenchuan earthquake in 2008, the seismic performance analysis of subway structures is required in its design phase [1][2][3].…”