Object Detection and Location Estimation using SVS for UAVs

被引：0

作者：

Kizar, Sk. Noor ^{[1
]}

Satyanarayana, G. S. R. ^{[1
]}

机构：

[1] VFSTR Univ, Dept Elect & Commun Engn, Vadlamudi, Andhra Pradesh, India

来源：

2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT) | 2016年

关键词：

GPS; Hexacopter; MATLAB; IMU; Stereo vision sensor; UAV;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a distinct system for object detection and measuring distance to an object for an Unmanned Aerial Vehicle (UAV) utilizing stereo vision sensor has been proposed. The depth information which is acquired from stereo vision sensor plays a vital role in collision avoidance applications. The system uses a Hexacopter with on board webcams interfaced to a Raspberry pi board to capture video. In our proposed algorithm, the UAV travels in a predefined path and tries to detect objects at each waypoint. Thereafter it computes distance from the waypoint to an object and goes to the new waypoint (i.e. object location) with the assistance of GPS and IMU data. The image processing algorithms are implemented in MATLAB.

引用

页码：920 / 924

页数：5

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