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Vision-based Tracking by a Quadrotor on ROS * * This work was supported in part by the U.S. Army Research Office under grant W911NF1510275.

机译:Quadrotor在ROS上基于视觉的跟踪 * * 美国陆军研究办公室在W911NF1510275资助下部分支持了这项工作。

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Real-time following of a moving target by a flying tracker without radar detection and GPS reception inspires vision-based tracking through the use of surveillance camera, laser-scanned lidar, and SLAM (simultaneous localization and mapping). In this paper, we propose vision-based tracking of a moving target in three consecutive steps, image processing, coordinate transformation and trajectory following. A testing platform containing two spawned quadrotors as target and tracker is developed on ROS, from which sequence of images are generated by an on-board camera of the tracker while the target moves along a rectangular path on the ground. An image processing algorithm based on target recognition is proposed to achieve visual tracking on image frames. Coordinate transformation is established to recover the original target trajectory as the desired path of the tracker in the real world from the image processing algorithm. The target following control law then moves the tracker along the desired trajectory point-by-point through velocity control.
机译:飞行追踪器无需雷达检测和GPS接收即可实时跟踪移动目标,通过使用监控摄像头,激光扫描激光雷达和SLAM(同时定位和地图绘制),激发了基于视觉的跟踪。在本文中,我们提出了在三个连续的步骤(图像处理,坐标变换和轨迹跟踪)中基于视觉的运动目标跟踪。在ROS上开发了一个包含两个生成的四旋翼机作为目标和跟踪器的测试平台,当目标沿着地面的矩形路径移动时,跟踪器的车载摄像头会从中生成图像序列。提出了一种基于目标识别的图像处理算法,实现了对图像帧的视觉跟踪。建立坐标变换以从图像处理算法恢复原始目标轨迹作为现实世界中跟踪器的所需路径。然后,目标遵循控制律,通过速度控制使跟踪器沿所需轨迹逐点移动。

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