Near Real-Time 3D Path Visualization for Navigation Systems with IMU Sensor and Kalman Filter

Biplov Paneru
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Abstract

Path tracing or simulation in robotics Operating System ROS is very popular in highly dynamic research projects. The Matplotlib’s 3D path tracing is a graphical 3-axis plotting tool with real- time data visualization over a very long range. The data’s are generated in all 3 dimensions from accelerometer readings for visualizing the ground station navigation system. The communication between the two radio modules are established and the data’s are transmitted between the two modules that are placed remotely. The data can be plotted in real-time in 3 Dimensions and then, visualized. The main goal of path tracing is to make a comparative study between 3 axis displacement as any kind of irregular plot or trace can be a sign of a dangerous situations that can occur. There are many other significances of this concept that can be used in navigation systems.
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基于IMU传感器和卡尔曼滤波的导航系统近实时三维路径可视化
操作系统ROS在高度动态的研究项目中非常流行。Matplotlib的3D路径跟踪是一个图形化的3轴绘图工具,具有很长范围内的实时数据可视化。这些数据是由加速度计读数在所有3个维度上生成的,用于可视化地面站导航系统。建立两个无线电模块之间的通信,并在远程放置的两个模块之间传输数据。数据可以实时绘制成三维图形,然后可视化。路径追踪的主要目标是在3轴位移之间进行比较研究,因为任何一种不规则的情节或痕迹都可能是可能发生危险情况的标志。这个概念还有许多其他的意义,可以用于导航系统。
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