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Enhance implementation of flying robot auto-navigation system on FPGA for better performance

机译:增强在FPGA上实现飞行机器人自动导航系统的性能,从而提高性能

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The complexity to autonomous-navigate a flying robot is much higher compared with a ground-based robot. During autonomous-navigation, the flying robot should have the intelligent to fly from current location toward the desired location. Therefore, the system must address three problems facing by the flying robot. First, where am I? It's the perceive level of the flying robot to sense the environment. Second, where am I going? The flying robot must possess the knowledge on the areas located. With all of the information, the flying robot is capable to address the third questions, figuring how to go there. The main intention of this paper is to devote the autonomous navigation system on flying robot. Significant parameter on the system like in term of frequency, accuracy, etc. will be improve or enhances in this paper. Sensors such as Global Positioning System (GPS), ultrasonic range (US) sensor, etc. was implemented on the flying robot. This sensor was operated as the sensing unit in the flying robot to provide the physical knowledge for the surrounding environment. Then the flying robot would be able to generate a path toward the desired location. To flying safely during task, flying robot has to continually acquire the environment knowledge time by time. Besides, it's also important to maintain the stability of the flying robot when performing the entire task. All of the module would combine as final module name autonomous navigation system. The system would make the decision based-on the stage of the task. All of the module would implement on FPGA using VHDL and process with DE0-Nano as the on-board computer. The system was successfully implemented on the flying robot. It's still under progress to perform the outdoor autonomous navigation without human supervised. The objective to devote the system is under progress.
机译:与地面机器人相比,自动驾驶飞行机器人的复杂性要高得多。在自主导航过程中,飞行机器人应具有从当前位置飞向所需位置的智能。因此,系统必须解决飞行机器人面临的三个问题。首先,我在哪里?这是飞行机器人感知环境的感知水平。第二,我要去哪里?飞行机器人必须具备所处区域的知识。有了所有这些信息,飞行机器人就能解决第三个问题,弄清楚如何去那里。本文的主要目的是致力于飞行机器人的自主导航系统。本文将在频率,精度等方面对系统上的重要参数进行改进或增强。飞行机器人上安装了诸如全球定位系统(GPS),超声波测距(US)传感器等传感器。该传感器用作飞行机器人中的传感单元,以提供周围环境的物理知识。然后,飞行机器人将能够生成指向期望位置的路径。为了在任务中安全飞行,飞行机器人必须不断地不断获取环境知识。此外,在执行整个任务时保持飞行机器人的稳定性也很重要。所有模块都将合并为自主导航系统的最终模块名称。系统将根据任务的阶段做出决定。所有模块都将使用VHDL在FPGA上实现,并以DE0-Nano作为车载计算机进行处理。该系统已在飞行机器人上成功实施。在没有人工监督的情况下执行户外自主导航仍在进行中。致力于该系统的目标正在进行中。

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