Sequential sensing with biosonar for natural landmark classification
Sequential sensing with biosonar for natural landmark classification
复制标题
使用生物声纳进行顺序传感，用于自然地标分类
DOI：
10.1109/ssrr.2005.1501230
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Andreas Zell
中科院分区：
文献类型：
--
作者：
Maosen Wang;Andreas Zell
回声定位蝙蝠可以利用回声定位在声音杂乱的环境中进行夜间飞行。它们在完全黑暗中评估目标的能力为移动的机器人提供了一个学习目标检测、分类和识别的机会。在这项工作中，自然地标分类与双耳系统，顺序感测策略和重建算法后的频率进行了开发和测试。研究的目的是克服机载声纳的一些固有缺陷，利用蝙蝠的感知特性，在自然环境中为移动的机器人导航。实验结果表明，通过使用这种顺序分类方法，可以实现分类精度的显着提高。
Echolocating bats can make nocturnal flights in acoustically cluttered environments with the use of echolocation. Their ability to evaluate targets in complete darkness provides mobile robots an opportunity to learn target detection, classification and identification with similar biomimetic platforms. In this work, natural landmark classification with a binaural system, a sequential sensing strategy and a frequency after reconstruction algorithm were developed and tested. The aim of the work is to overcome some inherent shortcomings of airborne sonar and take advantage of bats' perceived properties for mobile robots' navigation in natural environments. Experimental results suggest considerable improvements in classification accuracy can be achieved by the use of this sequential classification method.