Collision avoidance using a model of the locust LGMD neuron

被引：85
|
作者：
Blanchard, M
Rind, FC
Verschure, PFMJ
机构：
[1] Univ Zurich, ETH, Inst Neuroinformat, CH-8057 Zurich, Switzerland
[2] Newcastle Univ, Sch Med, Dept Neurobiol, Newcastle Upon Tyne NE2 4HH, Tyne & Wear, England
来源：
ROBOTICS AND AUTONOMOUS SYSTEMS | 2000年 / 30卷 / 1-2期
关键词：
insect vision; lobula giant movement detector (LGMD); mobile robot; obstacle detection; collision avoidance;
D O I：
10.1016/S0921-8890(99)00063-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a neural network model based on the LGMD system which shared this preference for approaching objects. We have extended this model in order to evaluate its responses in a real-world environment using a miniature mobile robot. This extended model shows reliable obstacle detection over an eight-fold range of speeds, and raises interesting questions about basic properties of the biological system. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：17 / 38
页数：22
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