A biologically inspired collision detection algorithm using differential optic flow imaging

被引：2

作者：

Sarkar, Mukul ^{[1
,2
]}

Bello, David San Segundo ^{[1
]}

van Hoof, Chris ^{[1
]}

Theuwissen, Albert ^{[2
,3
]}

机构：

[1] IMEC, Heverlee, Belgium

[2] Delft Univ Technol, NL-2600 AA Delft, Netherlands

[3] Harvest Imaging, Bree, Belgium

来源：

2010 BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS) | 2010年

关键词：

D O I：

10.1109/BIOCAS.2010.5709618

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A differential CMOS image sensor to detect collision using 1D binary differential optical flow is presented. The algorithm is inspired by the insects' use of image expansion for saccadic motion and flight landing. The proposed model is simpler in implementation than the conventional HassensteinReichardt elementary motion detectors used in most collision detection models. The binary output for the optic flow is generated at the pixel level, reducing the need for digital hardware and simplifying the process of collision detection. The experimental results show that the collision detection algorithm can trigger as near as 2cm from the object, opening the possibility of using these algorithms in narrow path autonomous agent navigations.

引用

页码：250 / 253

页数：4

共 8 条

[1] A biologically inspired analog IC for visual collision detection [J].