Title :
A biologically inspired analog IC for visual collision detection
Author :
Harrison, Reid R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
Abstract :
We have designed and tested a single-chip analog VLSI sensor that detects imminent collisions by measuring radially expanding optic flow. The design of the chip is based on a model proposed to explain leg-extension behavior in flies during landing approaches. We evaluated a detailed version of this model in simulation using a library of 50 test movies taken through a fisheye lens. The algorithm was evaluated on its ability to distinguish movies ending in collisions from movies in which no collision occurred. This biologically inspired algorithm is capable of 94% correct performance in this task using an ultra-low-resolution (132-pixel) image as input. A new elementary motion detector (EMD) circuit was developed to measure optic flow on a CMOS focal-plane sensor. This EMD circuit models the bandpass nature of large monopolar cells (LMCs) immediately postsynaptic to photoreceptors in the fly visual system as well as a saturating multiplication operation proposed for Reichart-type motion detectors. A 16×16 array of two-dimensional motion detectors was fabricated in a standard 0.5-μm CMOS process. The chip consumes 140 μW of power from a 5 V supply. With the addition of wide-angle optics, the sensor is able to detect collisions 100-400 ms before impact in complex, real-world scenes.
Keywords :
CMOS analogue integrated circuits; CMOS image sensors; VLSI; collision avoidance; focal planes; image resolution; integrated circuit design; integrated optoelectronics; 0.5 micron; 100 to 400 ms; 132 pixel; 140 muW; 5 V; CMOS focal-plane sensor; Gilbert multiplier; Reichart-type motion detectors; analog VLSI sensor; biologically inspired analog IC; circuit models; elementary motion detector; fisheye lens; fly visual system; imminent collisions; insect vision; large monopolar cells; multiplication operation; neuromorphic systems; optic flow measurement; photoreceptors; smart sensor; ultra-low-resolution image; visual collision detection; wide-angle optics; Analog integrated circuits; Biological system modeling; Biomedical optical imaging; Biosensors; Fluid flow measurement; Motion detection; Motion pictures; Optical saturation; Optical sensors; Testing; CMOS imager; Gilbert multiplier; collision detection; insect vision; neuromorphic systems; optic flow; smart sensor;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2005.853517