Real-Time Computer Vision and Robotics Using Analog VLSI Circuits
Abstract
The long-term goal of our laboratory is the development of analog resistive network-based VLSI implementations of early and inter(cid:173) mediate vision algorithms. We demonstrate an experimental cir(cid:173) cuit for smoothing and segmenting noisy and sparse depth data using the resistive fuse and a 1-D edge-detection circuit for com(cid:173) puting zero-crossings using two resistive grids with different space(cid:173) constants. To demonstrate the robustness of our algorithms and of the fabricated analog CMOS VLSI chips, we are mounting these circuits onto small mobile vehicles operating in a real-time, labo(cid:173) ratory environment.
Cite
Text
Koch et al. "Real-Time Computer Vision and Robotics Using Analog VLSI Circuits." Neural Information Processing Systems, 1989.Markdown
[Koch et al. "Real-Time Computer Vision and Robotics Using Analog VLSI Circuits." Neural Information Processing Systems, 1989.](https://mlanthology.org/neurips/1989/koch1989neurips-realtime/)BibTeX
@inproceedings{koch1989neurips-realtime,
title = {{Real-Time Computer Vision and Robotics Using Analog VLSI Circuits}},
author = {Koch, Christof and Bair, Wyeth and Harris, John G. and Horiuchi, Timothy K. and Hsu, Andrew and Luo, Jin},
booktitle = {Neural Information Processing Systems},
year = {1989},
pages = {750-757},
url = {https://mlanthology.org/neurips/1989/koch1989neurips-realtime/}
}