Abstract
In this paper a novel integrated, single-chip solution for autonomous navigation inspired by the computations in the insect visuomotor system is proposed. A generalization of the theory of wide field integration (WFI) is presented which supports the use of sensors with a limited field of view, and the system concept is validated based on experiments using a prototype single-chip WFI sensor. The VLSI design implements (1) an array of Elementary Motion Detectors (EMDs) to derive local estimates of optic flow, (2) a novel mismatch compensation approach to handle dissimilarities in local motion detector units, and (3) on-chip programmable optic flow pattern weighting (Wide-Field Integration) to extract relative speed and proximity with respect to the surrounding environment. Computations are performed in the analog domain and in parallel, providing outputs at 1 kHz while consuming only 42.6 μW of power. The resulting sensor is integrated with a ground vehicle and navigation of corridor-like environments is demonstrated.
| Original language | English |
|---|---|
| Pages (from-to) | 465-487 |
| Number of pages | 23 |
| Journal | Journal of Intelligent and Robotic Systems: Theory and Applications |
| Volume | 64 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - Dec 2011 |
Keywords
- Autonomous navigation
- Bio-inspired vision
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