FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging
Bryson Lingenfelter, Arunava Nag, and Floris van Breugel

TL;DR
FLIVVER is a biologically inspired algorithm that estimates absolute velocity and distance using optic flow and acceleration, offering a simple, efficient alternative to complex SLAM methods for tiny robots.
Contribution
The paper introduces FLIVVER, a novel insect-inspired algorithm that directly estimates absolute velocity from optic flow and acceleration, bypassing complex computations used in traditional SLAM.
Findings
Successfully estimates absolute velocity using optic flow and acceleration.
Provides a biologically plausible model for insect velocity estimation.
Lays groundwork for efficient analog circuitry in insect-sized robots.
Abstract
The mechanism by which a tiny insect or insect-sized robot could estimate its absolute velocity and distance to nearby objects remains unknown. However, this ability is critical for behaviors that require estimating wind direction during flight, such as odor-plume tracking. Neuroscience and behavior studies with insects have shown that they rely on the perception of image motion, or optic flow, to estimate relative motion, equivalent to a ratio of their velocity and distance to objects in the world. The key open challenge is therefore to decouple these two states from a single measurement of their ratio. Although modern SLAM (Simultaneous Localization and Mapping) methods provide a solution to this problem for robotic systems, these methods typically rely on computations that insects likely cannot perform, such as simultaneously tracking multiple individual visual features, remembering…
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Neurobiology and Insect Physiology Research · Advanced Vision and Imaging
