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Conference papers
A novel 1-gram insect based device measuring visual motion along 5 optical directions
Abstract : Autopilots for micro aerial vehicles (MAVs) with a maximum permissible avionic payload of only a few grams need lightweight, low-power sensors to be able to navigate safely when flying through unknown environments. To meet these demanding specifications, we developed a simple functional model for an Elementary Motion Detector (EMD) circuit based on the common housefly's visual system. During the last two decades, several insect-based visual motion sensors have been designed and implemented on various robots, and considerable improvements have been made in terms of their mass, size and power consumption. The new lightweight visual motion sensor presented here generates 5 simultaneous neighboring measurements of the 1-D angular speed of a natural scene within a measurement range of more than one decade [25 °/s; 350°/s]. Using a new sensory fusion method consisting in computing the median value of the 5 local motion units, we ended up with a more robust, more accurate and more frequently refreshed measurement of the 1-D angular speed.
Keywords :
Biomedical optical imaging
Lenses
Optical sensors
Sensor phenomena and characterization
Visualization
1-gram insect based device
MAV
autopilots
elementary motion detector
insect-based visual motion sensors
lightweight low-power sensors
maximum permissible avionic payload
microaerial vehicle
natural scene
navigation safety
sensor fusion method
visual motion measurement
aerospace safety
aircraft navigation
autonomous aerial vehicles
avionics
image fusion
image motion analysis
motion measurement
natural scenes
robot vision
https://hal.archives-ouvertes.fr/hal-00716606
Contributor : Frédéric Roubieu <>
Submitted on : Tuesday, July 10, 2012 - 9:35:30 PM
Last modification on : Thursday, February 7, 2019 - 2:45:45 PM
Document(s) archivé(s) le : Thursday, December 15, 2016 - 10:13:27 PM
Contributor : Frédéric Roubieu <>
Submitted on : Tuesday, July 10, 2012 - 9:35:30 PM
Last modification on : Thursday, February 7, 2019 - 2:45:45 PM
Document(s) archivé(s) le : Thursday, December 15, 2016 - 10:13:27 PM
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IEEE_Sensors_Roubieu_et_al.pdf
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