Evidence map›Paper›PMID 28287484›Full record

ArticleSensors (Basel, Switzerland)2017

Time-of-Travel Methods for Measuring Optical Flow on Board a Micro Flying Robot.

Erik Vanhoutte, Stefano Mafrica, Franck Ruffier, Reinoud J Bootsma, Julien Serres

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Erik VanhoutteAix-Marseille Université, CNRS, ISM UMR7287, 13288 Marseille Cedex 09, France. erik.vanhoutte@univ-amu.fr.
Stefano MafricaAix-Marseille Université, CNRS, ISM UMR7287, 13288 Marseille Cedex 09, France. stefano.mafrica@mpsa.com.
Franck RuffierAix-Marseille Université, CNRS, ISM UMR7287, 13288 Marseille Cedex 09, France. franck.ruffier@univ-amu.fr.
Reinoud J BootsmaAix-Marseille Université, CNRS, ISM UMR7287, 13288 Marseille Cedex 09, France. reinoud.bootsma@univ-amu.fr.
Julien SerresAix-Marseille Université, CNRS, ISM UMR7287, 13288 Marseille Cedex 09, France. julien.serres@univ-amu.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For use in autonomous micro air vehicles, visual sensors must not only be small, lightweight and insensitive to light variations; on-board autopilots also require fast and accurate optical flow measurements over a wide range of speeds. Using an auto-adaptive bio-inspired Michaelis-Menten Auto-adaptive Pixel (M 2 APix) analog silicon retina, in this article, we present comparative tests of two optical flow calculation algorithms operating under lighting conditions from 6 × 10 - 7 to 1 . 6 × 10 - 2 W·cm - 2 (i.e., from 0.2 to 12,000 lux for human vision). Contrast "time of travel" between two adjacent light-sensitive pixels was determined by thresholding and by cross-correlating the two pixels' signals, with measurement frequency up to 5 kHz for the 10 local motion sensors of the M 2 APix sensor. While both algorithms adequately measured optical flow between 25 ∘ /s and 1000 ∘ /s, thresholding gave rise to a lower precision, especially due to a larger number of outliers at higher speeds. Compared to thresholding, cross-correlation also allowed for a higher rate of optical flow output (99 Hz and 1195 Hz, respectively) but required substantially more computational resources.

Indexed as

bio-inspired roboticsbionicsbioroboticsmicro air vehicle (MAV)optic flow sensorsense and avoidVLSI retina

Identifiers

PMID28287484
PMCPMC5375857

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.