Autonomous Toy Drone via Coresets for Pose Estimation.

autonomous sensors for micro drones caratheodory coresets indoor navigation and mapping localization pose estimation

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
27 May 2020
Historique:
received: 09 05 2020
revised: 23 05 2020
accepted: 24 05 2020
entrez: 31 5 2020
pubmed: 31 5 2020
medline: 31 5 2020
Statut: epublish

Résumé

A coreset of a dataset is a small weighted set, such that querying the coreset provably yields a ( 1 + ε )-factor approximation to the original (full) dataset, for a given family of queries. This paper suggests accurate coresets ( ε = 0 ) that are subsets of the input for fundamental optimization problems. These coresets enabled us to implement a "Guardian Angel" system that computes pose-estimation in a rate > 20 frames per second. It tracks a toy quadcopter which guides guests in a supermarket, hospital, mall, airport, and so on. We prove that any set of

Identifiants

pubmed: 32471199
pii: s20113042
doi: 10.3390/s20113042
pmc: PMC7308973
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Soliman Nasser (S)

Robotics & Big Data Labs, University of Haifa, 3498838 Haifa, Israel.

Ibrahim Jubran (I)

Robotics & Big Data Labs, University of Haifa, 3498838 Haifa, Israel.

Dan Feldman (D)

Robotics & Big Data Labs, University of Haifa, 3498838 Haifa, Israel.

Classifications MeSH