Tracking People in a Mobile Robot From 2D LIDAR Scans Using Full Convolutional Neural Networks for Security in Cluttered Environments

Tracking people has many applications, such as security or safe use of robots. Many onboard systems are based on Laser Imaging Detection and Ranging (LIDAR) sensors. Tracking peoples' legs using only information from a 2D LIDAR scanner in a mobile robot is a challenging problem because many leg...

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Bibliographische Detailangaben
Veröffentlicht in:Front Neurorobot
Hauptverfasser: Guerrero-Higueras, Ángel Manuel, Álvarez-Aparicio, Claudia, Calvo Olivera, María Carmen, Rodríguez-Lera, Francisco J., Fernández-Llamas, Camino, Rico, Francisco Martín, Matellán, Vicente
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2019
Schlagworte:
Neuroscience
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6332292/
https://ncbi.nlm.nih.gov/pubmed/30670960
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2018.00085
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