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

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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Bibliographic Details
Main Authors: Ángel Manuel Guerrero-Higueras, Claudia Álvarez-Aparicio, María Carmen Calvo Olivera, Francisco J. Rodríguez-Lera, Camino Fernández-Llamas, Francisco Martín Rico, Vicente Matellán
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Neurorobotics
Subjects:
convolutional networks
LIDAR
people tracking
robotics
cluttered environment
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2018.00085/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2018.00085/full

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