TY - GEN
T1 - A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands
AU - Kounalakis, Tsampikos
AU - Malinowski, Michal Jerzy
AU - Chelini, Leandro
AU - Triantafyllidis, Georgios A.
AU - Nalpantidis, Lazaros
PY - 2018/12/14
Y1 - 2018/12/14
N2 - In this paper, we describe the vision system of a robot prototype that operates in dairy farm grasslands and detects the presence of the harmful Broad-leaved dock (Rumex obtusifolius L.). Image data were collected using the prototype robot from 3 fields in 2 different countries under real conditions. The proposed recognition and detection system is using solely 2D visual input and is based on state-of-the-art Convolutional Neural Networks (CNNs), which were used for high level feature extraction in combination with various examined classifiers. Gathered data were used to experimentally show that the proposed system yields state-of-the-art detection and recognition performance, while being able to keep low false-positive rates under challenging operation conditions.
AB - In this paper, we describe the vision system of a robot prototype that operates in dairy farm grasslands and detects the presence of the harmful Broad-leaved dock (Rumex obtusifolius L.). Image data were collected using the prototype robot from 3 fields in 2 different countries under real conditions. The proposed recognition and detection system is using solely 2D visual input and is based on state-of-the-art Convolutional Neural Networks (CNNs), which were used for high level feature extraction in combination with various examined classifiers. Gathered data were used to experimentally show that the proposed system yields state-of-the-art detection and recognition performance, while being able to keep low false-positive rates under challenging operation conditions.
UR - http://www.scopus.com/inward/record.url?scp=85060692285&partnerID=8YFLogxK
U2 - 10.1109/IST.2018.8577153
DO - 10.1109/IST.2018.8577153
M3 - Article in proceeding
AN - SCOPUS:85060692285
SN - 978-1-5386-6629-6
T3 - IEEE International Conference on Imaging Systems and Techniques (IST)
BT - 2018 IEEE International Conference on Imaging Systems and Techniques (IST)
PB - IEEE
CY - Krakow, Poland
T2 - 2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018
Y2 - 16 October 2018 through 18 October 2018
ER -