scholarly journals Mobile Mapping of Sporting Event Spectators Using Bluetooth Sensors: Tour of Flanders 2011

Sensors ◽  
2012 ◽  
Vol 12 (10) ◽  
pp. 14196-14213 ◽  
Author(s):  
Mathias Versichele ◽  
Tijs Neutens ◽  
Stephanie Goudeseune ◽  
Frederik van Bossche ◽  
Nico Van de Weghe
Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2595
Author(s):  
Balakrishnan Ramalingam ◽  
Abdullah Aamir Hayat ◽  
Mohan Rajesh Elara ◽  
Braulio Félix Gómez ◽  
Lim Yi ◽  
...  

The pavement inspection task, which mainly includes crack and garbage detection, is essential and carried out frequently. The human-based or dedicated system approach for inspection can be easily carried out by integrating with the pavement sweeping machines. This work proposes a deep learning-based pavement inspection framework for self-reconfigurable robot named Panthera. Semantic segmentation framework SegNet was adopted to segment the pavement region from other objects. Deep Convolutional Neural Network (DCNN) based object detection is used to detect and localize pavement defects and garbage. Furthermore, Mobile Mapping System (MMS) was adopted for the geotagging of the defects. The proposed system was implemented and tested with the Panthera robot having NVIDIA GPU cards. The experimental results showed that the proposed technique identifies the pavement defects and litters or garbage detection with high accuracy. The experimental results on the crack and garbage detection are presented. It is found that the proposed technique is suitable for deployment in real-time for garbage detection and, eventually, sweeping or cleaning tasks.


Author(s):  
Kiichiro Ishikawa ◽  
Jun-ichi Takiguchi ◽  
Yoshiharu Amano ◽  
Takumi Hashizume

2016 ◽  
Vol 25 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Héctor V. Jiménez-Naranjo ◽  
José Luis Coca-Pérez ◽  
Milagros Gutiérrez-Fernández ◽  
Antonio Fernández-Portillo
Keyword(s):  

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