A deep learning based hazardous materials (HAZMAT) sign detection robot with restricted computational resources
One of the most challenging and non-trivial tasks in robot-based rescue operations is the Hazardous Materials (HAZMAT) sign detection in dangerous operation fields, in order to prevent further unexpected disasters. Each HAZMAT sign has a specific meaning that the rescue robot should detect and inter...
Main Authors: | Amir Sharifi, Ahmadreza Zibaei, Mahdi Rezaei |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-12-01
|
Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000529 |
Similar Items
-
Development of Automation Recognition of Hazmat Marking Chart for Rescue Robot
by: Wisanu Jitviriya, et al.
Published: (2019-04-01) -
CREATING A RISK-BASED NETWORK FOR HAZMAT LOGISTICS BY ROUTE PRIORITIZATION WITH AHP
by: Watchara SATTAYAPRASERT
Published: (2008-01-01) -
HMD-Net: A Vehicle Hazmat Marker Detection Benchmark
by: Jia, L., et al.
Published: (2022) -
HMD-Net: A Vehicle Hazmat Marker Detection Benchmark
by: Jia, L., et al.
Published: (2022) -
Emergency Medical Services in CBRNE/HAZMAT Incidents
by: Arkadiusz Trzos, et al.
Published: (2019-12-01)