TY  - GEN
AU  - Burguera, Antoni
AU  - Bonin-Font, Francisco
PY  - 2020
DO  - 10.3390/jmse8080557
UR  - https://hdl.handle.net/20.500.12105/22979
AB  - This paper proposes a method to perform on-line multi-class segmentation of Side-Scan Sonar acoustic images, thus being able to build a semantic map of the sea bottom usable to search loop candidates in a SLAM context. The proposal follows three main...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute (MDPI)
KW  - Sonar
KW  - Underwater robotics
KW  - Acoustic image segmentation
KW  - Neural network
TI  - On-Line Multi-Class Segmentation of Side-Scan Sonar Imagery Using an Autonomous Underwater Vehicle
TY  - research article
ER  -