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https://hdl.handle.net/10356/78423
Title: | Semantic-based mobile robot 3D mapping using deep learning algorithm | Authors: | Zhao, Chunyang | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics | Issue Date: | 2019 | Abstract: | Scene understanding ability is crucial for robots to execute high-level tasks related to human-robot interaction, by method named semantic simultaneously localization and mapping (SLAM), robots can obtain such ability. But current semantic SLAM facing many challenges such as illumination change and dynamic objects. This final year project is focused on studying 3D semantic mapping part of semantic SLAM, based on this, to build a robust 3D semantic SLAM system in future. | URI: | http://hdl.handle.net/10356/78423 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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FYP Report-ZCY.pdf Restricted Access | 3.8 MB | Adobe PDF | View/Open |
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