Semantic SLAM for Dynamic Environments Using Cameras
碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 107 === Typically, simultaneous localization and mapping (SLAM) algorithms are assumed to be performed in the stationary environments only. However, there are ordinarily moving cars and people in the real world. Such a strict assumption restricts its usability espec...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/krqsms |