Semantic SLAM for mobile robots in dynamic environments based on visual camera sensors
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd1a4
Abstract: Visual simultaneous localization and mapping (vSLAM) is inherently constrained by the static world assumption, which renders success in the presence of dynamic objects rather challenging. In this paper, we propose a real-time semantic vSLAM system… read more here.
Keywords: robots dynamic; dynamic environments; slam mobile; camera ... See more keywords
Semantic SLAM Based on Improved DeepLabv3⁺ in Dynamic Scenarios
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3154086
Abstract: Simultaneous Localization and Mapping (SLAM) plays an irreplaceable role in the field of artificial intelligence. The traditional visual SLAM algorithm is stable assuming a static environment, but has lower robustness and accuracy in dynamic scenes,… read more here.
Keywords: improved deeplabv3; system; slam; geometry ... See more keywords
An FPGA Based Energy Efficient DS-SLAM Accelerator for Mobile Robots in Dynamic Environment
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11041828
Abstract: The Simultaneous Localization and Mapping (SLAM) algorithm is a hotspot in robot application research with the ability to help mobile robots solve the most fundamental problems of “localization” and “mapping”. The visual semantic SLAM algorithm… read more here.
Keywords: fpga based; semantic slam; energy; environment ... See more keywords