In this study, we developed a computationally efficient SLAM solution that is able to accomplish three tasks in real time.
Jul 19, 2024 · The results show that the proposed SLAM solution is computationally efficient by reducing the time consumption for building maps by 2/3; ...
People also ask
What is semantic slam?
What is semantic mapping strategy?
A Computationally Efficient Semantic SLAM Solution for Dynamic Scenes. Remote Sens. 2019, 11, 1363. https://doi.org/10.3390/rs11111363. AMA Style. Wang Z ...
Results demonstrate that the proposed SD-SLAM effectively mitigates the adverse effects of dynamic objects on SLAM, improving vehicle localization and mapping ...
DS-SLAM combines semantic segmentation network with moving consistency check method to reduce the impact of dynamic objects, and thus the localization accuracy ...
Missing: Computationally | Show results with:Computationally
This paper presents SOF-SLAM: Semantic Optical Flow SLAM, a visual semantic SLAM system toward dynamic environments, which is built on RGB-D mode of ORB- ...
Oct 22, 2024 · This paper addresses the problem of learning to complete a scene's depth from sparse depth points and images of indoor scenes. Specifically, we ...
Mar 15, 2023 · This paper proposes a new semantic segmentation method combining DeepLabV3+ and ORB-SLAM2 to improve the accuracy of pose.
Missing: Computationally Solution
Mar 30, 2023 · A real-time semantic SLAM method is proposed in this paper, combining knowledge distillation and dynamic probability propagation strategy.
Nov 17, 2022 · In dynamic scenes, the performance of current visual SLAM systems decreases significantly due to the interference of dynamic objects [12].