Aug 2, 2019 · We introduce the semantic segmentation method into the Lidar SLAM system to get rid of the dynamic outliers in the process of localization and ...
We use semantic segmentation to get rid of dynamic outliers, and then achieve motion estimation and environment reconstruction. We evaluate our method on the ...
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What is LiDAR semantic segmentation?
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Do SLAM research and application of semantic SLAM system towards dynamic environments based on object detection?
What is semantic information in SLAM?
This integrated system ensures not only high-precision robot localization but also high-quality point cloud map construction in dynamic environments. Li et al.
This study proposes a new SLAM system for dynamic environments, YOEC-DSLAM. YOEC-DSLAM combines a lightweight semantic segmentation network and a multi-view ...
In this paper, we focus on reducing the impact of dynamic objects in vision-based SLAM by combining semantic segmentation network with optical flow method and.
Missing: Lidar | Show results with:Lidar
This paper introduces DZ-SLAM, a dynamic SLAM algorithm that does not require any prior knowledge, based on ORB-SLAM3, to handle unknown dynamic elements in ...
Semantic segmentation results can reveal potential moving objects in the environment, which can help SLAM filter out moving objects in the feature tracking and ...
DS-SLAM combines semantic segmentation network with moving consistency check method to reduce the impact of dynamic objects, and thus the localization accuracy ...
Oct 18, 2022 · In this paper, we propose a semantic lidar-inertial SLAM approach with the combination of a point cloud semantic segmentation network and lidar-inertial SLAM ...
Nov 7, 2023 · This paper proposes a semantic SLAM system for dynamic environments based on object detection named DO-SLAM.