ARD-SLAM: Accurate and robust dynamic SLAM using dynamic object identification and improved multi-view geometrical approaches-Reference-Cited by-同舟云学术

ARD-SLAM: Accurate and robust dynamic SLAM using dynamic object identification and improved multi-view geometrical approaches

Published:2024-04 Issue: Volume:82 Page:102654
ISSN:0141-9382
Container-title:Displays
language:en
Short-container-title:Displays

Author:

Ul Islam Qamar,Ibrahim Haidi,Kok Chin Pan,Lim Kevin,Zaid Abdullah Mohd,Khozaei Fatemeh

Publisher

Elsevier BV

Reference58 articles.

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2. Robust monocular SLAM in dynamic environments;Tan;IEEE Int. Sympos. Mixed Augment. Reality (ISMAR),2013

3. A survey of deep learning techniques for autonomous driving;Grigorescu;J. Field Rob.,2020

4. Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented reality;Jinyu;Virtual Reality Intell. Hardware,2019

5. Ul Islam, Q., Ibrahim, H., Chin, P. K., Lim, K., & Abdullah, M. Z. Yolov8-Slam: Accurate and Dynamic Slam for Crowded Places.Haidi and Chin, Pan Kok and Lim, Kevin and Abdullah, Mohd Zaid, Yolov8-Slam: Accurate and Dynamic Slam for Crowded Places.

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1. A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments;Expert Systems with Applications;2024-12

2. YOD-SLAM: An Indoor Dynamic VSLAM Algorithm Based on the YOLOv8 Model and Depth Information;Electronics;2024-09-12

3. Fusing differentiable rendering and language–image contrastive learning for superior zero-shot point cloud classification;Displays;2024-09

4. Fusing Differentiable Rendering and Language-Image Contrastive Learning for Superior Zero-Shot Point Cloud Classification;2024