MA Butt, F Riaz - Signal Processing: Image Communication, 2022 - Elsevier
Vision-based object detection and scene understanding are becoming key features of environment perception and autonomous driving. In the past couple of years, numerous …
S Bouraine, A Bougouffa, O Azouaoui - Evolutionary Intelligence, 2022 - Springer
In this paper, an evolutionary scan-matching approach is proposed to solve an optimization issue in simultaneous localization and mapping (SLAM). A rich literature has been invested …
This paper proposes an effective global path planning technique for cellular-connected UAVs to enhance the reliability of unmanned aerial vehicles'(UAVs) flights operating beyond …
One of the most frequently used approaches to represent collaborative mapping are probabilistic occupancy grid maps. These maps can be exchanged and integrated among …
WFA Wan Aasim, M Okasha, WF Faris - Journal of Intelligent & Robotic …, 2022 - Springer
This paper aims to review current approaches for real-time artificial intelligence-based visual Simultaneous Localization and Mapping (vSLAM) operating in dynamic environments …
Y Zhao, H Yu, K Zhang, Y Zheng, Y Zhang, D Zheng… - Optics …, 2023 - opg.optica.org
Simultaneous localization and mapping (SLAM) plays an important role in autonomous driving, indoor robotics and AR/VR. Outdoor SLAM has been widely used with the …
As an important technology in 3D mapping, autonomous driving, and robot navigation, LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised …
Searching corresponding features between two consecutive point cloud sequences is a key step in frame-to-frame matching. Utilizing multi-resolution strategy and voxel model which …
Y Xiao, L Li, X Li, J Yao - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Two-view structure from motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM (vSLAM). Many existing end-to-end learning-based methods usually formulate it as a …