Voxel-based representation learning for place recognition based on 3d point clouds
Place recognition is a critical component towards addressing the key problem of
Simultaneous Localization and Mapping (SLAM). Most existing methods use visual images; …
Simultaneous Localization and Mapping (SLAM). Most existing methods use visual images; …
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation
Vision-based object detection and scene understanding are becoming key features of
environment perception and autonomous driving. In the past couple of years, numerous …
environment perception and autonomous driving. In the past couple of years, numerous …
Particle swarm optimization for solving a scan-matching problem based on the normal distributions transform
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 …
issue in simultaneous localization and mapping (SLAM). A rich literature has been invested …
3D global path planning optimization for cellular-connected UAVs under link reliability constraint
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 …
UAVs to enhance the reliability of unmanned aerial vehicles'(UAVs) flights operating beyond …
Feature-based occupancy map-merging for collaborative slam
One of the most frequently used approaches to represent collaborative mapping are
probabilistic occupancy grid maps. These maps can be exchanged and integrated among …
probabilistic occupancy grid maps. These maps can be exchanged and integrated among …
Real-time artificial intelligence based visual simultaneous localization and mapping in dynamic environments–a review
This paper aims to review current approaches for real-time artificial intelligence-based visual
Simultaneous Localization and Mapping (vSLAM) operating in dynamic environments …
Simultaneous Localization and Mapping (vSLAM) operating in dynamic environments …
Fpp-slam: indoor simultaneous localization and mapping based on fringe projection profilometry
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 …
driving, indoor robotics and AR/VR. Outdoor SLAM has been widely used with the …
Cae-lo: Lidar odometry leveraging fully unsupervised convolutional auto-encoder for interest point detection and feature description
As an important technology in 3D mapping, autonomous driving, and robot navigation,
LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised …
LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised …
3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration
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 …
step in frame-to-frame matching. Utilizing multi-resolution strategy and voxel model which …
Deepmle: A robust deep maximum likelihood estimator for two-view structure from motion
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 …
SLAM (vSLAM). Many existing end-to-end learning-based methods usually formulate it as a …