Motion removal for reliable RGB-D SLAM in dynamic environments
RGB-D data-based Simultaneous Localization and Mapping (RGB-D SLAM) aims to
concurrently estimate robot poses and reconstruct traversed environments using RGB-D …
concurrently estimate robot poses and reconstruct traversed environments using RGB-D …
Robust dense mapping for large-scale dynamic environments
We present a stereo-based dense mapping algorithm for large-scale dynamic urban
environments. In contrast to other existing methods, we simultaneously reconstruct the static …
environments. In contrast to other existing methods, we simultaneously reconstruct the static …
A robust laser-inertial odometry and mapping method for large-scale highway environments
In this paper, we propose a novel laser-inertial odometry and mapping method to achieve
real-time, low-drift and robust pose estimation in large-scale highway environments. The …
real-time, low-drift and robust pose estimation in large-scale highway environments. The …
Cnn for very fast ground segmentation in velodyne lidar data
This paper presents a novel method for ground segmentation in Velodyne point clouds. We
propose an encoding of sparse 3D data from the Velodyne sensor suitable for training a …
propose an encoding of sparse 3D data from the Velodyne sensor suitable for training a …
Deep pose graph-matching-based loop closure detection for semantic visual SLAM
This work addresses the loop closure detection issue by matching the local pose graphs for
semantic visual SLAM. We propose a deep feature matching-based keyframe retrieval …
semantic visual SLAM. We propose a deep feature matching-based keyframe retrieval …
A Comprehensive Review of Vision-Based 3D Reconstruction Methods
L Zhou, G Wu, Y Zuo, X Chen, H Hu - Sensors, 2024 - mdpi.com
With the rapid development of 3D reconstruction, especially the emergence of algorithms
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …
Moving object detection by 3D flow field analysis
Map-based localization and sensing are one of the key components in autonomous driving
technologies, where high quality 3D map reconstruction is fundamentally utmost important …
technologies, where high quality 3D map reconstruction is fundamentally utmost important …
Active and interactive mapping with dynamic gaussian process implicit surfaces for mobile manipulators
In this letter, we present an interactive probabilistic mapping framework for a mobile
manipulator picking objects from a pile. The aim is to map the scene, actively decide where …
manipulator picking objects from a pile. The aim is to map the scene, actively decide where …
LiDAR-based Real-Time Object Detection and Tracking in Dynamic Environments
W Du, G Beltrame - arXiv preprint arXiv:2407.04115, 2024 - arxiv.org
In dynamic environments, the ability to detect and track moving objects in real-time is crucial
for autonomous robots to navigate safely and effectively. Traditional methods for dynamic …
for autonomous robots to navigate safely and effectively. Traditional methods for dynamic …
Multi-modal semantic slam for complex dynamic environments
Simultaneous Localization and Mapping (SLAM) is one of the most essential techniques in
many real-world robotic applications. The assumption of static environments is common in …
many real-world robotic applications. The assumption of static environments is common in …