VDO-SLAM: a visual dynamic object-aware SLAM system
Combining Simultaneous Localisation and Mapping (SLAM) estimation and dynamic scene
modelling can highly benefit robot autonomy in dynamic environments. Robot path planning …
modelling can highly benefit robot autonomy in dynamic environments. Robot path planning …
Semanticposs: A point cloud dataset with large quantity of dynamic instances
3D semantic segmentation is one of the key tasks for autonomous driving system. Recently,
deep learning models for 3D semantic segmentation task have been widely researched, but …
deep learning models for 3D semantic segmentation task have been widely researched, but …
Dynamic SLAM: The need for speed
The static world assumption is standard in most simultaneous localisation and mapping
(SLAM) algorithms. Increased deployment of autonomous systems to unstructured dynamic …
(SLAM) algorithms. Increased deployment of autonomous systems to unstructured dynamic …
On crop height estimation with UAVs
Remote sensing by Unmanned Aerial Vehicles (UAVs) is changing the way agriculture
operates by increasing the spatial-temporal resolution of data collection. Micro-UAVs have …
operates by increasing the spatial-temporal resolution of data collection. Micro-UAVs have …
Landmark based radar SLAM using graph optimization
F Schuster, CG Keller, M Rapp… - 2016 IEEE 19th …, 2016 - ieeexplore.ieee.org
On the way to achieving higher degrees of autonomy for vehicles in complicated, ever
changing scenarios, the localization problem poses a very important role. Especially the …
changing scenarios, the localization problem poses a very important role. Especially the …
DDL-SLAM: A robust RGB-D SLAM in dynamic environments combined with deep learning
Y Ai, T Rui, M Lu, L Fu, S Liu, S Wang - Ieee Access, 2020 - ieeexplore.ieee.org
Visual Simultaneous Localization and Mapping (VSLAM) has developed as the basic ability
of robots in past few decades. There are a lot of open-sourced and impressive SLAM …
of robots in past few decades. There are a lot of open-sourced and impressive SLAM …
[HTML][HTML] A multi-sensorial simultaneous localization and mapping (SLAM) system for low-cost micro aerial vehicles in GPS-denied environments
One of the main challenges of aerial robots navigation in indoor or GPS-denied
environments is position estimation using only the available onboard sensors. This paper …
environments is position estimation using only the available onboard sensors. This paper …
Automatic background construction and object detection based on roadside LiDAR
High-resolution micro traffic data are important to traffic safety and efficiency analysis. In this
study, a roadside LiDAR sensor is used to collect 3D point clouds of surrounding objects. An …
study, a roadside LiDAR sensor is used to collect 3D point clouds of surrounding objects. An …
Credibilist occupancy grids for vehicle perception in dynamic environments
In urban environments, moving obstacles detection and free space determination are key
issues for driving assistance systems and autonomous vehicles. When using lidar sensors …
issues for driving assistance systems and autonomous vehicles. When using lidar sensors …
[HTML][HTML] Sensor fusion-based approach to eliminating moving objects for SLAM in dynamic environments
X Dang, Z Rong, X Liang - Sensors, 2021 - mdpi.com
Accurate localization and reliable mapping is essential for autonomous navigation of robots.
As one of the core technologies for autonomous navigation, Simultaneous Localization and …
As one of the core technologies for autonomous navigation, Simultaneous Localization and …