FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion
Semantic segmentation of urban scenes is an essential component in various applications
of autonomous driving. It makes great progress with the rise of deep learning technologies …
of autonomous driving. It makes great progress with the rise of deep learning technologies …
[HTML][HTML] Semantic mapping for mobile robots in indoor scenes: A survey
X Han, S Li, X Wang, W Zhou - Information, 2021 - mdpi.com
Sensing and mapping its surroundings is an essential requirement for a mobile robot.
Geometric maps endow robots with the capacity of basic tasks, eg, navigation. To co-exist …
Geometric maps endow robots with the capacity of basic tasks, eg, navigation. To co-exist …
Deep learning based 3D segmentation: A survey
3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving, robotics, augmented reality and medical image …
applications in autonomous driving, robotics, augmented reality and medical image …
Survey and evaluation of RGB-D SLAM
S Zhang, L Zheng, W Tao - IEEE Access, 2021 - ieeexplore.ieee.org
The traditional visual SLAM systems take the monocular or stereo camera as input sensor,
with complex map initialization and map point triangulation steps needed for 3D map …
with complex map initialization and map point triangulation steps needed for 3D map …
Adversarial attack against urban scene segmentation for autonomous vehicles
Understanding the surrounding environment is crucial for autonomous vehicles to make
correct driving decisions. In particular, urban scene segmentation is a significant integral …
correct driving decisions. In particular, urban scene segmentation is a significant integral …
Dynamic RGB-D SLAM based on static probability and observation number
Y Liu, Y Wu, W Pan - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
This article proposes a simultaneous localization and mapping (SLAM) method for RGB-D
cameras in dynamic scenes, which can effectively overcome the influence of dynamic …
cameras in dynamic scenes, which can effectively overcome the influence of dynamic …
Improving visual localization accuracy in dynamic environments based on dynamic region removal
Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …
recent decades. Although many state-of-the-art algorithms have been proposed, great …
An adaptive visual dynamic-SLAM method based on fusing the semantic information
The SLAM problem in dynamic scenes is regarded as a challenge. This article proposes a
novel SLAM framework for dynamic environments, which combines neural network and …
novel SLAM framework for dynamic environments, which combines neural network and …
The STDyn-SLAM: A stereo vision and semantic segmentation approach for VSLAM in dynamic outdoor environments
D Esparza, G Flores - IEEE Access, 2022 - ieeexplore.ieee.org
The Visual Simultaneous Localization and Mapping (VSLAM) is a system based on the
scene's features to estimate a map and the system pose. Commonly, VSLAM algorithms are …
scene's features to estimate a map and the system pose. Commonly, VSLAM algorithms are …
Robust stereo visual slam for dynamic environments with moving object
G Li, X Liao, H Huang, S Song, B Liu, Y Zeng - IEEE Access, 2021 - ieeexplore.ieee.org
The accuracy of localization and mapping of automated guided vehicles (AGVs) using visual
simultaneous localization and mapping (SLAM) is significantly reduced in a dynamic …
simultaneous localization and mapping (SLAM) is significantly reduced in a dynamic …