[HTML][HTML] Advances in visual simultaneous localisation and mapping techniques for autonomous vehicles: A review
The recent advancements in Information and Communication Technology (ICT) as well as
increasing demand for vehicular safety has led to significant progressions in Autonomous …
increasing demand for vehicular safety has led to significant progressions in Autonomous …
RS-SLAM: A robust semantic SLAM in dynamic environments based on RGB-D sensor
T Ran, L Yuan, J Zhang, D Tang, L He - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Most of the state-of-the-art visual simultaneous localization and mapping (V-SLAM)
algorithms perform well in structured environments. However, the assumption of a static …
algorithms perform well in structured environments. However, the assumption of a static …
[HTML][HTML] Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review
J Peng, Y Hou, H Xu, T Li - EURASIP Journal on Wireless …, 2022 - Springer
In recent years, dynamic visual SLAM techniques have been widely used in autonomous
navigation, augmented reality, and virtual reality. However, the increasing demand for …
navigation, augmented reality, and virtual reality. However, the increasing demand for …
An improved adaptive ORB-SLAM method for monocular vision robot under dynamic environments
J Ni, X Wang, T Gong, Y Xie - International Journal of Machine Learning …, 2022 - Springer
The vision-based simultaneous localization and mapping (SLAM) method is a hot spot in the
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …
E3MoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
To solve the autonomous navigation problem in complex environments, an efficient motion
planning approach is newly presented in this paper. Considering the challenges from large …
planning approach is newly presented in this paper. Considering the challenges from large …
[HTML][HTML] PFD-SLAM: a new RGB-D SLAM for dynamic indoor environments based on non-prior semantic segmentation
C Zhang, R Zhang, S Jin, X Yi - Remote Sensing, 2022 - mdpi.com
Now, most existing dynamic RGB-D SLAM methods are based on deep learning or
mathematical models. Abundant training sample data is necessary for deep learning, and …
mathematical models. Abundant training sample data is necessary for deep learning, and …
[HTML][HTML] PLD-SLAM: A new RGB-D SLAM method with point and line features for indoor dynamic scene
C Zhang, T Huang, R Zhang, X Yi - ISPRS International Journal of Geo …, 2021 - mdpi.com
RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a
static environment. However, in dynamic scenes, dynamic features often cause wrong data …
static environment. However, in dynamic scenes, dynamic features often cause wrong data …
Cost-effective mapping of mobile robot based on the fusion of UWB and short-range 2-D LiDAR
Environment mapping is an essential prerequisite for mobile robots to perform different tasks
such as navigation and mission planning. With the availability of low-cost 2-D LiDARs, there …
such as navigation and mission planning. With the availability of low-cost 2-D LiDARs, there …
KSF-SLAM: a key segmentation frame based semantic SLAM in dynamic environments
Abstract Simultaneous Localization and Mapping is one of the hotspots in the field of mobile
intelligent robot research. Over the past decades, many excellent SLAM systems with good …
intelligent robot research. Over the past decades, many excellent SLAM systems with good …
A novel inertial-aided visible light positioning system using modulated LEDs and unmodulated lights as landmarks
Indoor localization with high accuracy and efficiency has attracted much attention. Due to
visible light communication (VLC), the LED lights in buildings, once modulated, hold great …
visible light communication (VLC), the LED lights in buildings, once modulated, hold great …