[HTML][HTML] Visual slam: What are the current trends and what to expect?

A Tourani, H Bavle, JL Sanchez-Lopez, H Voos - Sensors, 2022‏ - mdpi.com
In recent years, Simultaneous Localization and Map** (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …

Visual SLAM integration with semantic segmentation and deep learning: A review

H Pu, J Luo, G Wang, T Huang, H Liu - IEEE Sensors Journal, 2023‏ - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …

Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review

L Wijayathunga, A Rassau, D Chai - Applied Sciences, 2023‏ - mdpi.com
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

Simultaneous localization and map** (slam) for autonomous driving: Concept and analysis

S Zheng, J Wang, C Rizos, W Ding, A El-Mowafy - Remote Sensing, 2023‏ - mdpi.com
The Simultaneous Localization and Map** (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

An overview of key SLAM technologies for underwater scenes

X Wang, X Fan, P Shi, J Ni, Z Zhou - Remote Sensing, 2023‏ - mdpi.com
Autonomous localization and navigation, as an essential research area in robotics, has a
broad scope of applications in various scenarios. To widen the utilization environment and …

[HTML][HTML] SLAM overview: From single sensor to heterogeneous fusion

W Chen, C Zhou, G Shang, X Wang, Z Li, C Xu, K Hu - Remote Sensing, 2022‏ - mdpi.com
After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

Overview of underwater 3D reconstruction technology based on optical images

K Hu, T Wang, C Shen, C Weng, F Zhou, M ** based on deep learning
Y Zhang, Y Wu, K Tong, H Chen, Y Yuan - remote sensing, 2023‏ - mdpi.com
Due to the limitations of LiDAR, such as its high cost, short service life and massive volume,
visual sensors with their lightweight and low cost are attracting more and more attention and …