A comprehensive overview of core modules in visual SLAM framework
D Cai, R Li, Z Hu, J Lu, S Li, Y Zhao - Neurocomputing, 2024 - Elsevier
Abstract Visual Simultaneous Localization and Map** (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …
key technology in autonomous driving and robot navigation. Relying on camera sensors …
An RGB-D SLAM algorithm based on adaptive semantic segmentation in dynamic environment
S Wei, Z Li - Journal of Real-Time Image Processing, 2023 - Springer
When the existing visual SLAM (simultaneous localization and map**) algorithms are
applied to dynamic environments, the pose error estimated by the system often increases …
applied to dynamic environments, the pose error estimated by the system often increases …
Lt-mapper: A modular framework for lidar-based lifelong map**
Long-term 3D map management is a fundamental capability required by a robot to reliably
navigate in the non-stationary real-world. This paper develops open-source, modular, and …
navigate in the non-stationary real-world. This paper develops open-source, modular, and …
Fusing event-based camera and radar for slam using spiking neural networks with continual stdp learning
This work proposes a first-of-its-kind SLAM architecture fusing an event-based camera and a
Frequency Modulated Continuous Wave (FMCW) radar for drone navigation. Each sensor is …
Frequency Modulated Continuous Wave (FMCW) radar for drone navigation. Each sensor is …
Corb2i-slam: An adaptive collaborative visual-inertial slam for multiple robots
The generation of robust global maps of an unknown cluttered environment through a
collaborative robotic framework is challenging. We present a collaborative SLAM framework …
collaborative robotic framework is challenging. We present a collaborative SLAM framework …