Y Zhu, C Zheng, C Yuan, X Huang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at outdoor large scale scenes …
YS Shin, YS Park, A Kim - 2018 IEEE International Conference …, 2018 - ieeexplore.ieee.org
This paper describes a framework for direct visual simultaneous localization and mapping (SLAM) combining a monocular camera with sparse depth information from Light Detection …
This paper presents a framework for direct visual-LiDAR SLAM that combines the sparse depth measurement of light detection and ranging (LiDAR) with a monocular camera. The …
A Merzlyakov, S Macenski - 2021 IEEE/RSJ International …, 2021 - ieeexplore.ieee.org
Advancing maturity in mobile and legged robotics technologies is changing the landscapes where robots are being deployed and found. This innovation calls for a transformation in …
In this letter a low-drift monocular SLAM method is proposed targeting indoor scenarios, where monocular SLAM often fails due to the lack of textured surfaces. Our approach …
The visual SLAM in dynamic environment has been regarded as a fundamental task for robots. Currently, existing works achieve good performance in only indoor scenes due to the …
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
F Zhou, L Zhang, C Deng, X Fan - Sensors, 2021 - mdpi.com
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to estimate camera trajectories. However, feature-based systems are usually not …
Z Wang, J Zhang, S Chen, C Yuan… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
In recent years, many excellent works on visual-inertial SLAM and laser-based SLAM have been proposed. Although inertial measurement unit (IMU) significantly improve the motion …