[HTML][HTML] A survey of state-of-the-art on visual SLAM
This paper is an overview to Visual Simultaneous Localization and Mapping (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
A review of multi-sensor fusion slam systems based on 3D LIDAR
X Xu, L Zhang, J Yang, C Cao, W Wang, Y Ran, Z Tan… - Remote Sensing, 2022 - mdpi.com
The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …
positioning in a large-scale environment has become increasingly demanding, in which …
Tightly coupled 3d lidar inertial odometry and mapping
Ego-motion estimation is a fundamental requirement for most mobile robotic applications. By
sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide …
sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide …
A comparative analysis of LiDAR SLAM-based indoor navigation for autonomous vehicles
Simultaneous localization and mapping (SLAM) is a fundamental technique block in the
indoor-navigation system for most autonomous vehicles and robots. SLAM aims at building …
indoor-navigation system for most autonomous vehicles and robots. SLAM aims at building …
Ct-icp: Real-time elastic lidar odometry with loop closure
P Dellenbach, JE Deschaud, B Jacquet… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous
cars for localization and perception tasks, both relying on the ability to build a precise map of …
cars for localization and perception tasks, both relying on the ability to build a precise map of …
Lins: A lidar-inertial state estimator for robust and efficient navigation
We present LINS, a lightweight lidar-inertial state estimator, for real-time ego-motion
estimation. The proposed method enables robust and efficient navigation for ground …
estimation. The proposed method enables robust and efficient navigation for ground …
Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
LiTAMIN2: Ultra light LiDAR-based SLAM using geometric approximation applied with KL-divergence
In this paper, a three-dimensional light detection and ranging simultaneous localization and
mapping (SLAM) method is proposed that is available for tracking and mapping with 500 …
mapping (SLAM) method is proposed that is available for tracking and mapping with 500 …
WHU-helmet: a helmet-based multisensor SLAM dataset for the evaluation of real-time 3-D mapping in large-scale GNSS-denied environments
Real-time 3-D mapping of large-scale global navigation satellite system (GNSS)-denied
environments plays an important role in forest inventory management, disaster emergency …
environments plays an important role in forest inventory management, disaster emergency …
Locus: Lidar-based place recognition using spatiotemporal higher-order pooling
K Vidanapathirana, P Moghadam… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Place Recognition enables the estimation of a globally consistent map and trajectory by
providing non-local constraints in Simultaneous Localisation and Mapping (SLAM). This …
providing non-local constraints in Simultaneous Localisation and Mapping (SLAM). This …