[HTML][HTML] A review of multi-sensor fusion slam systems based on 3D LIDAR
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 …
[HTML][HTML] Role of deep learning in loop closure detection for visual and lidar slam: A survey
Loop closure detection is of vital importance in the process of simultaneous localization and
mapping (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …
mapping (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …
Fast-lio2: Fast direct lidar-inertial odometry
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
R LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and Mapping
In this letter, we propose a robust, real-time tightly-coupled multi-sensor fusion framework,
which fuses measurements from LiDAR, inertial sensor, and visual camera to achieve robust …
which fuses measurements from LiDAR, inertial sensor, and visual camera to achieve robust …
Loam livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV
LiDAR odometry and mapping (LOAM) has been playing an important role in autonomous
vehicles, due to its ability to simultaneously localize the robot's pose and build high …
vehicles, due to its ability to simultaneously localize the robot's pose and build high …
Balm: Bundle adjustment for lidar mapping
A local Bundle Adjustment (BA) on a sliding window of keyframes has been widely used in
visual SLAM and proved to be very effective in lowering the drift. But in lidar SLAM, BA …
visual SLAM and proved to be very effective in lowering the drift. But in lidar SLAM, BA …
A fast LiDAR place recognition and localization method by fusing local and global search
Place recognition is an important branch of Simultaneous Localization and Mapping
(SLAM), which finds revisited places, thereby reducing error accumulations. Most …
(SLAM), which finds revisited places, thereby reducing error accumulations. Most …
Std: Stable triangle descriptor for 3d place recognition
In this work, we present a novel global descriptor termed stable triangle descriptor (STD) for
3D place recognition. For a triangle, its shape is uniquely determined by the length of the …
3D place recognition. For a triangle, its shape is uniquely determined by the length of the …
A review of high-definition map creation methods for autonomous driving
Autonomous driving has been among the most popular and challenging topics in the past
few years. Among all modules in autonomous driving, High-definition (HD) map has drawn …
few years. Among all modules in autonomous driving, High-definition (HD) map has drawn …
A survey on 3d lidar localization for autonomous vehicles
M Elhousni, X Huang - 2020 IEEE Intelligent Vehicles …, 2020 - ieeexplore.ieee.org
LiDAR sensors are becoming one of the most essential sensors in achieving full autonomy
for self driving cars. LiDARs are able to produce rich, dense and precise spatial data, which …
for self driving cars. LiDARs are able to produce rich, dense and precise spatial data, which …