A comprehensive review on autonomous navigation
The field of autonomous mobile robots has undergone dramatic advancements over the past
decades. Despite achieving important milestones, several challenges are yet to be …
decades. Despite achieving important milestones, several challenges are yet to be …
Coin-lio: Complementary intensity-augmented lidar inertial odometry
P Pfreundschuh, H Oleynikova… - … on Robotics and …, 2024 - ieeexplore.ieee.org
We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples information
from LiDAR intensity with geometry-based point cloud registration. The focus of our work is …
from LiDAR intensity with geometry-based point cloud registration. The focus of our work is …
Pin-slam: Lidar slam using a point-based implicit neural representation for achieving global map consistency
Accurate and robust localization and mapping are essential components for most
autonomous robots. In this paper, we propose a SLAM system for building globally …
autonomous robots. In this paper, we propose a SLAM system for building globally …
LIO-EKF: High frequency LiDAR-inertial odometry using extended kalman filters
Odometry estimation is crucial for every autonomous system requiring navigation in an
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …
Photometric lidar and rgb-d bundle adjustment
The joint optimization of the sensor trajectory and 3D map is a crucial characteristic of
Simultaneous Localization and Mapping (SLAM) systems. To achieve this, the gold standard …
Simultaneous Localization and Mapping (SLAM) systems. To achieve this, the gold standard …
MAD-BA: 3D LiDAR Bundle Adjustment--from Uncertainty Modelling to Structure Optimization
The joint optimization of sensor poses and 3D structure is fundamental for state estimation in
robotics and related fields. Current LiDAR systems often prioritize pose optimization, with …
robotics and related fields. Current LiDAR systems often prioritize pose optimization, with …
From underground mines to offices: A versatile and robust framework for range-inertial SLAM
L Montano-Oliván, JA Placed… - 2024 7th Iberian …, 2024 - ieeexplore.ieee.org
Simultaneous Localization and Mapping (SLAM) is an essential component of autonomous
robotic applications and self-driving vehicles, enabling them to understand and operate in …
robotic applications and self-driving vehicles, enabling them to understand and operate in …
[PDF][PDF] LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters
YWTGL Wiesmann, LKCSH Kuhlmann - ipb.uni-bonn.de
Odometry estimation is crucial for every autonomous system requiring navigation in an
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …