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Lidar odometry survey: recent advancements and remaining challenges
Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …
methods like global positioning system are unavailable. The main goal of odometry is to …
Recent developments and applications of simultaneous localization and map** in agriculture
H Ding, B Zhang, J Zhou, Y Yan, G Tian… - Journal of field …, 2022 - Wiley Online Library
Abstract Simultaneous Localization and Map** (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …
sensors to position an unmanned mobile vehicle without previous knowledge of the …
Point‐LIO: Robust high‐bandwidth light detection and ranging inertial odometry
Herein, point light detection and ranging inertial odometry (LIO) is presented: a robust and
high‐bandwidth light detection and ranging (LiDAR) inertial odometry with the capability to …
high‐bandwidth light detection and ranging (LiDAR) inertial odometry with the capability to …
Tightly coupled 3d lidar inertial odometry and map**
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 …
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 …
Towards high-performance solid-state-lidar-inertial odometry and map**
We present a novel tightly-coupled LiDAR-inertial odometry and map** scheme for both
solid-state and mechanical LiDARs. As frontend, a feature-based lightweight LiDAR …
solid-state and mechanical LiDARs. As frontend, a feature-based lightweight LiDAR …
Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes
We present a robust and precise localization system that achieves centimeter-level
localization accuracy in disparate city scenes. Our system adaptively uses information from …
localization accuracy in disparate city scenes. Our system adaptively uses information from …
Review on LiDAR-based SLAM techniques
L Huang - 2021 International conference on signal processing …, 2021 - ieeexplore.ieee.org
LiDAR-based Simultaneous Localization and Map** (LiDAR-SLAM) uses the LiDAR
sensor to localize itself by observing environmental features and incrementally build the …
sensor to localize itself by observing environmental features and incrementally build the …
GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain
Simultaneous localization and map** is a fundamental process in robot navigation. We
focus on LiDAR to complete this process in ground robots traveling on complex terrain by …
focus on LiDAR to complete this process in ground robots traveling on complex terrain by …
Research on GNSS INS & GNSS/INS integrated navigation method for autonomous vehicles: A survey
Y He, J Li, J Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Autonomous Vehicles have become the focus of research around the world. Meanwhile, the
continuous development of various emerging technologies in recent years has paved the …
continuous development of various emerging technologies in recent years has paved the …