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Present and future of slam in extreme environments: The darpa subt challenge
This article surveys recent progress and discusses future opportunities for simultaneous
localization and map** (SLAM) in extreme underground environments. SLAM in …
localization and map** (SLAM) in extreme underground environments. SLAM in …
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 …
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 …
LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments
Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale
underground environments requires high-precision localization and map**. This crucial …
underground environments requires high-precision localization and map**. This crucial …
Locus 2.0: Robust and computationally efficient lidar odometry for real-time 3d map**
Lidar odometry has attracted considerable attention as a robust localization method for
autonomous robots operating in complex GNSS-denied environments. However, achieving …
autonomous robots operating in complex GNSS-denied environments. However, achieving …
Direct lidar-inertial odometry: Lightweight lio with continuous-time motion correction
Aggressive motions from agile flights or traversing irregular terrain induce motion distortion
in LiDAR scans that can degrade state estimation and map**. Some methods exist to …
in LiDAR scans that can degrade state estimation and map**. Some methods exist to …
X-icp: Localizability-aware lidar registration for robust localization in extreme environments
Modern robotic systems are required to operate in challenging environments, which demand
reliable localization under challenging conditions. LiDAR-based localization methods, such …
reliable localization under challenging conditions. LiDAR-based localization methods, such …
Present and future of slam in extreme underground environments
K Ebadi, L Bernreiter, H Biggie, G Catt, Y Chang… - ar** (SLAM) technology has prevailed
in a wide range of applications, such as autonomous driving, intelligent robots, Augmented …
in a wide range of applications, such as autonomous driving, intelligent robots, Augmented …