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 …
[HTML][HTML] Cyber–physical system architecture of autonomous robot ecosystem for industrial asset monitoring
Driven by advancements in Industry 4.0, the Internet of Things (IoT), digital twins (DT), and
cyber–physical systems (CPS), there is a growing interest in the digitalizing of asset integrity …
cyber–physical systems (CPS), there is a growing interest in the digitalizing of asset integrity …
Customizable perturbation synthesis for robust slam benchmarking
Robustness is a crucial factor for the successful deployment of robots in unstructured
environments, particularly in the domain of Simultaneous Localization and Mapping (SLAM) …
environments, particularly in the domain of Simultaneous Localization and Mapping (SLAM) …
Key Technologies and Applications of UAVs in Underground Space: A Review
Robots, particularly unmanned aerial vehicles (UAVs), offer significant advantages in
challenging environments. Their application in searching and exploring underground areas …
challenging environments. Their application in searching and exploring underground areas …
LIVER: A tightly coupled LiDAR-inertial-visual state estimator with high robustness for underground environments
In this letter, we propose a tightly coupled LiDAR-inertial-visual (LIV) state estimator termed
LIVER, which achieves robust and accurate localization and mapping in underground …
LIVER, which achieves robust and accurate localization and mapping in underground …
Relead: Resilient localization with enhanced lidar odometry in adverse environments
LiDAR-based localization is valuable for applications like mining surveys and underground
facility maintenance. However, existing methods can struggle when dealing with …
facility maintenance. However, existing methods can struggle when dealing with …
Toward Certifying Maps for Safe Registration-Based Localization Under Adverse Conditions
In this letter, we propose a way to model the resilience of the Iterative Closest Point (ICP)
algorithm in the presence of corrupted measurements. In the context of autonomous …
algorithm in the presence of corrupted measurements. In the context of autonomous …
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
C Chung, G Georgakis, P Spieler… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Understanding terrain topology at long-range is crucial for the success of off-road robotic
missions, especially when navigating at high-speeds. LiDAR sensors, which are currently …
missions, especially when navigating at high-speeds. LiDAR sensors, which are currently …
Graph-based adaptive weighted fusion SLAM using multimodal data in complex underground spaces
Accurate and robust simultaneous localization and mapping (SLAM) is essential for
autonomous exploration, unmanned transportation, and emergency rescue operations in …
autonomous exploration, unmanned transportation, and emergency rescue operations in …
DRIVE: Data-driven Robot Input Vector Exploration
D Baril, SP Deschênes, L Coupal… - … on Robotics and …, 2024 - ieeexplore.ieee.org
An accurate motion model is a fundamental component of most autonomous navigation
systems. While much work has been done on improving model formulation, no standard …
systems. While much work has been done on improving model formulation, no standard …