HELIMAP: Rapid Large Scale Mapping Using Handheld LiDAR/CCD/GPS/INS Sensors on Helicopters

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The rapid development of autonomous driving and mobile mapping calls for off-the-shelf LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various complex scenarios. To this end, we propose MULLS, an efficient, low-drift, and ve ...

We have recently released in the open domain data originating from a series of flights conducted with a fixed-wing micro UAV carrying high-quality small camera and navigation sensors. This data was previously used in several peer-reviewed publications. How ...

Centimetre level precision mapping is essential for many applications such as land-use, infrastructure inspection, cultural heritage preservation, and construction site monitoring. However, the acquisition and its preparation (in particular the setting of ...

Drone mapping with GNSS-assisted photogrammetry is a highly efficient method for surveying small -or medium- sized areas. However, the mapping quality is not intuitively predictable, particularly in complex environments (with steep and cluttered terrain), ...

Photogrammetry and Laser-Scanning are usually considered as complementary. Integration of these two observation methods has the potential to blend their individual advantages. The resulting benefit is likely to be higher in drone airborne mapping, which pa ...

We introduce a three step procedure to improve attitude determination by MEMS-IMU sensors on board a small UAV. IMU pre-calibration is performed first and only once in the lab; second in a simplified version and for every switch-on in the field. Together, ...

This study aimed to introduce and validate a new method to estimate and correct the orientation drift measured from foot-worn inertial sensors. A modified strap-down integration (MSDI) was proposed to decrease the orientation drift, which, in turn, was fur ...

In this paper, comprehensive pulsar-based Guidance, Navigation and Control (GNC) system is designed and applied to satellites formation flying. The complete autonomy of the X-ray pulsar navigation technology provides both absolute and relative positioning ...

Euclidean distance matrices (EDMs) are a major tool for localization from distances, with applications ranging from protein structure determination to global positioning and manifold learning. They are, however, static objects which serve to localize point ...

Following the cultural revolution of the late 1960s, the number of elite and recreational runners rose consistently, reaching approximately 7.9 million road races participants in 2018. Today, running is everywhere. City parks, forests, mountain trails, and ...

A novel approach to autonomous navigation for small UAVs was recently introduced by the authors. An abridged description of this approach can be found in present paper, with its main contribution being further evaluation of effects of wind on navigation pe ...

HELIMAP: Rapid Large Scale Mapping Using Handheld LiDAR/CCD/GPS/INS Sensors on Helicopters

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MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

Fixed-wing micro UAV open data with digicam and raw INS/GNSS

On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning

Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

Fusion of Photo with Airborne Laser Scanning

On the calibration aspects of MEMS-IMUs used in micro UAVs for sensor orientation

Drift-Free Foot Orientation Estimation in Running Using Wearable IMU

X-ray pulsar-based GNC system for formation flying in high Earth orbits

Kinetic Euclidean Distance Matrices

Assessment of Real-World Running With Lab-Validated Algorithms Based on Foot-Worn Inertial Sensors

Evaluation of Wind Effects on UAV Autonomous Navigation Based on Vehicle Dynamic Model