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Pavel Petrácek

4 accepted papers

2024

RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation

RA-L 2024

The typical point cloud sampling methods used in state estimation for mobile robots preserve a high level of point redundancy. This redundancy unnecessarily slows down the estimation pipeline and may cause drift under real-time constraints. Such undue latency becomes a bottleneck for resource-constr

Cited by 12SourcecodeScholar
2021

Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles

RA-L 2021

This letter presents a self-contained system for the robust utilization of aerial robots in the autonomous exploration of cave environments to help human explorers, first responders, and speleologists. The proposed system is generally applicable to an arbitrary exploration task within an unknown and

Cited by 86SourceScholar
2020

Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles

RA-L 2020

A Reflectance Transformation Imaging technique (RTI) realized by multi-rotor Unmanned Aerial Vehicles (UAVs) with a focus on deployment in difficult to access buildings is presented in this letter. RTI is a computational photographic method that captures a surface shape and color of a subject and en

Cited by 23SourceScholar
2020

Dronument: System for Reliable Deployment of Micro Aerial Vehicles in Dark Areas of Large Historical Monuments

RA-L 2020

This letter presents a self-contained system for robust deployment of autonomous aerial vehicles in environments without access to global navigation systems and with limited lighting conditions. The proposed system, application-tailored for documentation in dark areas of large historical monuments,

Cited by 37SourceScholar