7 papers
Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution
David Zahrádka, David Woller, Denisa MužÃková +2
During the execution of Multi-Agent Path Finding (MAPF) plans in real-life applications, the MAPF assumption that the fleet's movement is perfectly synchronized does not apply. Sin…
Visual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection
Viktor Kozák, Karel Košnar, Jan Chudoba +2
Inspection systems utilizing unmanned aerial vehicles (UAVs) equipped with thermal cameras are increasingly popular for the maintenance of photovoltaic (PV) power plants. However,…
Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
Viktor Kozák, Jan Chudoba, Libor PÅeuÄil
An accurate and up-to-date model of a photovoltaic (PV) power plant is essential for its optimal operation and maintenance. However, such a model may not be easily available. This…
Variable Neighborhood Search for the Electric Vehicle Routing Problem
David Woller, Viktor Kozák, Miroslav Kulich +1
The Electric Vehicle Routing Problem (EVRP) extends the classical Vehicle Routing Problem (VRP) to reflect the growing use of electric and hybrid vehicles in logistics. Due to the…
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features
Václav TruhlaÅÃk, Tomáš PivoÅka, Michal Kasarda +1
Uniform and variable environments still remain a challenge for stable visual localization and mapping in mobile robot navigation. One of the possible approaches suitable for such e…
On Model-Free Re-ranking for Visual Place Recognition with Deep Learned Local Features
Tomáš PivoÅka, Libor PÅeuÄil
Re-ranking is the second stage of a visual place recognition task, in which the system chooses the best-matching images from a pre-selected subset of candidates. Model-free approac…