Demo Data from EDBT 2026 / reviewers in the wild / expert
Johann Blake
dblp:415/6413
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Legged, aerial and field robots · 50% Motion planning and robot control · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
aerial robots |
0.9 | 1 | 2025 | Aerial Coverage Path Planning in Nuclear Emergencies · IJCAI 2025 |
Robotics › Motion planning and robot control › path planning
coverage path planning |
0.9 | 1 | 2025 | Aerial Coverage Path Planning in Nuclear Emergencies · IJCAI 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Aerial Coverage Path Planning in Nuclear EmergenciesabstractWe formulate a Coverage Path Planning (CPP) problem for a helicopter or a UAV tasked with mapping ground-level radiation while avoiding radiation that is too strong. We introduce a simulation environment that incorporates digital elevation models, altitude-dependent measurement footprints and realistic flight constraints, as well as state-of-the-art radiation scenario simulations, such as nuclear explosions, provided by the German Federal Office for Radiation Protection. We highlight the complexity of radiological survey missions and demonstrate the necessity for new CPP approaches that address these unique challenges. The code to our simulation environment can be found under https://github.com/JohannBlake/Aerial-Coverage-Path-Planning-in-Nuclear-Emergencies. Johann Blake, Matthias Schubert |
IJCAI | 1 |