Demo Data from VLDB 2026 / reviewers in the wild / expert
John Hinrichsen
dblp:80/1242
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1
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
2 papers |
Multi-agent systems · 70% Motion planning and robot control · 30% | |
| Theoretical computer science
2 papers |
Computational geometry · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
pursuit-evasion |
0.0 | 1 | 2001 | Visibility-based pursuit-evasion: the case of curved environments · IEEE Trans. Robotics Autom. 2001 |
Robotics › Motion planning and robot control › motion planning › geometric motion planning
cell decomposition |
0.0 | 1 | 1999 | Visibility-Based Pursuit-Evasion: The Case of Curved Environments · ICRA 1999 |
Knowledge, reasoning and agents › Multi-agent systems › pursuit-evasion
visibility-based pursuit-evasion |
0.0 | 1 | 1999 | Visibility-Based Pursuit-Evasion: The Case of Curved Environments · ICRA 1999 |
Computational geometry › geometric data structures › space partitioning
cell decomposition |
0.0 | 1 | 1999 | Visibility-Based Pursuit-Evasion: The Case of Curved Environments · ICRA 1999 |
Methods — techniques the papers use, named apart from their topics
critical visibility events · 0.1bitangent analysis · 0.1visibility analysis · 0.0cell decomposition · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Visibility-based pursuit-evasion: the case of curved environmentsabstractWe consider the problem of visually searching for an unpredictable target that can move arbitrarily fast in a simply-connected two-dimensional curved environment. A complete algorithm is presented and is based on critical visibility events that occur because of inflections and bitangents on the environment boundary. By generalizing the notion of inflections and bitangents to polygonal and piecewise-smooth environments, the approach is considered as a step toward developing pursuit-evasion strategies that have little dependency on the representation of the environment. Steven M. LaValle, John Hinrichsen |
IEEE Trans. Robotics Autom. | 2 |
| 1999 | Visibility-Based Pursuit-Evasion: The Case of Curved EnvironmentsabstractWe consider the problem of visually searching for an unpredictable target that can move arbitrarily fast in a simply-connected, curved, two-dimensional environment. A complete algorithm is presented that is guaranteed to find the elusive target if it is possible for a single pursuer. The key to the algorithm is a cell decomposition based on critical visibility events that occur because of inflections and bitangents of the environment boundary. We have implemented the cell decomposition algorithm, and show several computed examples. The technique is an extension and simplification of a previous technique for searching a polygonal environment. Our solution can also be considered as a step towards a unified approach to pursuit-evasion strategies that have little dependency on the representation of the environment. Steven M. LaValle, John Hinrichsen |
ICRA | 2 |