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John Hinrichsen

dblp:80/1242 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
pursuit-evasion
0.012001
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
0.011999
Visibility-Based Pursuit-Evasion: The Case of Curved Environments · ICRA 1999
Knowledge, reasoning and agents › Multi-agent systems › pursuit-evasion
visibility-based pursuit-evasion
0.011999
Visibility-Based Pursuit-Evasion: The Case of Curved Environments · ICRA 1999
Computational geometry › geometric data structures › space partitioning
cell decomposition
0.011999
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
YearPublicationVenuePosition
2001 Visibility-based pursuit-evasion: the case of curved environments
abstract
We 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 Environments
abstract
We 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
ICRA2