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Lingeshwaran Palaniappan

dblp:61/5665 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 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.

Theoretical computer science
2 papers
Computational geometry · 81% Information theory · 19%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
curve similarity
0.012003
Finding a curve in a map · SCG 2003
Computational geometry › curve similarity
fréchet distance
0.012003
Finding a curve in a map · SCG 2003
Computational geometry
motion planning
0.012003
Optimal strategies to track and capture a predictable target · ICRA 2003
Information theory › estimation theory › state estimation
target tracking
0.012003
Optimal strategies to track and capture a predictable target · ICRA 2003
Computational geometry
visibility
0.012003
Optimal strategies to track and capture a predictable target · ICRA 2003
Robotics › Motion planning and robot control
motion planning
0.012003
Optimal strategies to track and capture a predictable target · ICRA 2003
Computational geometry
geometric graph
0.012003
Finding a curve in a map · SCG 2003

Methods — techniques the papers use, named apart from their topics

shortest path algorithms · 0.0computational geometry algorithms · 0.0computational geometry algorithm · 0.0
YearPublicationVenuePosition
2007 Buddy tracking - efficient proximity detection among mobile friends
Arnon Amir, Alon Efrat, Jussi Myllymaki, Lingeshwaran Palaniappan, Kevin Wampler
Pervasive Mob. Comput.4
2003 Finding a curve in a map
abstract
Given a polygonal curve and a geometric graph, we describe an efficient algorithm to find a path in the graph which is most similar to the curve, using the well-known Fréchet distance for curves.
Carola Wenk, Helmut Alt, Alon Efrat, Lingeshwaran Palaniappan, Günter Rote
SCG4
2003 Optimal strategies to track and capture a predictable target
abstract
We present an O(nlog/sup 1+/spl epsiv// n)-time algorithm for computing the optimal robot motion that maintains line-of-sight visibility between a target moving inside a polygon with n vertices which may contain holes. The motion is optimal for the tracking robot (the observer) in the sense that the target either remains visible for the longest possible time, or it is captured by the observer in the minimum time when feasible. Thus, the algorithm maximizes the minimum time-to-escape. Our algorithm assumes that the target moves along a known path. Thus, it is an off-line algorithm. Our theoretical results for the algorithm's runtime assume that the target is moving along a shortest path from its source to its destination. This assumption, however is not required to prove the optimality of the computed solution, hence the algorithm remains correct for the general case.
Alon Efrat, Héctor H. González-Baños, Stephen G. Kobourov, Lingeshwaran Palaniappan
ICRA4