Demo Data from EDBT 2026 / reviewers in the wild / expert
Jose-de-Jesus Rico-Jimenez
dblp:94/7734
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0003-4022-3228ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
1 paper |
Robot navigation and mapping · 33% 3D vision · 33% Motion planning and robot control · 33% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › path planning › coverage path planning
complete coverage |
0.1 | 1 | 2009 | Optimal camera placement for total coverage · ICRA 2009 |
Robotics › Robot navigation and mapping › sensor planning
sensor placement |
0.1 | 1 | 2009 | Optimal camera placement for total coverage · ICRA 2009 |
Computer vision › 3D vision
visual localization |
0.1 | 1 | 2009 | Optimal camera placement for total coverage · ICRA 2009 |
Mathematical optimization › discrete optimization
binary integer programming |
0.0 | 1 | 2009 | Optimal camera placement for total coverage · ICRA 2009 |
Mathematical optimization
discrete optimization |
0.0 | 1 | 2009 | Optimal camera placement for total coverage · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
occupancy grid mapping · 0.2binary integer programming · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Optimal camera placement for total coverageabstractIn this document, we study the problem of optimally placing a mixture of directional and omnidirectional cameras. In our solution, the workspace is represented by an occupancy grid map [1]. Then, using surface-projected workspace and camera perception models, we develop a binary integer programming algorithm. The results of the algorithm are applied successfully to a variety of simulated scenarios. José-Joel González-Barbosa, Teresa García-Ramírez, Joaquín Salas, Juan-Bautista Hurtado-Ramos, Jose-de-Jesus Rico-Jimenez |
ICRA | 5 |