Daniel A. Martins
University of Aveiro
6 Papers
128 Citations
Daniel A. Martins is an academic researcher from University of Aveiro. The author has contributed to research in topics: Object detection & Machine vision. The author has an hindex of 5, co-authored 6 publications.
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Papers
An efficient omnidirectional vision system for soccer robots: From calibration to object detection
TL;DR: An efficient omnidirectional vision system for real-time object detection, developed for the robotic soccer team of the University of Aveiro, CAMBADA, and an efficient approach for detecting arbitrary FIFA balls, which is an important topic of research in the Middle Size League.
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A hybrid vision system for soccer robots using radial search lines
António J. R. Neves,Daniel A. Martins,Armando J. Pinho +2 more
- 01 Jan 2007
TL;DR: A set of algorithms for efficiently extracting the color information of the acquired images and, in a second phase, for extracting the information of all objects of interest are presented.
CAMBADA Soccer Team: from Robot Architecture to Multiagent Coordination
António J. R. Neves,José Luís Azevedo,Bernardo Cunha,Nuno Lau,João Silva,Frederico Santos,Gustavo Corrente,Daniel A. Martins,Nuno Figueiredo,Artur Pereira,Luis Almeida,Luís Seabra Lopes,Armando J. Pinho,João M. O. S. Rodrigues,Paulo Pedreiras +14 more
- 01 Jan 2010
TL;DR: The main contribution of this chapter is to present the new advances in the areas described above involving the development of an MSL team of soccer robots, taking the example of the CAMBADA team that won the RoboCup 2008 and attained the third place in the last edition of the MSL tournament at RoboCups 2009.
CAMBADA'2008: Team Description Paper
José Luís Azevedo,Nuno Lau,Gustavo Corrente,António J. R. Neves,M. B. Cunha,Frederico Santos,Artur Pereira,Luis Almeida,Luís Seabra Lopes,Paulo Pedreiras,José Vieira,Daniel A. Martins,Nuno Figueiredo,João Silva,Nelson Filipe,I. Pinheiro +15 more
- 01 Jan 2008
TL;DR: This paper describes the CAMBADA middle-size robotic soccer team for the purpose of qualification to RoboCup'2008 and makes improvements mostly in the vision system, in the high-level coordination and control and in the information int egration and localization.
Finite-Context Models for DNA Coding
Armando J. Pinho,António J. R. Neves,Daniel A. Martins,Carlos A. C. Bastos,Paulo J. S. G. Ferreira +4 more
- 01 Mar 2010
TL;DR: This chapter proposed a three-state finite-context model for DNA protein-coding regions, i.e., for the parts of the DNA that carry information regarding how proteins are synthesized, and proved to be better than a singlestate model, giving additional evidence of a phenomenon that is common in these proteincoding regions.