Related to close field of research of the e-Motion team-project, these softwares are not used anymore by the researchers of our research team.
Grid Occupany Wavelets (GROW).
People involved : Manuel Yguel, Francis Colas, David Raulo.
These software components are C++ libraries for designing applications that build dense representation of the occupancy function of a environment from telemetric sensor measurements either 2D or 3D. It is available for Linux. This Grid Occupany Wavelets software components are declared under the french APP declaration and has been used to scientific experiments.
People involved : Cesar Mendoza, Kenneth Sundaraj, Christian Laugier.
This library provides efficient tools for deformable object simulation. It is patented under the french APP patent #IDDN.FR.001.210025.000.S.P.2004.000.10000.
Markov models toolbox.
People involved : Olivier Aycard.
This toolbox is a C++ library for prototyping applications for interpretation of temporal sequences of noisy data. It is available for Linux and PC Windows (Visual C++). The Markov models toolbox has two main components: (i) a definition of Markov models and learning of its parameters component. This component permits to manually define the topology of a Markov model, and to automatically learns the parameters of the defined model. Original learning algorithms have also been developped to automatically build the topology of the model and estimate its parameters. The result of this part is a set of Markov models, where each model is trained (ie, estimated) to recognize a particular type of temporal sequence of noisy data. (ii) an interpretation component. Its goal is to interpret a temporal sequence of noisy data and to determine the most probable corresponding Markov models. This Markov models toolbox is patented under the french APP patent #IDDN.FR.001.280011.000.S.P.2004.000.10000 and has been used to perform a preliminay study of recognition of behaviours of a car driver in cooperation with TOYOTA and also to interpret sequence of noisy sensor data of mobile robots.