PERSENS > Workplan

Stages and activities

2009 Study of the relevant scenarios requirements. (O1.1) - Study of possible road configurations.
- Study of object geometry and motion.
- Study of types of object classes.
2009 Study the state of the art approaches (O1.2) - Study of the sensorial perception approaches.
- Study of the aproaches in road detection.
- Study of the object detection approaches.
- Study of the classification approaches.
2010 Modelling the performance and functionality of the sensorial system (O2.1) - Modelling of the precision of 3D reconstruction
- Modeling of causes, nature and amplitude of errors.
- Modelling and sensor responses adaptation at different external difficult conditions.
- Sensorial answer correction affected by extreme conditions.
  Defining and development of the unified multimodal sensorial representation (O3.1) - Definition of the unified multimodal sensorial information representation model
- Development of original methods for the fusion of sensorial information provided by intensity, color and depth sensors.
  Quantitative and qualitative evaluation of the modern modeling techniques in the field (O1.3) - Geometric road models evaluation.
- Geometric objects models evaluation.
- Object classes models evaluation.
  Quantitative and qualitative evaluation of the state of the art algorithms in the field (O1.4) - Sensorial perception algorithms evaluation.
- Road detection algorithms evaluation.
- Object detection algorithms evaluation.
- Classification algorithms evaluation.
  Designing of new models for environment classes and world model representation (O2.2) - Ellaboration of new models for road representation.
- Ellaboration of new models for object representation.
- Ellaboration of new models for classes of objects representation.
- Ellaboration of an integrated world model that responds to the requirements of the driving assistance systems.
  Ellaboration of probabilistic inference models based on sensorial information (O2.3) - Probabilistinc inference model ellaboration for road estimation.
- Probabilistic inference model ellaboration for object estimation.
- Probabilistic model ellaboration for classification.
  Ellaboration of classification and estimation algorithms (O3.2) - Road estimation algorithm ellaboration.
- The ellaboration of algorithms for objects’ parameters estimation.
- Classification algorithms ellaboration.
  Definition the performance models for the algorithms and the world representation (O4.2) - Carry out tests in controlled environments.
- Ellaboration of mathematical models for algorithms performance.
- Ellaboration of mathematical models for the performance of the environment representation.
- Estimation of the parameters for algorithms performance and representation.
  Definition of interaction models between the estimators of different environment aspects (O3.3) - The study of the relation between the results of road estimation, objects and classification.
- Interaction modelling.
- Interaction-based algorithms optimisation
  Ellaboration of a functional demo prototype for the evaluation of the sensorial’s system utility and for representation from the point of view of the driving assistance systems requirements (O4.1) - The development of a hardware-software real time sensorial processing system.
- The implementation of an driving assistance application.
- The evaluation of the performances and utilities of the sensorial and representation system.
  Publishing of results (O4.3) Ellaboration and publication of scientific papers