Workplan

Each project objective is broken down into appropriate activities, which will span a total duration of 30 months. The following table shows the activities and sub-objectives planned in each year.

 
Year Phase name Activities
2017 1. Comparative theoretical and experimental study of the state of the art methods in multispectral and multisensory environment perception; specifications; relative extrinsic parameters calibration of the sensors 1.1. Relative extrinsic parameters calibration: study of the existing methods, specification of mathematical models, development and implementation of original solutions (SO1.1, SO1.2)
1.2. Study of the multisensory and multispectral data alignment and 3D spatial-temporal and appearance based low level representation methods (SO2.1-1, SO2.2-1). Specifications.
1.3. Study of the obstacles detection and classification methods and representation and fusion of the high level sensory data. (SO3.1-1, SO3.2-1, SO3.3-1). Specifications.
2018 2. Development of original models and methods for multispectral and multisensory environment perception 2.1. Development of original models and methods for multisensory and multispectral data alignment and 3D spatial-temporal and appearance based low level representation (SO2.1-2, SO2.2-2). Implementation, testing, evaluation and optimization of the methods.
2.2. Development of the regions of interest generators for objects (SO3.1-2)
2.3. Development of the redundant multi-sensory and multi-spectral object classification mechanism (SO3.3-2)
2.4. Development of the annotation tool and construction of the training and testing datasets (SO3.2-2)
2.5. Demonstrator design (SO4.1-1)
2.6. Results disemination(SO4.2-1)
2019 3. Implementation, testing, evaluation and optimization of the original and methods for multispectral and multisensory environment perception 3.1. Implementation, testing, evaluation and optimization of the regions of interest generators for objects (SO3.1-3)
3.2. Implementation, testing, evaluation and optimization of the of the redundant multi-sensory and multi-spectral object classification mechanism (SO3.3-3)
3.3. Implementation, testing, evaluation and optimization of the demonstrator (SO4.1-2)
3.4. Results dissemination(SO4.2-2)