Title: Farfield Terrain Classification
1Far-field Terrain Classification
- Life in the Atacama Design ReviewDecember 19,
2003 - Alec Avedisyan
- CMU EPFL
2Description and Motivation
- Make a classification system, based on the
rovers sensors, to identify obstacles and target
which are in the middle range. - Traversability of the terrain
- Physical properties
3General Idea Illustration
4Key Requirements
Classification system has to fill the gap between
two information's ? - near field (0-7m) ? -
satellite imagery (30-infinite) ?
5Key Requirements
- Two approaches
- Semantic/Topologic
- A manner of describing the space by unspecified
areas (or object) - Image processing
- Image sequences, Features detector, Image filter,
etc - Geometric
- Modeling geometrical space, volumes, distances
- Stereo cameras
- 1D or 2D Laser
- Other sensors
6General Idea Semantic Illustration
7General Idea Semantic Illustration
Infinite Distant Far Near
8Toposementic - Implementation
- Features detector
- Filter (high frequencies, )
- Edges detector
- Color-based detector
- Fast Fourier Transform
9Geometric - Implementation
Stereo ? Yes, but Laser ? Yes, but
10Implementation Issues
- Determine algorithms for
- Stereo features detection for wide baseline
- Distance extraction
- Texture indexation
- Areas categorization
- Traversability estimator