Interpretation of laser/multi-sensor data for short range terrain modeling and hazard detection

Computer Science – Performance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Data Processing, Hazards, Mapping, Mathematical Models, Planetary Surfaces, Surface Properties, Terrain Analysis, Algorithms, Computerized Simulation, Layouts, Roving Vehicles, Terrain, Topography

Scientific paper

A terrain modeling algorithm that would reconstruct the sensed ground images formed by the triangulation scheme, and classify as unsafe any terrain feature that would pose a hazard to a roving vehicle is described. This modeler greatly reduces quantization errors inherent in a laser/sensing system through the use of a thinning algorithm. Dual filters are employed to separate terrain steps from the general landscape, simplifying the analysis of terrain features. A crosspath analysis is utilized to detect and avoid obstacles that would adversely affect the roll of the vehicle. Computer simulations of the rover on various terrains examine the performance of the modeler.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Interpretation of laser/multi-sensor data for short range terrain modeling and hazard detection does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Interpretation of laser/multi-sensor data for short range terrain modeling and hazard detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Interpretation of laser/multi-sensor data for short range terrain modeling and hazard detection will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1276181

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.