Terrain discrimination by radar image polarization comparison.
Correlation of like and cross polarized side- looking radar images with geologic features for terrain discrimination
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Correlation of like and cross polarized side- looking radar images with geologic features for terrain discrimination
Objectives, methods, and results of Gemini 4 synoptic terrain photography experiment
Microwave propagation reliability over selected terrain in optical paths
This paper presents a novel information fusion methodology for intelligent terrain analysis.
An application of octrees for registering and merging multiresolution terrain models is presented and some of the associated tools are discussed.
This paper presents novel measures of terrain traversability at three different scales of resolution; namely local, regional, and global traversability indices.
This paper presents a novel global path planning method for field mobile robots operating on rough natural terrain.
An application for registering and merging multiresolution terrain models is presented and some of the associated tools are discussed.
The Demo III program has as its primary focus the development of autonomous mobility for a small rugged cross country vehicle. In this paper we report recent progress on both stereo-based obstacle detection and terrain cover color-based classification.
A geocoding procedure for remotely sensed data of airborne systems in rugged terrain is affected by several factors: buffeting of the aircraft by turbulances, variations in ground speed, changes in altitude, attitude variations, and surface topography.
Planetary surface mobility has to date been limited to benign locations. If rover systems could be developed for more challenging terrain, e.g., sloped and irregularly feathered areas, then planetary science opportunities would be greatly expanded.
This paper presents a novel multi-sensor information fusion methodology for intelligent terrain characterization.
This paper will review the utilization of terrain modelling for immersive environments in support of MER.
The driving precision landing requirement for the Autonomous Landing and Hazard Avoidance Technology project is to autonomously land within 100m of a predetermined location on the lunar surface. Traditional lunar landing approaches based on inertial sensing do not have the navigational precision to meet this requirement. The purpose of Terrain Relative Navigation (TRN) is to augment inertial navigation by providing position or bearing measurements relative to known surface landmarks. From these measurements, the navigational precision can be reduced to a level that meets the 100m requirement. There are three different TRN functions: global position estimation, local position estimation and velocity estimation. These functions can be achieved with active range sensing or passive imaging. This paper gives a survey of many TRN approaches and then presents some high fidelity simulation results for contour matching and area correlation approaches to TRN using active sensors. Since TRN requires an a-priori reference map, the paper concludes by describing past and future lunar imaging and digital elevation map data sets available for this purpose.
We conclude that Bladed Terrain on Pluto is a deposit of massive CH4, which preferentially precipitates at high elevations, and has since its initial formation, undergone episodes of sublimation erosion that has given this deposit its characteristic texture.
We describe techniques to optimally select landmarks in order to perform mobile robot localization in matching terrain maps.
The nature, origin and evolution of the polar layered terrains are a major mystery of Martian climate.
In this paper we introduce a general framework for an image based autonomous rock detection process for Martian terrain. A rock detection algorithm, based on this framework, is described and demonstrated on examples of real Mars Rover data. An attempt is made to produce a system that is independent of parameters to ease on-board implementation for real time in-situ operation.