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Terrain Classification Using Clustering Algorithms
Third International Conference on Natural Computation (ICNC 2007), 2007Texture analysis has been efficiently utilized in the area of terrain classification. The widely used co-occurrence features have been reported most effective for this application. Since the number of co-occurrence features is very high, a terrain classifier based on co-occurrence features should deal with high dimensionality problem.
Dong-Min Woo +4 more
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Terrain Image Classification with SVM
2013Remote sensing is an important tool in a variety of scientific researches which can help to study and solve many practical environmental problems. Classification of remote sensing image, however, is usually complex in many respects that a lot of different ground objects show mixture distributions in space and change with temporal variations. Therefore,
Mu-Song Chen, Chi-Pan Hwang, Tze-Yee Ho
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Single-parameter terrain classification for terrain following
Journal of Aircraft, 1980To avoid excessive simulation of terrain following flights, it is desirable to have a method to classify terrain with regard to its suitability for terrain following. Analytical expressions for the probability of crashing (Pc) for a terrain-following missile indicate that the variances oe and ae, of missile altitude error and error rate, respectively ...
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SVMs for Vibration-Based Terrain Classification
2007When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn a discrimination between different surfaces and to classify the current terrain. Recently, we presented a method that uses Support Vector Machines for classification, and we
Christian Weiss +2 more
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Speed Independent Terrain Classification
2006 Proceeding of the Thrity-Eighth Southeastern Symposium on System Theory, 2006Today's autonomous vehicles operate within an increasingly larger set of environments compared to earlier research in which environments were more controlled. In particular, unmanned ground vehicles (UGVs) must be able to travel on whatever terrain the mission offers, including sand, mud, or even snow.
E.M. DuPont, R.G. Roberts, C.A. Moore
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Performance analysis and terrain classification for a legged robot over rough terrain
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012Minimally actuated millirobotic crawlers navigate unreliably over uneven terrain-even when designed with inherent stability-mostly because of manufacturing variabilities and a lack of good models for ground interaction. In this paper, we investigate the performance of a legged robot as it traverses three distinct rough terrains: tile, carpet, and ...
Fernando Garcia Bermudez +4 more
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Evolving gaits for increased discriminability in terrain classification
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007Limbs are an attractive approach to certain niche robotic applications, such as urban search and rescue, that require both small size and the ability to locomote through highly rubbled terrain. Unfortunately, a large number of degrees of freedom implies there is a large space of non- optimal locomotion trajectories (gaits), making gait adaptation ...
Amy C. Larson +3 more
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Polsar Terrain Classification Based on Denoising-CNN
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Terrain classification plays an important role in understanding Polari- metric Synthetic Aperture Radar (PolSAR) image intuitively. In the process of classification, feature extraction is critical. However, the preprocess of speckle noise filtering affects the effectiveness of the feature extractor which influences the accuracy of classification ...
Yanhe Guo +5 more
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Key Learning Features as Means for Terrain Classification
2014Modern vehicles seek autonomous subsystems adaptability to ever-changing terrain types in pursuit of enhanced drivability and maneuverability. The impact of key features on the classification accuracy of terrain types using a colour camera is investigated.
Ionut Gheorghe +4 more
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