Results 251 to 260 of about 287,687 (294)

Single-parameter terrain classification for terrain following

Journal of Aircraft, 1980
To 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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Terrain Image Classification with SVM

2013
Remote 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, Chipan Hwang, Tze-Yee Ho
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Probabilistic terrain classification in unstructured environments

Robotics and Autonomous Systems, 2013
Autonomous navigation in unstructured environments is a complex task and an active area of research in mobile robotics. Unlike urban areas with lanes, road signs, and maps, the environment around our robot is unknown and unstructured. Such an environment requires careful examination as it is random, continuous, and the number of perceptions and ...
Marcel Häselich, Marc Arends, Nicolai Wojke, Frank Neuhaus, Dietrich Paulus   +4 more
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Online Terrain Classification for Mobile Robots

Dynamic Systems and Control, Parts A and B, 2005
Today’s autonomous vehicles operate in an increasingly general set of circumstances. In particular, unmanned ground vehicles (UGV’s) must be able to travel on whatever terrain the mission offers, including sand, mud, or even snow. These terrains can affect the performance and controllability of the vehicle.
Edmond M. DuPont, Rodney G. Roberts, Majura F. Selekwa, Carl A. Moore, Emmanual G. Collins   +4 more
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Segmentation-based Terrain Classification

2008
Terrain analysis is based on a set of methods and techniques developed since the 19 Century addressing a broad range of application domains. Classification is a key scientific approach to extracting information and ultimately knowledge from data collections. Terrain classification prepares information from digital terrain models for various application
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Terrain Classification by Sequential Algorithms

1991
This paper presents several strategies developed for classification of terrain regions, based on the SPRT algorithm (Sequential Probability Ratio Test [1]). The SPRT algorithm is considered to be appropriate to two-class-classification and will be extended by the introduced strategies for resolution of multi-class-classification problems.
Y. Huang, P. Zamperoni
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Spectral LiDAR analysis for terrain classification

SPIE Proceedings, 2017
Data from the Optech Titan airborne laser scanner were collected over Monterey, CA, in three wavelengths (532 nm, 1064 nm, and 1550 nm), in May 2016, by the National Center for Airborne LiDAR Mapping (NCALM). Analysis techniques have been developed using spectral technology largely derived from the analysis of spectral imagery.
Charles A. McIver, Jeremy P. Metcalf, Richard C. Olsen   +2 more
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A terrain classification method based on wheel-terrain contact force

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Terrain classification is essential for accurately identifying the terrain and providing valuable information for controlling, planning, and navigation algorithms of wheeled vehicle. A novel terrain classification algorithm based on wheel-terrain interaction is proposed for wheeled vehicles in this paper.
Guoyu Lin, Dong Wang, Fan Yang, Shenghu Xie   +3 more
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Terrain Traversability Classification Based on SVDD

2019 Chinese Automation Congress (CAC), 2019
Terrain travel classification is one of the most important content for robot autonomous navigation, especially in terms of following robots. For this reason, a novel travel ability classification method which is suitable for following robots are studied in this paper.
Hui Zhang, Pei Wang, Youpan Zhang, Haiying Liu, Yongguo Zhao, Guangliang Liu   +5 more
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LRF-Based Road Terrain Classification

2019
The utilization of an accelerometer is supposed to estimate the road profile from which the spatial features are extracted. However, the estimated road profile only represents the curvature of the terrain on the vehicle’s moving orientation. Here, it is proposed to employ the LRF sensor to represent the road surface which would contain substantial ...
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