Results 251 to 260 of about 26,694 (289)
Off-road terrain classification [PDF]
Journal of Terramechanics, 2023 Road traffic accidents place a burden on the global economy. This impact is reduced by the development of safer vehicles. Advanced Driver Assist Systems (ADAS) aim to reduce the frequency and severity of accidents. ADASs are designed to operate in well-defined environments, such as first world urban areas.
Fritz, Lafras +2 more
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Supervised Terrain Classification with Adaptive Unsupervised Terrain Assessment
SAE International Journal of Advances and Current Practices in Mobility, 2021 <div class="section abstract"><div class="htmlview paragraph">Off road navigation demands ground robots to traverse complex and often changing terrain. Classification and assessment of terrain can improve path planning strategies by reducing travel time and energy consumption.
Akhil Kurup +4 more
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Acoustics based terrain classification for legged robots
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 Legged robots offer a more versatile solution to traversing outdoor uneven terrain compared to their wheeled and tracked counterparts. They also provide a unique opportunity to perceive the terrain-robot interactions by listening to the sounds generated during locomotion.
Christie, Joshua, Kottege, Navinda
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Open-ended texture classification for terrain mapping
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002 This paper introduces a new classification scheme called “open-ended texture classification”. The standard approach for texture classification is to use a closed n-class classifier based on the Bayesian paradigm. These perform supervised classification, whereby all the texture classes have to be predefined.
Paget, Rupert, Longstaff, I. Dennis
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Terrain classification for a UGV
SPIE Proceedings, 2005This work addresses the issue of Terrain Classification that can be applied for path planning for an Unmanned Ground Vehicle (UGV) platform. We are interested in classification of features such as rocks, bushes, trees and dirt roads. Currently, the data is acquired from a color camera mounted on the UGV as we can add range data from a second sensor in ...
Alok Sarwal, Chris Baker, Mark Rosenblum
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Probabilistic terrain classification in unstructured environments
Robotics and Autonomous Systems, 2013Autonomous 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 +4 more
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Terrain Classification from an Aerial Perspective
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020Terrain knowledge around unmanned ground vehicles (UGVs) is vital for autonomous navigation. Having global understanding of the surroundings of UGVs is important, although the field of view from UGVs is very limited. Thus, we utilize an aerial vehicle to provide a large terrain map from sequential aerial images.
Sivert Frang Lunsaeter +3 more
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The Classification of the Terrain by a Hexapod Robot
2013This paper presents a new approach to the terrain classification by a hexapod robot using the tactile information. The data was acquired using the force/torque sensor mounted on the walking robot foot. Two types of classifiers were used and compared: the Normal Bayes Classifier (NBC) and the Classification And Regression Tree (CART).
Adam Schmidt, Krzysztof Walas
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Terrain Classification by Sequential Algorithms
1991This 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, Piero Zamperoni
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Terrain contact modeling and classification for ATVs
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016We present a method for estimating the contact event between sensor-free active subtracks, named flippers, of an articulated tracked vehicle (ATV) and the terrain surface. The main idea is to consider both the moving base link and unexpected collisions dynamics as disturbances of the flipper dynamics.
GIANNI, Mario +3 more
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