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Assessing SRTM one Arc second DEM accuracy for small dam volume-elevation curves using terrain metrics. [PDF]
Sci RepAhmed PBS +3 more
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Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]
Sci RepTibermacine A +4 more
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Research progress on multimodal data fusion in forest resource monitoring. [PDF]
Front Plant SciWang M +6 more
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Off-road terrain classification
Journal of Terramechanics, 2023Road 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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Terrain Classification Using Weakly-Structured Vehicle/Terrain Interaction
Autonomous Robots, 2005We present a new terrain classification technique both for effective, autonomous locomotion over rough, unknown terrains and for the qualitative analysis of terrains for exploration and mapping. Our approach requires a single camera with little processing of visual information.
KALAYCI DEMİR, GÜLESER +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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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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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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Visual Drone Terrain Classification: A Manual Classification Approach
2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), 2020This research investigates a method for performing manual classification of the terrain in imagery from the on-board camera of an unmanned aerial vehicle, to develop classifiers for systematic terrain classification. Drone images were captured across rural County Donegal in Ireland, and software was developed to manually label the terrain in these ...
Joon Du Randt, Kevin Meehan
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