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Terrain-Shape-Adaptive Coverage Path Planning With Traversability Analysis
Coverage path planning (CPP) is in great demand with applications in agriculture, mining, manufacturing, etc. Most research in this area focused on...
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Optimized Deep Network for Precise Digital Terrain Model Extraction from Light Detection and Ranging Data
Classifying and filtering non-ground objects from the point cloud data are among the major challenges to the development of a digital terrain model...
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Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots
With the increasing demand for mobile robots and autonomous vehicles, several approaches for long-term robot navigation have been proposed. Among...
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An uncertainty-aware domain adaptive semantic segmentation framework
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the...
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Locomotion Planning for Quadruped Robot Walking on Lunar Rough Terrain
This paper focuses on the locomotion planning for a quadruped robot walking on the lunar rough terrain. Firstly, the detailed terrain data of the...
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An Extensive Survey on Superpixel Segmentation: A Research Perspective
Several Superpixel segmentation techniques have recently been developed. Superpixels combine perceptually similar pixels to form visually significant...
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Online Aerial 2.5D Terrain Map** and Active Aerial Vehicle Exploration for Ground Robot Navigation
This paper discusses a collaborative air-ground team of autonomous vehicles for exploring and navigating outdoors within an unknown environment. A...
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Optimal Pre-processing of Laser Scanning Data for Indoor Scene Analysis and 3D Reconstruction of Building Models
The large-scale point cloud data representing buildings should be prudently pre-processed and down-sampled prior to post-data processing activities,...
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Long and short-range relevance context network for semantic segmentation
The semantic information can ensure better pixel classification, and the spatial information of the low-level feature map can ensure the detailed...
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Fast Estimation of Loader’s Shovel Load Volume by 3D Reconstruction of Material Piles
Fast and accurate measurement of the volume of earthmoving materials is of great significance for the real-time evaluation of loader operation...
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AUTONOMOUS NAVIGATION AND DENSE SHAPE RECONSTRUCTION USING STEREOPHOTOGRAMMETRY AT SMALL CELESTIAL BODIES
Navigating spacecraft and map** the surface in the vicinity of small Solar System bodies is historically challenging. While surface landmarks and... -
3D Reconstruction Methods from Multi-aspect TomoSAR Method: A Survey
This paper presents an investigation into the existing literature on the reconstruction of TomoSAR buildings and the 3D cloud TomoSAR point.... -
Analysis on Grey Space Form and Simulation Evaluation in Landscape Design
In order to improve the landscape design effect, this paper combines intelligent grey space algorithm to improve the design algorithm, and uses... -
Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques
Autonomous Driving refers to self-driving vehicles without the need of intervention from the human driver. Safety enhancement, energy optimization,... -
A 2 Stage Pipeline for Segmentation and Classification of Rooftop from Aerial Images Using MultiRes UNet Model
Meeting energy demands are one of the primary goals of sustainable ecosystem, but civilization has already wreaked enough damage. And a lot of... -
LatticeNet: fast spatio-temporal point cloud segmentation using permutohedral lattices
Deep convolutional neural networks have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D...
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3D Reconstruction Based on the Depth Image: A Review
Three-dimensional (3D) reconstruction is an important field of computer vision. Though Image-based 3D reconstruction is more widely used due to its... -
Retrieving Structural Information on Anthropogenic Objects from Single Aerospace Images
AbstractA method for the three-dimensional reconstruction of buildings from a single aerospace image, which consists of two stages—the extraction of...
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Analysis of Medical Image Segmentation
At present segmentation of medical images is an important guarantee for treatment. Especially, accurate segmentation of medical images is of great... -
Application of 3D Laser Scanning Technology in Urban Green Space Landscape Planning
In order to improve the approximation of three-dimensional landscape and optimize the urban green space landscape planning, the author proposes the...