Results 31 to 40 of about 26,472 (224)
Generation of Lane-Level Road Networks Based on a Trajectory-Similarity-Join Pruning Strategy
ISPRS International Journal of Geo-Information, 2019 With the development of autonomous driving, lane-level maps have attracted significant attention. Since the lane-level road network is an important part of the lane-level map, the efficient, low-cost, and automatic generation of lane-level road networks ...
Ling Zheng +3 more
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Applied Sciences, 2023 Roads are a type of typical artificial terrain, and are key components of urban terrain. Road networks formed by connections between different roads not only form the skeleton of urban terrain, but also plays an important role in transmitting energy and ...
Mingwei Zhao, Na Zhao
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Applied Sciences, 2021 In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm.
Heonmoo Kim, Yosoon Choi
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Extracting 3D parametric curves from 2D images of Helical objects [PDF]
, 2017 Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Extracting a 3D parametric curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as tortuosity ...
Jackson, Philip T.G. +3 more
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SN Applied Sciences, 2021 This study analyzes the 3D (3D) strain on a pavement by using a model of a vehicle with seven degrees of freedom and that of a road in elastic half-space by using the finite element software ANSYS.
Runfeng Zhang +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Road extraction from the high-resolution remote sensing image is significant for the land planning, vehicle navigation, etc. The existing road extraction methods normally need many preprocessing and subsequent optimization steps.
Qing Guo, Zhipan Wang
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ISPRS International Journal of Geo-Information, 2021 The extraction of roads and centerlines from aerial imagery is considered an important topic because it contributes to different fields, such as urban planning, transportation engineering, and disaster mitigation. Many researchers have studied this topic
Tamara Alshaikhli +2 more
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Island Road Centerline Extraction Based on a Multiscale United Feature
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 Accurate island road centerlines are important to tourism planning, resource development, and other applications. However, high-resolution island imaging is highly detailed with complex features, which increases the difficulty of road centerline extraction.
Ran Jing +4 more
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Crash reduction following installation of centerline rumble strips on rural two-lane roads [PDF]
Accident Analysis & Prevention, 2004 Rural two-lane roads generally lack physical measures such as wide medians or barriers to separate opposing traffic flows. As a result, a major crash problem on these roads involves vehicles crossing the centerline and either sideswiping or striking the front ends of opposing vehicles. These types of opposing-direction crashes account for about 20% all
Bhagwant N, Persaud +2 more
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Remote Sensing, 2015 Road damage detection and assessment from high-resolution remote sensing image is critical for natural disaster investigation and disaster relief. In a disaster context, the pairing of pre-disaster and post-disaster road data for change detection and ...
Jianhua Wang +6 more
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