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Humans may be one of the biggest roadblocks keeping fully autonomous vehicles off city streets.
Car companies and researchers have been feverishly working to improve the technologies behind self-driving cars. But so far, even the most high-tech vehicles still fail when it comes to safely navigat...
“敢为人先放飞青春梦,勇立潮头建功新时代”。Bio-road(星火)生物医用纺织材料研发小组在2019年积极参与创新创业大赛,开拓实践,争做时代的弄潮儿。 2019年6月,该团队参加了由教育部等12个中央部委单位和浙江省人民政府共同主办的第五届中国“互联网+”大学生创新创业大赛。本届比赛共有来自全球五大洲124个国家和地区的457万名大学生、109万个团队报名参赛,参赛项目和学生数接近前四届大赛...
Snow avalanche occurring in a micro-climatic condition causing hydro-geo (Hydrological and geological) hazard to the deployed armed forces and nearby inhabitant to the North Western Himalaya about 300...
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are...
The importance of analysis high resolution satellite imagery plays an important research topic for geographical information analysis of cities. Geospatial data plays an important role in important iss...
As the increasing concern for climate change, quantification on greenhouse gas (GHG) emissions in urban scale has been a key component for local climate actions. To explore an approach on estimating t...
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captur...
This paper focus on the problem of the street environment of block unit, based on making clear the acquisition mode and characteristics of 3D streetscape data,the paper designs the assessment model of...
The terrestrial and mobile laser scanning has become nowadays a mature technology applied in several technical and non-technical applications. The transportation infrastructure can be surveyed by thes...
In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
For extraction of road pixels from combined image and elevation data, Wegner et al. (2015) proposed classification of superpixels into road and non-road, after which a refinement of the classification...
The problem of urban mobility is complicated by traffic delay, resulting from poor planning, high population density and poor condition of roads within urban spaces. This study assessed traffic conges...
Rough roads influence the safety of the road users as accident rate increases with increasing unevenness of the road surface. Road roughness regions are required to be efficiently detected and located...

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