ShuffleDet: Real-time vehicle detection network in on-board embedded UAV imagery
S Majid Azimi - … of the European Conference on Computer …, 2018 - openaccess.thecvf.com
On-board real-time vehicle detection is of great significance for UAVs and other embedded
mobile platforms. We propose a computationally inexpensive detection network for vehicle …
mobile platforms. We propose a computationally inexpensive detection network for vehicle …
Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree
JA Martín-Jiménez, S Zazo, JJA Justel… - ISPRS journal of …, 2018 - Elsevier
Safe roads are a necessity for any society because of the high social costs of traffic
accidents. This challenge is addressed by a novel methodology that allows us to evaluate …
accidents. This challenge is addressed by a novel methodology that allows us to evaluate …
Towards hd maps from aerial imagery: Robust lane marking segmentation using country-scale imagery
The upraise of autonomous driving technologies asks for maps characterized bya broad
range of features and quality parameters, in contrast to traditional navigation maps which in …
range of features and quality parameters, in contrast to traditional navigation maps which in …
Combining deep and shallow neural networks with ad hoc detectors for the classification of complex multi-modal urban scenes
This article describes the workflow of the classification algorithm which ranked at 2 nd place
in the 2018 GRSS Data Fusion Contest. The objective of the contest was to provide a …
in the 2018 GRSS Data Fusion Contest. The objective of the contest was to provide a …
[引用][C] 딥러닝을이용한위성영상의의미정보추출기법동향분석: 위성영상에서자동으로정보를검출하는기법분석: 위성영상에서자동으로정보를검출하는기법분석
김재선， 허용석 - 정보와통신열린강좌, 2018 - dbpia.co.kr
위성 영상은 일반적인 이미지에 비해 더 구조적이고 균일한 데이터를 포함하고 있기
때문에강력한 정보 원천이라 할 수 있다. 그럼에도 불구하고 컴퓨터 비전 분야에서 대부분의 …
때문에강력한 정보 원천이라 할 수 있다. 그럼에도 불구하고 컴퓨터 비전 분야에서 대부분의 …