نتایج جستجو برای: automatic road detection
تعداد نتایج: 754249 فیلتر نتایج به سال:
Robust and quick road curb detection under various situations is critical in developing intelligent vehicles. However, the road curb detection is easily affected by the obstacles in the road area when Lidar based method is applied. A practical road curb detection method using point cloud from a three-dimensional Lidar for autonomous vehicle is reported in this paper. First, a multi-feature, loo...
driver drowsiness has been one of the main causes of on-road crashes which can lead to death, physical injuries and impose significant costs on the societies. the development of non-intrusive methods to be able to detect driver drowsiness in the early stages of drowsiness is great of importance. this is an educational review and its purpose is to provide recent achievements about non-intrusive ...
Automatic license plate detection and recognition has numerous applications. A large number of schemes have already been proposed in order to make the detection and recognition process efficient. However, a very little work has been done on Bengali license plate recognition. Wide variation among the license plate patterns, complex background, and the difficulty in segmenting Bengali characters ...
Semi-automatic Extraction of Different-shaped Road Centerlines from Ms and Pan-sharped Ikonos Images
In this work we develop semi-automatic road extraction system for updating and storage road network data bases. Combination of some of the existing road extraction techniques such as spectral and spatial data clustering, morphological functions and graph theory is used in this proposed system. Input data of the proposed road extraction system are multi-spectral and pan-sharpened IKONOS images o...
The most important aspect of automatic driving and traffic surveillance is vehicle detection. In addition, poor road conditions caused by potholes are the cause accidents damage. proposed work uses deep learning models. method can detect vehicles using images. faster region-based convolutional neural network (CNN) inception V2 model used to implement model. compares performance, accuracy number...
In order to investigate the use of unmanned aerial vehicles (UAVs) for future application in road damage detection and provide a theoretical technical basis UAV detection, this paper determined recommended flight camera parameters based on needs continuous image capture pavement disease recognition. Furthermore, realize automatic route planning control, photography stitching smoothing tasks, co...
session initiation protocol (sip) is the main signaling protocol of next generation networks (ngn). sip based applications are usually deployed over the internet, for which their text-based nature and internal stateful operation make them vulnerable to different types of attacks. the real‑time functionality of sip based applications make their related security systems more complex. on the other...
Opinion mining is a well-known problem in natural language processing that has attracted increasing attention in recent years. Existing approaches have been often focused on identifying direct opinions and ignored indirect ones. However, in some domains such as medical, indirect opinions occur frequently. Therefore, ignoring indirect opinions can lead to the loss of valuable information and not...
Recently, the use of linear features for processing remote sensing images has shown its importance in applications. As one of typical linear targets, road is a hot spot of remote sensing image interpretation. Since extracting road by manual processing is too expensive and time consuming, researches based on automatic and semi-automatic have become more and more popular. Such interest is motivat...
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