Sophisticated digital map is an essential resource for intelligent vehicles to localize and retrieve environment information. However, the open map resource do not contain enough information for decision making during autonomous driving. Although comprehensive commercial map can provide precise map knowledge, the data format is not in a machine-readable format. Therefore, we retrieve useful kno...

A Night Vision system must increase visibility in situations where only low beam headlights can be used today. As pedestrians and animals have the highest risk increase in night time traffic due to darkness, the ability of detecting those objects should be the main performance criteria, and the system must remain effective when facing the headlights of oncoming vehicles. Far infrared system has...

The pothole is a common road defect that seriously affects traffic efficiency and personal safety. Road evaluation maintenance automatic driving take detection as their main research part. In the above scenarios, accuracy real-time are most important. However, current methods can not meet requirements of due to multiple parameters volume. To solve these problems, we first propose lightweight on...

Semi-automatic methods are regarded as more practical than automatic methods to obtain and/or update the vector road data. But road tracking methods lose their efficiencies when they are applied to track a long straight roads step by step compared to manual digitalizing. So an efficient semi-automatic method is proposed in this paper. Particularly, spoke wheel algorithm and region growing algor...

The Road Sign Recognition is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images. The aim of this research paper is to study the various classification techniques that can be used to construct a system that recognizes road signs in images. The primary objective is to develop an algorithm which will identi...

The demand of spatial data has been an explosive growth in the past 20 years. This demand has numerous sources and takes many forms, but it is an ever-increasing thirst for spatial data, which is more accurate and higher density (Called as High-Definition Spatial Data), which is produced more rapidly and acquired less expensively. This research aims to satisfy with the high demands for the road...

The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for developing optimal maintenance planning that minimize the life-cycle cost of the inspected features. Mobile Mapping Systems (MMS) use laser scanner technology in order to collect dense and precise three-dimensional point clouds that gather both geometric and radiometric ...

Accurate detection of pedestrian targets can effectively improve the performance level intelligent transportation and surveillance projects. In order to enhance accuracy detecting on road, this paper first introduced traditional target algorithm, proposed faster recurrent convolutional neural network (RCNN) algorithm detect targets, improved it make good use features at different scales. Finall...

We tackle the problem of semi-automatic road tracking in aerial photos. Our solution to this human-computer interaction problem is to provide a learning approach that integrates naturally input from human experts with automatic tracking of roads. More specifically, our system learns an ensemble of road predictors from human inputs and uses them to further track a road, alerting the human expert...

Road signs, the main communication media towards the drivers, play a significant role in road safety and traffic control through drivers‟ guidance, warning, and information. However, not all traffic signs are seen by all drivers, which sometimes lead to dangerous situations. In order to manage safer roads, the estimation of the legibility of the road environment is thus of importance for road e...