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Road lane detection is a key problem in advanced driver-assistance systems (ADAS). For solving this problem, vision-based detection methods are widely used and are generally focused on edge information. However, only using edge information leads to miss detection and error detection in various road conditions. In this paper, we propose a neighbor-based image conversion method, called extremal-region...
To deal with road accidents, especially accidents caused by trucks containing dangerous products, the possible solution is to control these vehicles' passage. We aim at developing a software technique confirming that all the entered engines inside a tunnel are securely quitted, to guarantee that no accidents, no breakdowns have occurred inside. To implement such solution, we identify the ingoing and...
Color segmentation is a preliminary step in many application computer vision systems today, as the detection of human movement, recognition of road traffic signs and video intelligent. Detection stage performance is therefore closely linked to the results obtained from the color segmentation. Detection and recognition automatic road traffic signs are applied in the color spaces RGB, HSV, and HSI....
This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR)...
The goal of this work is to recover road networks from aerial images. This problem is extremely challenging because roads not only exhibit a highly varying appearance but also are usually occluded by nearby objects. Most importantly, roads are complex structures as they form connected networks of segments with slowly changing width and curvature. As an effective tool for their extraction, we propose...
The demand for automated 3D road bounderies extraction is driven by the importance of maintaining and updating the fundamental geographic data of road for for various applications that support urban planning, traffic control, emergency response. Mobile laser scanning (MLS) as a promising technology for the rapid 3D mapping of road environment, provides a good means to capture every detail along the...
The recent breakthrough finding of macroscopic fundamental diagram (MFD) establishes the foundation of macroscopic analysis in urban transportation studies. However, the implementation of MFD for traffic signal control remains challenging. This is because the compact network-wide information provided by MFD is insufficient for searching for the optimal microscopic control policy. In this paper, rather...
In this paper, we propose a geometric framework for stop sign detection based on polylines. We first propose a scheme for the extraction of 1-piece and 2-piece polylines from connected components of edge pixels. This scheme contains three basic steps: i) dominant point extraction, ii) linearity verification, and iii) partitioning. We then propose a polyline-based framework for stop sign detection...
This paper is a tutorial for a path generation method during merging maneuver of automobile using a model predictive control scheme. Lanes of a motor way are approximated with proposed smooth lines. Assuming that the main lane vehicles run on the centerline of the main lane, an appropriate path of the merging vehicle can be simply designed and modified according to the motion of the main lane vehicles...
This paper presents an ongoing development of a method for releasing pattern of traffic lights, where the primary aim is to reduce traffic congestion in Bangkok, Thailand. The method applies theoretical principles of Fuzzy Logic, where the highlight is on the prominent technicality of decision making under ambiguous logic, similar to the human mind. This Fuzzy Logic-based method will be used to develop...
In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching,...
In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching,...
In this paper, we propose a simple general-purpose road boundary detection method, which can detect low height curbs, curved curbs, slopes, vegetation and ditches. Many conventional methods based on DEM (digital elevation map) can only deal with ordinary curbs because they use step-edge detection on the DEM. The proposed method detects height changes against road surface on several multi-directional...
This work presents a low-cost stereo vision system aimed to the real-time detection of generic obstacles (without constraints on symmetry or shape) on the path of a mobile road vehicle. Thanks to a geometrical transform the perspective effect is removed from both left and right stereo images. The difference between the results is used for the detection of free-space in front of the vehicle. The output...
The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. We incorporate such knowledge via phase fields and higher-order active contours (HOACs). In this paper: we introduce an improved prior model, the phase field HOAC ‘inflection point’ model of a network; we present an improved...
This paper presents a new type of Flexible Macroblock Ordering (FMO) type for the H.264 Advanced Video Coding (AVC) standard, which can more efficiently flag the position and shape of regions of interest (ROIs) in each frame. In H.264/AVC, 7 types of FMO have been defined, all of which are designed for error resilience. Most previous work related to ROI processing has adopted Type-2 (foreground &...
We present a small database of “noisy” traffic signs in cluttered urban environments that exhibit various forms of degradation, including vandalism and fading (discoloration). The database contains five types of international traffic signs that allow differentiation by means of color and shape, and it has been collected in two cities in Greece. We further present a baseline system for detecting and...
Automatic detection and recognition of road signs is an important component of automated driver assistance systems contributing to the safety of the drivers, pedestrians and vehicles. Despite significant research, the problem of detecting and recognizing road signs still remains challenging due to varying lighting conditions, complex backgrounds and different viewing angles. We present an effective...
Rural and secondary roads inherently exhibit road curves and turns. This study aims to predict the risk associated with rural road curves exploiting major curve features such as curvature, slope type, and direction. The images acquired by rear and front cameras are utilized to capture the underlined features. Slope type is obtained by two-view images while direction and curvature are estimated by...
Xiangshan County is one of the most important areas in Zhejiang Province. The land use changes interpretion and its changing rules are the main aims of the paper. Firstly, for the classification system was the foundation of the study, it had to be built. Secondly, the tasks were the collection and preprocessing of the high resolution remote sensing images in 2009 and 2012. Thirdly, the interpretation...
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