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For autonomous navigation the real-time processing is crucial. This paper proposes a method to detect the lane markings in real-time using the advantage of parallel processing. A region of interest is constrained by the current velocity of a vehicle. The segmentation was achieved by utilizing a difference in color between lane marking and road pavement. The overall process is divided into three steps...
Various traffic applications including model-based analysis and control of traffic need the average speed. The average speed is used as a measure of performance, and as an input for traffic models. It is also used to obtain the density from a known flow or vice versa. In this paper, a new iterative procedure is presented that uses point measurements from inductive loop detectors for estimating the...
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...
Previous publications of our institute describe a robust vehicle tracking system for daylight conditions. This paper presents an improved vehicle tracking system which is able to detect and track the convoy leader also by twilight and night. The primary sensor equipment consists of a daytime camera, a LiDAR and an inertial navigation system. An expansion with a thermal and a lowlight camera was necessary...
In this paper, a robust traffic sign recognition system is introduced for driver assistance applications and/or autonomous cars. The system incorporates two major operations, traffic sign detection and classification. The sign detection is based on color segmentation and incorporates hue detection, morphological filter and labeling. A nearest neighbor classifier is introduced for sign classification...
This paper presents a method for vision navigation of an autonomous vehicle based on fuzzy reasoning. Autonomous vehicles operating in real world require fast image processing and robustness with respect to noisy sensor readings and with respect to environment changes. The key subject of this paper is the integration of some special domain knowledge into a fuzzy rule base in order to enhance image...
This paper presents a novel lane edge feature extraction algorithm based on digital interpolation. Zooming towards the vanishing point of the lanes creates a visual effect of driving. The positions of the lanes should not change significantly on the image plane while the vehicle is moving along the lanes. Considering the position information, more accurate lane features can be extracted. A gradient...
This paper describes the possibilities of automotive series production short range radar sensors in a vehicle environment for Highly Automated Driving. Four 24GHz sensors in our test vehicle provide measurements for an occupancy grid based environmental perception approach. Two example scenarios show the usage of the short range radar data for landmark detection and for free space estimation in construction...
Parking in the city has been a major problem in modern days. An efficient way to manage the parking lot and to improve the safety of the driver is very important. Traditional parking lots commonly use security camera, ultrasonic sensors or infrared ray sensors to manage the parking lots. However, these systems are not only expensive but time consuming. Therefore, we present a hybrid intelligent parking...
In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example,...
Real-time measurement of traffic parameters is increasingly demanded for monitoring the traffic status and adjusting the timings of traffic lights. In this paper, we propose an economic and operable approach to measure a traffic queue length on real-time by employing the combination of photogrammetry and image processing methods. The requirement for our development is rather simple: one camera which...
The recent trend of proliferation of road accidents and fatalities, calls for a methodology that can appease the burden on the drivers during certain crucial moments, requiring fast response and decision making. This paper expatiates a novel and effective procedure for determining the steering angle required to keep the vehicle in the middle of the lane. The procedure used is divided in multiple stages...
Modern amenities, fast data transfer and minimum delay have now become the basic requirements of all the services. This has now come in a large way in transport services also. One such service offered to transport system is toll collection. Initially toll collection was manual but now due to development in various fields it is slowly moving towards automation. The system discussed in this paper is...
A motion planning method for intelligent cars following roads based on feasible neighborhood is presented, with which we can break down a dynamic and complex control process into a series of static and simple ones. The method can imitate the eyeshot of a skilled driver driving a car on road, and may be an available approach for the control of automatic driving. According to a car's orientation relative...
In this paper, we proposed a crowd-sensing idea to construct the driving environment so that the driver could have better understanding of his/her surroundings on the roadway. We assume that intelligent vehicles will embed a sensing system, which is composed of three basic modules including inter-vehicle communication, vehicle license plate verification, and distance estimation. Through the help of...
This paper addresses the problem of Iranian license plate localization in the traffic video frames. To find the location of license plates in any frame, as a new method, first we detect the moving vehicles with a background extraction algorithm. The background image must be updated in any specified period of time and subtracted from the current frame. Foreground image includes moving objects. After...
Recent modelling of socio-economic costs by the Australian railway industry in 2010 has estimated the cost of level crossing accidents to exceed AU$116 million annually. To better understand the causal factors of these accidents, a video analytics application is being developed to automatically detect near- miss incidents using forward facing videos from trains. As near-miss events occur more frequently...
To identify a vehicle, License Plate identification technology is the key technology of intelligent transport system, finding a stohn vehicle, monitoring traffic flow, in town management, highway tolls etc. The major issue in such applications is to detect the exact location of plate, because finding the location of number plate could vary and as well as its size and color; many of the vehicles have...
In this paper, we present a lane marking detection and tracking method for the Lane Departure Warning system (LDWs). The method can both detect straight and curve lanes on the highway and urban road. The lane marking detection part is divided into three phases. First, bisect the ROI (region of interest). Then get lines by processing Hough transformation on each sub-region, after this phase, we can...
In visual surveillance, vehicle tracking and identification is very popular and applied in many applications such as traffic incident detection, traffic control and management. Edge detection is the key to the success of vehicle tracking and identification. Edge detection is to identify edge locations or geometrical shape changes in term of pixel value along a boundary of two regions in an image....
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