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In autonomous driving, object tracking is necessary to gather actual information about the object of interest. The longitudinal and lateral controls of automated highway systems need a target object not only to maintain the safety distance between vehicles but also to keep the following vehicle in the same track as the preceding vehicle. So far automated highway systems were only developed for urban...
In this paper, we propose a novel and simple method for people and vehicles classification in far distance video surveillance. In this approach, moving objects are firstly segmented from background using a background subtraction technique. Secondly, edges of moving objects are extracted using canny operator. Then straight lines of edges of moving objects are extracted by Hough transform and feature...
In this paper, we review the state-of-the-art technologies for driver inattention monitoring, which can be classified into the following two main categories: 1) distraction and 2) fatigue. Driver inattention is a major factor in most traffic accidents. Research and development has actively been carried out for decades, with the goal of precisely determining the drivers' state of mind. In this paper,...
Being an indicator of economic growth, the deployment of an Intelligent Transportation System (ITS) became an imperative necessity of a country, whether developed or developing. Emergence of innovative technologies in the areas of Computer Science, ICT and Digital Image Processing paved way to the implementation and the deployment of such a system in a cost effective and economic manner. Introduction...
In urban environments, detection of moving obstacles and free space determination are key issues for driving assistance systems or autonomous vehicles. This paper presents a lidar-based perception system for passenger-cars, able to do simultaneously mapping and moving obstacles detection. Nowadays, many lidars provide multi-layer and multi-echo measurements. A smart way to handle this multi-modality...
Intelligent vehicle-highway system, through improving the intelligent control level of single vehicle and the ability of information interaction between vehicle and highway, can realize autonomous driving for intelligent vehicle and platoon driving, so as to solve the increasingly serious traffic problem. The intelligent control for single vehicle is the most important in the intelligent vehicle-highway...
This paper proposes an automatic vehicles counting, classification and tracking for identifying Traffic flows in an intersection which is a fundamental task for video surveillance in urban traffic management. In intelligent transportation systems (ITS), especially in field of urban traffic management, intersections monitoring is one of the critical and challenging tasks. Where, objects have different...
Road traffic, by dimensions, weights and speeds of vehicles which is moving is a danger that requires precise deployment rules, advanced technical systems for safe movement, an appropriate infrastructure etc. Road safety is an issue of interest to all citizens, each of which can contribute to improving safety on public roads. Although the measures taken in this area have proven, road accidents remain...
The availability of several Advanced Driver Assistance Systems has put a correspondingly large number of inexpensive, yet capable sensors on production vehicles. By combining this reality with expertise from the DARPA Grand and Urban Challenges in building autonomous driving platforms, we were able to design and develop an Autonomous Valet Parking (AVP) system on a 2006 Volkwagen Passat Wagon TDI...
Managed Motorways are being deployed as an alternative to road widening. They allow the capacity of the motorway to be dynamically controlled both automatically and by direct intervention from control room based operational staff in response to fluctuating traffic demand. To operate Managed Motorways safely and effectively, there is a greater reliance on technology than conventional roads, coupled...
The future of intelligent vehicles will rely on robust information to allow the proper feedback to the vehicle itself, to issue several kinds of active safety, but before all, to generate information for the driver by calling his or her attention to potential instantaneous or mid-term risks associated with the driving. Before true vehicle autonomy, safety and driver assistance are a priority. Sophisticated...
Vision-based vehicle detection is a critical task for traffic monitoring in modern Intelligent Traffic Systems (ITS). Due to the low-angle nature of most traffic surveillance cameras installed in the real world, vehicle detection in such case has to deal with one fundamental challenge - occlusion, which renders most traditional vehicle detection methods ineffective. In this paper, instead of detecting...
The information of vehicle is very important for maintaining traffic order under the present complex traffic environments. The image of vehicle is captured in various ways; fixed camera, movable camera, and vehicle-loaded camera. This paper proposes a new vehicle plate recognition mechanism that is essential to know the information of vehicle. The proposed method is a real-time processing system using...
This paper presents a novel, deterministic framework to extract the traffic state of an intersection with high reliability and in real-time. The multiple video cameras and inductive loops at the intersection are fused on a common plane which consists of a satellite map. The sensors are registered from a CAD map of the intersection that is aligned on the satellite map. The cameras are calibrated to...
Various image processing techniques and geometric models have been applied in vision based lane detection subsystems of intelligent vehicles and Advanced Driver Assistance Systems (ADAS). However, challenging conditions such as strong shadows, occlusions, eroded markings, high curvatures are ongoing issues in this topic. In this paper, a novel lane extraction method based on symmetrical local threshold...
Due to the traffic accidents over the last few years; the development of surveillance systems with multifunctional techniques has received increasing attention. The use of the smart camera is one solution to solve the traffic problems, Smart cameras are cameras that can perform tasks far beyond simply taking photos and recording videos. Highways Traffic Surveillance System (HTSS) is used to monitor...
The recognition and tracking of traffic lights for intelligent vehicles based on a vehicle-mounted camera are studied in this paper. The candidate region of the traffic light is extracted using the threshold segmentation method and the morphological operation. Then, the recognition algorithm of the traffic light based on machine learning is employed. To avoid false negatives and tracking loss, the...
In this paper, we present a method to track multiple moving vehicles using the global nearest neighborhood (GNN) data association (DA) based on 2D global position and virtual detection based on motion tracking. Unlikely the single target tracking, multiple target tracking needs to associate observation-to-track pairs. DA is a process to determine which measurements are used to update each track. We...
Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing...
Bus lane enforcement system aims to monitor illegal utilization of bus lane by non-permitted vehicles (violator). However, Road-side system leads to considerable infrastructure cost while bus mounted system has limited surveillance coverage. In this paper, we consider an interesting problem in bus mounted system: how to improve the surveillance coverage of bus mounted system without additional infrastructure...
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