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In recent years, there has been an interest in detailed monitoring of road traffic, particularly in intersections, in order to obtain a statistical model of the flow of vehicles through them. These models aid in the optimization of traffic management and allow for smarter transportation systems. While conventional methods sensors at each of the intersections entrances/exits allow for counting, are...
Safety in a travel is a very important factor we consider in our day today life because we live in a very dynamic and a busy lifestyle. As a result the tendency of making failures in critical moments could create a fatal mistake and it could lead even to lose lives. To ensure maximum safety nowadays the researches and design engineers put their maximum efforts. The technology adopts to enhance daily...
This conceptual paper examines the computer identification of signs called day markers that commonly appear for navigation purposes in a marine channel waterway. Most people are familiar with these signs when navigating in a boat as they appear either as red triangles, green rectangles or diamonds since they aid navigation through the channel. The paper focuses on a proposed classifier using Procrustes...
Autonomous driving is a key factor for future mobility. Properly perceiving the environment of the vehicles is essential for a safe driving, which requires computing accurate geometric and semantic information in real-time. In this paper, we challenge state-of-the-art computer vision algorithms for building a perception system for autonomous driving. An inherent drawback in the computation of visual...
This paper proposes an autonomous flying projector (AFP) that projects images from a micro aerial vehicle (MAV) on which a small projector is placed. The AFP works as a public and ubiquitous display, and has a potential for an expansion of projector applications (e.g., a digital signage moving in response to a distribution state of people, and the one following moving targets such as a person and...
Environment perception is a major research issue which is very important in the field of robotic system. In order to identify the horizon line and the drivable region, we have proposed a visual-perception system based on an automatic image discarding method as a simple solution to improve the system performance. In this paper, all these previous methods are organized in a visual-perception layer which...
The AUVSI Autonomous Surface vehicle event is a student-based competition where teams design, build and compete with fully autonomous surface vessel. These vehicles are required to preform many different tasks that vary from competition to competition but the ability to navigate channels marked by red and green markers and perform GPS based navigation is always a constant. Embry-Riddle Aeronautical...
The purpose of this paper is to propose a method to estimate the location of the vehicle within a road around a horizontal axis from the bird's eye perspective. This method uses a road heuristic — the edge length of the road, in order to localize a vehicle within the road. The method aims to determine erratic vehicle steering on roads using a single camera in places where lanes and road discipline...
Integrity of the information provided by a perception system is crucial for advanced driver assistance systems intended for safety applications, like obstacle avoidance systems. A method to ensure integrity is to use different kinds of perception sources. Lidars are key sensors for multiple objects detection and tracking. Stereo vision systems (SVS) can be used to improve the tracking but, in this...
The linguistic description of a physical phenomenon is a summary of the available information where certain relevant aspects are remarked while other irrelevant aspects remain hidden. This paper deals with the development of computational systems capable to generate linguistic descriptions from images captured by a video camera. The problem of linguistically labeling images in a database is a challenge...
In this paper we propose a novel framework for road reflectivity classification in cluttered traffic scenarios by measuring the bidirectional reflectance distribution function of road surfaces from inside a moving vehicle. The predominant restrictions in our application are a strongly limited field of observations and a weakly defined illumination environment. To overcome these problems, we estimate...
Reliable obstacle detection and localization is a key issue for driving assistance systems particularly in urban environments. In this article, a multi-modal perception approach is studied in order to enhance vehicle localization and dynamic objects tracking, in a world-centric map. 3D ego-localization is done by merging a stereo vision system and proprioceptive information coming from vehicle sensors...
Active gaze stabilization is of vital importance for the use of high resolution tele-cameras in autonomous vehicles. Small aperture angles together with large focal lengths cause high sensitivity to rotational vehicle motion induced e.g. by bumps or braking. Due to large latencies in image processing only gaze stabilization based on inertial sensors is fast enough to ensure stable images. As this...
Perimeter patrol enhances the utility of autonomous surface vehicles (ASVs) by enabling many security and scientific missions, including harbor protection, water sampling, and geological survey. We present a novel approach to perimeter patrol that uses only two sensors: commercial off-the-shelf available marine radar and the heading information from a GPS. Our algorithm performs computer vision morphological...
This paper presents target motion estimation for multiple air vehicles. The motion of the airborne target is estimated by vision information from camera sensors fixed to the followers. Each camera sensors provides information of the target by three angles: an azimuth angle, an elevation angle, and a subtended angle. In the frame work of information filter, each follower estimates position, velocity...
In this paper, we describe an effective version of an integrated system that combines vision-based object detection and vehicular ad-hoc networks (VANETs). With introduction of VANET in future years, data exchange between vehicles and infrastructure units will be possible and increase safety on roads. The number of vision-based active safety systems, like pedestrian detection and traffic sign recognition,...
In this paper, we deal with an original advanced driver assistance system (ADAS) based on the use of omnidirectional vision and an evidential fusion architecture. The panoramic perception solution permits us to address efficiently the problem of close vehicles detection but also the monitoring side traffic system. The fusion and integration of this sensorial data stream is assumed by a credibilist...
Intelligent vehicles require accurate localization relative to a map to ensure safe travel. GPS sensors are among the most useful sensors for outdoor localization, but they still suffer from noise due to weather conditions, tree cover, and surrounding buildings or other structures. In this paper, to improve localization accuracy when GPS fails, we propose a sequential state estimation method that...
In this paper, a multi-sensor based perception network for vehicle driving assistance is described. The network could reconstruct the 3D real world from the data obtained by the sensors, recognize dangerous occasions in advance and give the driver a suggestion or warning to prevent from the accident. Vehicle driving assistance is a research area which requires high accuracy and precision. The purpose...
Detection of license plate is an important process in intelligent transportation systems before license plate recognition. In this paper, we proposed an autonomous license plate detection system with computer vision instead of sensors. Using characteristics of dynamic images, our system rapidly identifies the license plate region. The system consists of two subsystems: car detection subsystem and...
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