The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Recent works have introduced perimeter feedback-control strategies for a homogenous urban region and multiple urban regions with the help of the macroscopic fundamental diagram (MFD) representation, that relates average flow and density (or accumulation) across the network. The perimeter controller is located on the region border, and manipulates the transfer flows across the border, while aiming...
Robust tracking of extended objects plays a major role in research on highly automated driving applications and advanced driver assistance systems. This paper proposes a new approach to estimate the extension of dynamic objects based on object-local occupancy grid maps. This enables estimating free-formed object shapes while being robust against errors coming from, e.g., incorrect segmentation or...
In this paper we present a novel method to detect guard rails in highway scenarios using a stereo camera setup. In contrast to previous methods, we combine geometry information with appearance cues using a state-of-the-art feature encoding method. In our system pipeline, we follow a hough-based approach to localize potential guard rails in the image and require each detected line to fulfill linearity...
In this paper, dynamic role assignment and collision avoidance based on consensus tracking algorithm are investigated for systems with complete communication graph. First, based on the traditional consensus protocol, consensus-based control algorithm with dynamic role assignment is proposed. To make each agent reach the closest formation point, we give an efficient assignment solution by solving an...
In this paper a new algorithm for formation control of autonomous flight vehicles is presented based on multiple control objectives. The strategy includes using the null space of a Jacobian matrix to achieve different control objectives. The mission is decomposed in elementary tasks and, for each one of them, command references are generated for each robot. The different commands obtained for each...
Traffic light is one of the important signs for drivers that help managing the car flow and reducing accident on the road. As of today technology, there exists a traffic light detection system that warns the driver to reduce the accident significantly. In this paper, we are concerned with only the red and yellow traffic light to reduce false positive and time consumption. The fast radial symmetry...
In this paper we examine the dynamics of a unique type of jet propelled, spheroidal robot design. This robot uses jets angled inward into a diamond shape to achieve superior planar dynamics. We explore the role of the diamond configuration in avoiding nonminimum phase behavior and we examine the best vehicle aspect ratios for this type of robot design. We use a degree of controllability metric to...
Vehicular ad hoc networks have emerged as a promising area of research in academic fields. However, to design a realistic coverage algorithm for vehicular networks presents a challenge due to the irregularity of the service area, assorted mobility patterns, and resource constraints. In order to resolve these problems, this paper proposes a genetic algorithm-based sparse coverage with statistical analysis,...
Robust vehicle detection is one of the key task for autonomous vehicle under the complex urban environment. Using 3D Lidar, the difficulty of the task lies in that the appearance of a vehicle in the sparse range data changes greatly with the distance, the angle of view, as well as occlusions. In this paper we present a new algorithm to detect vehicles using the finely segmented 3D object points. In...
For the power plant of hypersonic vehicle - scramjet, this work mainly studies the effects of the translating cowl of inlet on the static and dynamic performance of the hypersonic vehicle. The results indicate that the effects of the cowl on lift and drag can be negligible, while the effects of the cowl on thrust and pitching moment are significant. The cowl makes thrust-drag ratio bigger and the...
In this paper, a new Advanced Driver Assistant System (ADAS) system for LED traffic sign detection algorithm using rectangle shape based on a windowed hough transform and feature based optimization was presented. We used two character to detect the LED traffic sign. One is LED traffic sign have rectangle shape, another is intensity feature of LED traffic sign. After extracting the candidates of LED...
In this paper, we study the problem of detecting and tracking multiple objects of various types in outdoor urban traffic scenes. This problem is especially challenging due to the large variation of road user appearances. To handle that variation, our system uses background subtraction to detect moving objects. In order to build the object tracks, an object model is built and updated through time inside...
This paper presents a comparative study of several classification methods for the task of recognizing traffic signs in urban areas. These classification methods are artificial neural network (ANN), k-nearest neighbors (kNN), support vector machine (SVM), and random forest (RF). First, HSI-based color segmentation process is applied to obtain candidate regions. Using centroid-based feature, these regions...
The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety...
This paper describes an efficient method to detect traffic lights and recognize their corresponding signal count-down timings. Driver Assistance System (DAS) are applications installed in vehicles that provide guidance for safe driving. Traffic Light detection is also a part of the DAS. The work is split into two parts of which, the first part deals with the detection of traffic lights. The changing...
Traffic Sign Recognition is nowadays widely used in the automobile industry, it provides a good solution for driver assistance systems, it can alert the driver and control or prohibit certain actions, and this can significantly increase driving safety and comfort. This paper presents a study to design, implement and test a method of detecting traffic signs, based on computer vision. The system implemented...
Micro Aerial Vehicles (MAVs) and NANO Aerial Vehicles (NAVs) robots mimicking the maneuvering flight of birds and insects are the future of Aerospace industry. These small size air vehicles have been the platforms of choice for reconnaissance, surveillance and real time aerial video transmission involving over the hill missions in recent urban warfare scenarios. This research work aims at design and...
Parallel traffic simulation is a critical component in large-scale traffic simulations and real-time traffic simulations. Dividing workloads evenly to multi-cores and multi-machines is a challenge in parallel traffic simulations. Current researches focus on map decomposition algorithms. However, without effective workload estimation algorithms, map decomposition algorithms tend to output imbalanced...
Analysis of dynamic brain imaging data from EEG, MEG or fMRI requires a common temporal context to enable meta-analysis and data mining across experiments. However, there is no standardized method of annotating events, even from laboratory experiments in controlled settings, and the event-rich environments of real-world brain imaging present a still greater annotation challenge. We have developed...
The paper talks about a new innovative way of “swarm co-ordination” or “Shape Changing” system. The system is called Magphere. In this system a new swarm co-ordination system is defined which works on the principle of MegProp. The system works on spheres (shape not just limited to sphere but can be cubical, ellipsoid, polyhedral etc too) having computer at core and electromagnets arranged along the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.