This article proposes a general extension of the error correcting output codes framework to the online learning scenario. As a result, the final classifier handles the addition of new classes independently of the base classifier used. In particular, this extension supports the use of both online example incremental and batch classifiers as base learners. The extension of the traditional problem...

The present paper aims at describing and comparing different small Vertical Axis Wind Turbine (VAWT) architectures, in terms of performance and loads. These characteristics can be highlighted by resorting to the Blade Element-Momentum (BE-M) model, commonly adopted for rotor pre-design and controller assessment. After validating the model with experimental data, the paper focuses on the analysi...

The purpose of this paper is to analyze the performance of the Histograms of Oriented Gradients (HOG) as descriptors for traffic signs recognition. The test dataset consists of speed limit traffic signs because of their high inter-class similarities. HOG features of speed limit signs, which were extracted from different traffic scenes, were computed and a Gentle AdaBoost classifier was invoked ...

21 Signage plays an important role in work zones to provide guidance to drivers under changed 22 conditions. This study investigated the safety effect of an alternative merge sign configuration in 23 a freeway work zone. In this alternative configuration, the graphical-only lane closed sign from 24 the Manual on Uniform Traffic Control Devices (MUTCD) was compared against a 25 MERGE/arrow sign ...

Traffic signs are characterized by a wide variability in their visual appearance in real-world environments. For example, changes of illumination, varying weather conditions and partial occlusions impact the perception of road signs. In practice, a large number of different sign classes needs to be recognized with very high accuracy. Traffic signs have been designed to be easily readable for hu...

1 Traffic signs are an integral element of any transportation network; however, keeping records of 2 those signs and their conditions is a tedious process, which is both time consuming and labour 3 intensive. As a result, many agencies around the world have been working towards automating the 4 process of sign collection. One form of automation is using remote sensing techniques to extract 5 tr...

We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-detection (rectangles or circles). This enables it to work on grayscale images, contrary to most European competitors, which eases robustness to illumination conditions (notably night operation). Speed sign candidates are...

This paper presents a novel method for recognizing partially occluded objects. The proposed method uses corner points and their spatial relationship perceived through the application of Triangular Spatial Relationship (TSR) [5] by considering three successive corner points at a time. The perceived TSR among corner points are used to create a model object-base using B-tree, an efficient multilev...

This paper proposes a TSK-type fuzzy controller (TFC) with a two-strategy reinforcement group cooperation based symbiotic evolution (TSR-GCSE) for solving various control problems. The TSR-GCSE proposes the two-strategy reinforcement (TSR) signal designed to improve the performance of the traditional reinforcement signal designed. Moreover, the TSR-GCSE is different from the traditional symbiot...

Optimal detectors based on time-frequency/time-scale representations (TFRs/TSRs) admit a representation in terms of a bank of spectrograms/scalograms that yields a large class of detectors. These range from the conventional matched lter to the more complex higher-rank detectors ooering a superior performance in a wider variety of detection situations. In this paper, we optimize this complexity ...