As autonomous driving technology continues to advance at a rapid pace, the demand for precise and dependable lane detection systems has become increasingly critical. However, traditional methods often struggle with complex urban scenarios, such as crowded environments, diverse lighting conditions, unmarked lanes, curved night-time driving. This paper presents novel approach line segmentation in...

Supporting the varied software feature requirements of multiple variants of a software product-line while promoting reuse, forces product line engineers to use general-purpose and feature-rich middleware platforms. However, each product variant now incurs memory footprint and performance overhead due to the feature-richness of the middleware along with the increased cost of its testing and main...

Feature diagrams describe valid configurations of features in a software product line. A major limitation of current feature diagram languages is that they are found not to scale well when applied to realistic software product lines: feature diagrams quickly become too complex to be understood by engineers, and too vague to be analysed by reasoning tool. One well-known design principle for mana...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

in this study, first we estimated the poverty line of household and poverty indices in rural areas between1999 to 2004. stochastic dominance test is applied to compare the extent of poverty in the beginning year and the end year of third- socio economic development plan of iran. the most important feature of this technique is providing comparative comparison of poverty in two years or different...

In this paper, we present a method for incremental on-line adaptation based on feature space Maximum Likelihood Linear Regression (FMLLR) for telephony speech recognition applications. We explain how to incorporate a feature space MLLR transform into a stack decoder and perform on-line adaptation. The issues discussed are as follows: collecting adaptation data on-line and in real time; mapping ...

In this paper we propose an efficient line feature-based 2D object recognition algorithm using a novel entropy correspondence measure (ECM) that encodes the probabilistic similarity between two line feature sets. Since the proposed ECM-based method uses the whole structural information of objects simultaneously for matching, it overcomes the common drawbacks of the conventional techniques that ...

Using electrophysiology, the attentional functions of target selection and distractor filtering were investigated during visual search. Observers searched for multiple tilted line segments amidst vertical distractors. In different conditions, observers were either looking for a specific line orientation ("feature-based" selection), or for any tilted line ("salience-based"). The search array cou...

The spectrum of the transient X-ray binary pulsar A0535+26 obtained by OSSE in February 1994 shows an absorption feature at 110 keV but does not confirm a feature at around 55 keV, as previously reported by other instruments. If the 110 keV feature is due to cyclotron scattering at the first harmonic, then the magnetic field required is about 10 Gauss, the highest observed in an X-ray pulsar. C...