Advanced driver assistance systems (ADAS) are technologies that provide drivers with essential information or take over difficult and repetitive tasks. They contribute to improving road safety and increasing driving comfort. Apart from the technical development challenges, training and demonstration of ADAS in safe environments are important concerns for automobile manufacturers and suppliers. ...

Towards the complete vision of smarter distribution grid, advanced distribution automation system (ADAS) is one of the major players in this area. In this scope, this paper introduces a generic strategy for cost-effective implementation and evaluation of ADAS. Along with the same line, fault location, isolation and service restoration (FLISR) is one of the most beneficial and desirable applicat...

The two main research branches in intelligent vehicles field are Advanced Driver Assistance Systems (ADAS) [1] and autonomous driving [2]. ADAS generally work on predefined enviroment and limited scenarios such as highway driving, low speed driving, night driving etc. In such situations this systems have sufficiently high performance and the main features that allow their large diffusion and th...

Ever since the application of probe cars and instrumented vehicles for transport planning or driving behavioural studies, data collection in public road networks have become common. With the availability of Advanced Driver Assistance Systems (ADAS) and the advancing of Autonomous Vehicle (AV) deployment, more and more sensor-equipped vehicles will be available shortly and due to their dependenc...

Developing Advanced Driver Assistance Systems (ADAS) and autonomous vehicles is a challenge without precedence. Whole new engineering fields – such as artificial intelligence – need to be developed, yet time-to-market is short with intense competition. Estimates indicate that billions of miles of road testing will be necessary to ensure safety and reliability of ADAS and autonomous vehicles. Th...

The decreasing cost of sensory technologies including camera and radar has facilitated the outspread of advanced driver assistance (ADAS) systems into modern vehicles. ADAS systems can operate beyond the scope of stability control, by employing autonomous intervention in both longitudinal and lateral direction. Adaptive cruise control and lanekeeping aid (LKA) are the pinnacles of ADAS technolo...

The Aggregate Demand – Aggregate Supply framework has dominated intermediate macroeconomics textbooks since the 1980s. However, there have been 2007). In spite of these criticisms, the ADAS framework had continued to dominate the textbooks, with little or no response to these criticisms. This paper reviews the main criticisms of the ADAS framework, and then focuses on Gregory Mankiw's presentat...

This work presents a multilayer model concept for identifying and rating relevant and unknown traffic situations from simulation data. This concept ensures full testing and validation of Advanced Driver Assistance Systems (ADAS) and fully automated vehicles. Following consistent terminology, this paper first discusses known definitions of general terms including scene, situation and scenario. S...

The automated directory assistance system (ADAS) is traditionally formulated as an automatic speech recognition (ASR) problem. Recently, it has been formulated as a voice search problem, where a spoken utterance is firstly converted into text, which in turn is used to search for the listing. In this paper, we focus on the design and development of the utterance-to-listing component of ADAS. We ...

OBJECTIVE This study was conducted to determine the attitudes of university students studying in different fields toward discrimination of the elderly. METHODS This descriptive study was conducted with students who were still studying in the 2015-2016 period. A sample size of 416 students was determined by the stratified sampling method, and students were selected by simple random sampling. D...