Intelligent imaging systems for automotive applications

In common with many other application areas, visual signals are becoming an increasingly important information source for many automotive applications. For several years CCD cameras have been used as research tools for a range of automotive applications. Infrared cameras, RADAR and LIDAR are other types of imaging sensors that have also been widely investigated for use in cars. This paper will describe work in this field performed in C2VIP over the last decade - starting with Night Vision Systems and looking at various other Advanced Driver Assistance Systems. Emerging from this experience, we make the following observations which are crucial for "intelligent" imaging systems: 1. Careful arrangement of sensor array. 2. Dynamic-Self-Calibration. 3. Networking and processing. 4. Fusion with other imaging sensors, both at the image level and the feature level, provides much more flexibility and reliability in complex situations. We will discuss how these problems can be addressed and what are the outstanding issue

Methodological aspects of field operational tests of after-market and nomadic driver support systems and impacts on mobility

Background: This paper reports on the methodology undertaken and some results achieved within a study of drivers using aftermarket and nomadic devices (the TeleFOT project). Objective: To evaluate the methodology for conducting Field Operational Tests for Information and Communication Technology whilst also providing an example of the method applied in the context of mobility within the TeleFOT project. Method: ‘Top down, bottom up’ approach to the derivation of research questions and hypotheses is described. Statistical analysis has been undertaken on data collected through Field Operational Tests and Travel Diaries considering the impact of information functions (such as navigation, traffic information and green driving) upon journey length. Results: A summary of the results relating specifically to how the length of a journey can be affected by information functions indicates that Navigation and Traffic information can reduce the length of journeys whilst Green Driving functions tend to increase the journey length. Conclusion: The FOT methodology was successfully applied in the TeleFOT project as was the novel method for generating research questions. When turning the theoretical FOT method developed in FESTA into practice, several good innovations were made which and can be recommended for future FOTs; collation of metadata, the use of comparable origin / destination pairs for analysis, centralised processing of raw data into legs in order to simplify the analysis of the huge datasets collected in the project

MEASURES ELIMINATES ERRORS OF THE HUMAN FACTOR IN DRIVING

Tato práce se zabývá asistenčními systémy schopnými zasahovat do řízení vozidel, popisuje je a hodnotí jejich přínos bezpečnosti silničního provozu.This thesis deals with assistention systems that are able to inerfere with driving, it describes them and evaluates their contribution to road safety.

Az önvezetés térképi támogatása

A cikk a közúti közlekedés egyre növekvő automatizáltságát tekinti át, néhány példa bemutatásával illusztrálja fejlődési irányát. Az egyre fejlettebb asszisztensek egyre több érzékelővel, egyre összetettebb algoritmusokkal segítik a járművek vezetését. Az asszisztensek sorában találunk több olyant is, amelyek a térképi támogatásnak köszönhetően tudják a feladatukat ellátni. Ezeknek a térképi adatbázisoknak az elkészítésében manapság több felmérési technológia alkalmazható – az írás ezeket is áttekinti

APRENDIZADO DE MÁQUINA APLICADO PARA AUXÍLIO AO MOTORISTA UTILIZANDO RASPBERRY PI

Brazil has the fifth highest death toll in the planet. Generally accidents are caused by human failure, involving inattention and disrespect to the law. In order to help the driver to act in a preventive and responsible manner, computer systems can establish ways to issue alerts when recognizing situations of risk to the safety in the traffic. The challenge of this work was to perform the detection and recognition of some traffic signals considered necessary for road safety. This work aimed at the development of an embedded system of assistance to the driver based on computer vision and machine learning. The function of the system is to recognize dangerous situations and alert the driver to the signals found on the tracks (maximum permissible speed, stop, preference and bearing tracks). We used a Raspberry Pi 3 and a camera of 5 megapixels to be the embedded hardware. The work aimed the development of algorithms that perform the task of assisting human perception in guiding vehicles, with execution in low-processing hardware in real time.O Brasil tem a quinta maior taxa de mortes no trânsito do planeta. Geralmente os acidentes são causados por falha humana, envolvendo desatenção e desrespeito à legislação. A fim de auxiliar o motorista a agir de forma preventiva e responsável, sistemas computacionais podem estabelecer meios para emitir alertas ao reconhecer situações de risco à segurança no trânsito. O desafio apresentado neste trabalho foi realizar a detecção e o reconhecimento de alguns sinais de trânsito considerados necessários à segurança viária. Este trabalho objetivou o desenvolvimento de um sistema embarcado de auxílio ao motorista baseado em visão computacional e aprendizado de máquina. A função do sistema é reconhecer situações perigosas e alertar o motorista a respeito das sinalizações encontradas nas vias (placas de sinais de velocidade máxima permitida, parada obrigatória, preferência e faixas rolamento). Foi utilizado um Raspberry Pi 3 e uma câmera de 5 megapixels para ser o hardware embarcado. O trabalho buscou o desenvolvimento de algoritmos que realizem a tarefa de auxiliar a percepção humana ao guiar veículos, com execução em hardware de baixo processamento em tempo real

Develop Mathematical Model For Biomechanical Factors For Proton Saga Driver Seat

Automotive industry is the main industrial that leading in Malaysia development towards achieving Industrial Revolution 4.0. Safety will be their very first priority while manufacturing a car. During manufacturing process, external and internal components should be comply with the standard that have been set up by the authority. The most important components for the driver will be their seat. Upon driving for a long journey, drivers tend to feel weak and fatigue as time pass by. As a result, this could lead to accidents. Therefore, aim of the study is to develop mathematical modeling based on the psychophysical and biomechanical factors that contribute to the driver fatigue of Proton Saga. The discomfort area will be investigate through online survey and validate using Minitab software. Meanwhile, as for the relationship of the psychophysical and biomechanical will be analyze by simulator and real road conditions also determine the hardness of the seat foam. Based on obtain parameters, the regression analysis will develop and validate the mathematical model for Proton Saga driver seat as the benefits of mathematical modelling able to simplify complex situations and helps our understanding the real world as certain variables can readily be changed

Transforming brand core values into perceived quality: A Volvo case study

Core values are an important part of Volvo Car Group’s and Volvo Trucks’ strategic development plans. These two companies share the same core values, quality, safety, and environmental care, but they approach these values in different ways. This study seeks to understand how industry professionals and customers perceive these core values and the attributes that are associated with them, using semi-structured interviews with industry professionals from both companies and quantitative survey methods with customers. The purposes of this study are to investigate how designers convey core values to customers through product attributes and how customers perceive those core values through the same attributes. Such an understanding reveals the commonalities and discrepancies between the perspectives of producers and customers, and can contribute to more effective design processes that communicate company values in the early product development phases

Passive and active safety features in passenger cars

Tato bakalářská práce je zaměřena na bezpečnostní prvky všeho druhu v osobních automobilech a jejich obecným seznámením. Tyto prvky jsou dále rozděleny, rozvíjeny a stručně popsány. Práce obsahuje také krátké shrnutí historie bezpečnostních prvků. Závěr obsahuje zhodnocení přínosu jednotlivých prvků. V práci je dále vloženo video s crash testem.This bachelor thesis deals with safety elements of all kinds in personal vehicles and their general introduction. This elements are divided and broadened and roughly described. My work contains short summary of history of safety elements. Conclusion contains evaluation of individual elements. Video with crash test is inserted in this graduate work.