A validation tool for traffic signs recognition systems

Marenco, Daniele; Fontana, Davide; Ghisio, G.; Monchiero, Gianluca; Cardarelli, Elena; Medici, Paolo; VisLab, Pier Paolo Porta

doi:10.1109/itsc.2009.5309713

Cited by 7 publications

(3 citation statements)

References 7 publications

(9 reference statements)

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“…The many possible lane arrangements and the numerous possibilities of lanespecific signs make the lane info traffic signs a relatively difficult targetcompared to other more uniform traffic signs, e.g., speed limit traffic signs -for automatic traffic sign recognition [12]. As a consequence, though automatic traffic sign recognition systems are deployed in new cars at an increasing rate [8] and many high-end cars are equipped now with such systems, the lane info traffic signs are often neglected by these recognition systems because of the high variability of the lane arrangements and their corresponding arrow-based representations. It is so, despite claims that many of these recognition systems are able to recognize "almost the complete set of traffic signs".…”

Section: Lane Information Road Traffic Signsmentioning

confidence: 99%

Computerized Recognition of Traffic Signs Setting Out Lane Arrangements

Fazekas

Gáspár

2015

APH

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Section: Lane Information Road Traffic Signsmentioning

confidence: 99%

Computerized Recognition of Traffic Signs Setting Out Lane Arrangements

Fazekas

Gáspár

2015

APH

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“…Until a speed of 15km/h the accident can be avoided and at a higher speed the gravity of the collision may be significantly reduced. [10][11][12][13]. It identifies all traffic signs with external red mark and black characters or blue background for direction and flashing yellow signs for work.…”

Section: Assistant Achievementmentioning

confidence: 99%

An Agent Infrastructure For the Human Driver Assistant

Diaconescu

Mihai

Vlădăreanu

2013

AMM

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The paper the original development of a device having the ability of data acquisition representing operating and control decisions from operation made by a automotive driver inside the cars cabin presents. The device is producing analogical and digital signals which can be interpreted and statistically processed to obtain information regarding emotional state or abilities of the driver, for example nervous state or his accuracy of the operations done in dynamic state when driving a certain car. The device is portable, it can be installed easily in the cars cabin without any physical intrusions in the structure of the vehicle and after installed it will acquire signals from acceleration, brake, gear shifter, clutch and the velocity of the vehicle. Evaluating the emotional state of the driver and the accuracy of the movements done by him during a driving session, the device can emit acoustic and visual output signals which in a certain manner will help to improve drivers skills. The human driver can interact with this device trough the touch screen display. If more of this devices having typical agents proprieties, are installed on vehicles, they can interact easily between them and communicate with an monitoring authority which is directing the traffics flow forming a SMA. The result of monitoring by a SMA of emotional states of the group of human drivers, as a second solution, complementary with the usage of the monitoring video cameras, can be useful to group leader (the detection of fatigue and exhaustion), or to the traffic flow legal authority (fluidization measures when detecting a growing of nervous state at a certain group in an area).

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“…• Reconhecimento de Sinais de Trânsito (Traffic Sign Recognition): tem por objetivo ajudar o motorista a detectar e classificar os sinais de trânsito que definem perigos e limitações das estradas (MARENCO et al, 2009). Com este sistema pode-se reconhecer, por exemplo, o limite de velocidade ou curvas acentuadas à frente.…”

Section: Sistemas Avançados De Assistência Ao Condutorunclassified

Sistema ADAS para identificação de distrações e perturbações do motorista na condução de veículos

Berri¹

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Agradeço a Deus, por escolher para mim este caminho e nele me fazer caminhar. A meus pais, Laurindo e Salete, pelo apoio incondicional nos meus estudos, trabalho e demais desafios assumidos. Ao meu irmão Gabriel que, mesmo longe, buscou me auxiliar sempre que possível. Aos inúmeros amigos e colegas que contribuíram ou com um pouco do seu conhecimento, ou mesmo, com apoio no decorrer dos anos de estudos, sou muito agradecido. Ao professor Dr. Fernando Santos Osório pela amizade, orientação, contribuições e adequações ao trabalho. À CAPES, pelo auxílio financeiro durante a realização do trabalho.À PPG-CCMC, pelas oportunidades que o programa traz ao doutorando na aquisição e geração de conhecimento.Agradeço muito aos 23 colaboradores que disponibilizaram seu tempo para a obtenção dos dados de validação e treinamento do sistema apresentado neste trabalho, e dentre os quais, alguns perderam uma noite inteira de sono para efetuar o teste de direção sonolenta.Agradeço a professora Ana Paula C. Larocca e ao STI/EESC/USP por disponibilizarem um incrível lugar para coleta de dados envolvendo os motoristas participantes. E agradeço ao colega Tiago dos Santos que criou um cenário virtual de uma autoestrada para os experimentos, ao qual, o simulador de direção desenvolvido se baseou."O temor do Senhor é o princípio do conhecimento mas os insensatos desprezam a sabedoria e a disciplina."

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A validation tool for traffic signs recognition systems

Cited by 7 publications

References 7 publications

Computerized Recognition of Traffic Signs Setting Out Lane Arrangements

Computerized Recognition of Traffic Signs Setting Out Lane Arrangements

An Agent Infrastructure For the Human Driver Assistant

Sistema ADAS para identificação de distrações e perturbações do motorista na condução de veículos

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