IVVI: Intelligent vehicle based on visual information

Armingol, José María; Escalera, Arturo de la; Hilario, Cristina; Collado, J.M.; Carrasco, Juan Pablo; Flores, Marco Javier; Pastor, José Manuel; Rodríguez, Fernando Martín

doi:10.1016/j.robot.2007.09.004

Cited by 38 publications

(18 citation statements)

References 22 publications

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“…We decided to address this problem with a focused approach, that makes the designed algorithm very centered on this single task. Other more general approaches are proposed in literature for regions of interest detection, as white detection algorithms in [2], [11] and circle detection based. Anyway, none seems to be sufficiently independent of lighting and background conditions.…”

Section: Discussionmentioning

confidence: 99%

An algorithm for Italian de-restriction signs detection

Caraffi

Cardarelli

Medici

et al. 2008

2008 IEEE Intelligent Vehicles Symposium

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Abstract-Color has proved to be an important feature to be exploited for road signs detection on images; however, not all road signs have distinctive color characteristics. This paper presents a shape-based approach for Italian de-restriction signs detection; the developed algorithm uses a black band extractor to highlight regions of interest, where a circle shape detection is performed. Tracking is used in order to increase reliability. The obtained detector is robust to different illumination conditions and shadows, and can manage different kinds of noise and perturbation. Despite its sensitiveness, the detector showed few false positives during performed tests.

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Section: Discussionmentioning

confidence: 99%

An algorithm for Italian de-restriction signs detection

Caraffi

Cardarelli

Medici

et al. 2008

2008 IEEE Intelligent Vehicles Symposium

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“…In line with Intelligent Transport System (ITS) trend, in the future, automatic controlled steering is predicted to be implemented [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Potential Usage of Incremental-Type Rotary Encoder Application for Angle Sensing in Steering System

Kaleg¹,

Muharam²,

Kurnia³

et al. 2014

J. Mechatron. Electr. Power Veh. Technol.

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The main target of a steering system is that the driver can change vehicle trajectory in accordance with the desired direction. Power steering has become a standard feature in automobile. It provides assisting power when the driver turns the steering wheel. The well-known power steering types include; Hydraulic Power Steering (HPS), Electro -Hydraulic Power Steering (EHPS), and Electric Power Steering (EPS). EHPS or EPS uses an Electronic Control Unit (ECU), which is specific for each vehicle. The ECU should be able to regulate power of electric motor to provide corresponding assisting power for the steering wheel. Therefore, ECU requires input signals, one of which is vehicle wheel angle that can be indicated from the vehicle steering wheel angle. Incremental type of Rotary Encoder (RE) is used in steering angle sensor on a minibus. RE specification used was 60 pulses per rotation and the minibus steering transmission specification is 3.5 round of right wheel off angle to the left wheel off angle. So we get the RE angular resolution of 6º per pulse and 105 number of pulses to half of the steering transmission ratio. Repeatability then was tested against a steering angle counter module. Testing was done with a test cycle consisting 3 repetitions: condition center of the steering wheel, the steering wheel is turned to full right, then to the full left, then back to the right up to the steering wheel center. The results obtained were 2 pulses deviation, or equivalent to 12º of steering angle.

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“…At the present time, vehicle security research is focused on driver analysis [2,10,11], for this reason, the main objective is to build an intelligent system able to alert the driver about a possible road accident; this technology will increase vehicle safety, anticipating dangerous situations that may arise due to human error while driving. In particular, distraction and drowsiness are studied in depth during this research.…”

Section: Introductionmentioning

confidence: 99%

Un nuevo sistema para detectar la distracción y la somnolencia utilizando el tiempo de tecnología de vuelo para vehículos inteligentes

Flores-Calero

Guevara

Valencia

2014

Av. Cienc. Ing. (Quito)

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Nowadays, most countries in the world suffer several traffic issues which generate public health problems such as deaths and injuries of drivers and pedestrians. In order to reduce these fatalities, a system for automatic detection of both distraction and drowsiness is presented in this research. Artificial intelligence, computer vision and time of flight (TOF) technologies are used to compute both distraction and drowsiness indexes, in real time. Several experiments have been developed in real conditions during the day, inside a real vehicle and in laboratory conditions, to prove the efficiency of the system. Keywords. Distraction, drowsiness, traffic accidents, TOF technology, intelligent vehicles. ResumenLa mayoría de los países en el mundo sufren de varios problemas de tráfico que generan problemas de salud pública, tales como, excesivas muertes y lesiones de los conductores y los peatones. Con el fin de reducir estas cifras de siniestralidad, en esta investigación se presenta un sistema para la detección automática de la distracción y la somnolencia. Las tecnologías de inteligencia artificial, visión por computador y una cámara de tiempo de vuelo (TOF) son utilizadas para calcular los índices de distracción y somnolencia, en tiempo real. Varios experimentos se han desarrollado en condiciones reales durante el día, dentro de un vehículo real y en el laboratorio, para probar la eficiencia del sistema.Palabras Clave. Distracción, adormecimiento, accidentes de tráfico, tecnología TOF, vehículos inteligentes.

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IVVI: Intelligent vehicle based on visual information

Cited by 38 publications

References 22 publications

An algorithm for Italian de-restriction signs detection

An algorithm for Italian de-restriction signs detection

Evaluation of Potential Usage of Incremental-Type Rotary Encoder Application for Angle Sensing in Steering System

Un nuevo sistema para detectar la distracción y la somnolencia utilizando el tiempo de tecnología de vuelo para vehículos inteligentes

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