Observatorio de I+D+i UPM

Descripción
Many driver assistance systems require knowledge of the vehicle environment. As these systems are increasing in complexity and performance, this knowledge of the environment needs to be more complete and reliable, so sensor fusion combining long, medium and short range sensors is now being used. This paper analyzes the feasibility of using ultrasonic sensors for low cost vehicle-positioning and tracking in the lane adjacent to the host vehicle in order to identify free areas around the vehicle and provide information to an automatic avoidance collision system that can perform autonomous braking and lane change manoeuvres. A laser scanner is used for the early detection of obstacles in the direction of travel while two ultrasonic sensors monitor the blind spot of the host vehicle. The results of tests on a test track demonstrate the ability of these sensors to accurately determine the kinematic variables of the obstacles encountered, despite a clear limitation in range.
Internacional	No
JCR del ISI	No
Título de la revista	Sensors
ISSN	1424-8220
Factor de impacto JCR	2,245
Información de impacto
Volumen
DOI	10.3390/s141222689
Número de revista	12
Desde la página	22689
Hasta la página	22705
Mes	NOVIEMBRE
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Esta actividad pertenece a memorias de investigación

• Autor: Felipe Jimenez Alonso (UPM)
• Autor: Jose Eugenio Naranjo Hernandez (UPM)
• Autor: Oscar Gomez Casado (UPM)
• Autor: Jose Javier Anaya Catalan (UPM)

• Creador: Departamento: Inteligencia Artificial