2007
DOI: 10.1109/ivs.2007.4290129
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Vehicle Identification Using Near Infrared Vision and Applications to Cooperative Perception

Abstract: International audienceVehicles will be in the next future equipped with V2V telecommunication means to exchange data, such as the presence of an obstacle on the road, or an emergency braking notification. Vehicles are also more and more equipped with perception systems (cameras, laser scanners, radars) that enable them to explore the immediate environment, including other vehicles. We propose in this paper an on-board optical vehicle identification system to enable telecom and perception systems to cooperate. … Show more

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Cited by 6 publications
(12 citation statements)
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“…The blinking frequency is roughly a third of the frequency of the cameras to avoid possible aliasing. Unlike [13], we choose a rather simple design of the LED lamp 1 www.amtrim.com (a) (b) Fig. 1.…”
Section: B Detection Of the Handmentioning
confidence: 99%
“…The blinking frequency is roughly a third of the frequency of the cameras to avoid possible aliasing. Unlike [13], we choose a rather simple design of the LED lamp 1 www.amtrim.com (a) (b) Fig. 1.…”
Section: B Detection Of the Handmentioning
confidence: 99%
“…By attaching an Emitter (with its unique identifier) to an object (such as a road sign), the Receiver can detect, identify, and locate it on the road scene. Full details of the Near-Infrared Optical Identification sensor can be found in (von Arnim, 2007 and2008) This collaboration was implemented using the support provided by the KSM and its executable platform, turning the Smartdust and the Near-Infrared Optical Identification sensors into two collaborating KSSs. Among others, this collaboration enables a more robust Road Sign Recognition Application to be implemented, where one sensor's capabilities can complement the other's weaknesses.…”
Section: Knowledge Sharing Sensor (Kss)mentioning
confidence: 99%
“…The process is divided in two parts: an emitting near IR lamp on the back of an object, emitting binary messages (an unique ID code), and a high speed camera with a band pass filter centered around near IR, associated to an image processing algorithm to detect the sources, track them and decode the messages. This sensor is described more in details in (Von Arnim et al, 2007).…”
Section: Optica' Identification Sensormentioning
confidence: 99%
“…can be considered as robots; the development of Advance Driving Assistance Systems (ADAS), such as collision mitigation, collision avoidance, pre-crash or Automatic Cruise Control, requires that reliable road obstacle detection systems are available. To perform obstacle detection, various approaches have been proposed, depending on the sensor involved: telemeters like radar (Skutek et al, 2003) or laser scanner Mendes et al, 2004), cooperative detection systems (Griffiths et al, 2001;Von Arnim et al, 2007), or vision systems. In this particular field, monocular vision generally exploits the detection of specific features like edges, symmetry (Bertozzi et al, 2000), color (Betke & Nguyen, 1998) (Yamaguchi et al, 2006) or even saliency maps (Michalke et al, 2007).…”
Section: Introductionmentioning
confidence: 99%