Probabilistic signal interpretation methods for a thermopile pedestrian detection system

Linzmeier, D.T.; Vogt, David; Prasanna, Prateek

doi:10.1109/ivs.2005.1505070

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…A pedestrian detection system based on thermopile sensors has been proposed [4]- [6]. In order to evaluate this system, an extensive amount of real measurement data has been collected.…”

Section: Discussionmentioning

confidence: 99%

“…Consequentially, the model of the integrated thermopile sensor has to provide the measurement space as its result. Therefore, the model satisfies the following mapping g:G -* U (6) where G is the scene model. The scene model, obtained from the existing simulation system, is a discrete description of the spatial and temporal behaviour of simulation objects such as cars, pedestrians, and trees.…”

Section: Thermopile Simulationmentioning

confidence: 99%

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Simulation of Thermopile IR-Sensors for Automotive Safety Applications

Linzmeier

Mekhaiel

Koestler

et al.

2006 IEEE 63rd Vehicular Technology Conference

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The growing demand for active safety systems implies also the requirement for new and suitable evaluation and test processes for such systems. However, the evaluation of these systems is in most cases a non trivial, time consuming and expensive task. Especially, for active pedestrian protection systems, which are based on infrared detection of humans. In this paper we present a simulation of Thermopile sensors to evaluate the performance of an infrared based pedestrian detection system. By means of the simulation tool, any test scenario can be generated and the simulation provides the sensor data to the generated scenario. The simulated sensor output depends on the objects placed in the virtual environment and the background radiation. Considering the physical sensor dimensions and Planck's radiation law, an approximate image of the reality can be achieved. Thereby, it is possible to simulate pedestrian crash tests, which saves extensive time of testing and enables a fast optimization and adaption of the system.

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“…A pedestrian detection system based on thermopile sensors has been proposed [4]- [6]. In order to evaluate this system, an extensive amount of real measurement data has been collected.…”

Section: Discussionmentioning

confidence: 99%

Section: Thermopile Simulationmentioning

confidence: 99%