Performance evaluation of FIR sensor systems applied to pedestrian detection

S. Franz; R. Schweiger; O. Loehlein; D. Willersinn; K. Kroschel

doi:10.1117/12.850150

22 April 2010 Performance evaluation of FIR sensor systems applied to pedestrian detection

S. Franz, R. Schweiger, O. Loehlein, D. Willersinn, K. Kroschel

Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 766217 (2010) https://doi.org/10.1117/12.850150
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Besides resolution, an important performance parameter of a FIR camera is the sensitivity. It depends on the sensitivity of the detector array itself and the characteristics of the optic. The effects of the optic are considerably driven by the f-number, with high values resulting in decreased sensitivity, but providing the possibility for simple lens design and cheaper production costs. In this contribution 4 different sensor setups with different optics are evaluated for their impact on the performance of trained pedestrian classifiers. To overcome the expensive and time consuming process of ground truth generation for multiple sensors, an approach for reusing available high sensitivity reference data is presented. Classifiers are trained on specially transformed reference data with characteristics of sensors with degraded sensitivity. For the evaluation of the classifiers, data of real world road scenarios is collected simultaneously with the target sensors mounted in parallel in a test vehicle, following a detailed script for recording a pedestrian scene test catalogue. This allows for a direct analysis and comparison of the different sensors and their impact on the detection performance.

Citation Download Citation

S. Franz, R. Schweiger, O. Loehlein, D. Willersinn, and K. Kroschel "Performance evaluation of FIR sensor systems applied to pedestrian detection", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 766217 (22 April 2010); https://doi.org/10.1117/12.850150

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KEYWORDS

Sensors

Databases

Sensor performance

Data acquisition

Roads

Calibration

Environmental sensing

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