Mr. Hauke Dierend Profile

Hauke Dierend

at Leibniz Univ Hannover

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Proceedings Article | 4 March 2022 Presentation + Paper

Active NIR illumination for improved camera view in automated driving application

Max C. Sundermeier, Hauke Dierend, Peer-Phillip Ley, Alexander Wolf, Roland Lachmayer

Proceedings Volume 12022, 120220A (2022) https://doi.org/10.1117/12.2608162

KEYWORDS: Near infrared, Cameras, Headlamps, Optical filters, Roads, Light sources and illumination, Quantum efficiency, Imaging systems, Sensors, Light emitting diodes

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The advance of automated vehicles imposes increasing requirements on the sensor system of vehicles. Besides the ongoing development of perception algorithms, different hardware approaches exist in order to improve the detection of infrastructure and road users. In the far-field in front of the vehicle, the detection of infrastructure and road users relies on camera and LiDAR systems. However, the reliability of both systems is influenced by weather conditions, especially due to reflections from snow, rain, or fog and the camera by the ambient lighting as well. Optimized algorithms are implemented to improve the vision of both systems but limitations remain. RaDAR is proven to work more reliably in adverse weather conditions but struggles in providing sufficient data for detailed object classification. In combination with data fusion, the sensor systems can provide a partly redundant perception of the road and its users. This paper aims to provide a proof of concept for the improvement of the vision of camera systems in low light by using active NIR illumination. For this purpose, the spectral emission of visible and near-infrared sources is compared with the sensitivity of a camera. Considering regulatory emission limits, an optimal wavelength for additional NIR lighting is determined. Based on the determined wavelength we research the correlation between the output power of the sources and the camera’s perceived brightness and introduce possible applications for the additional NIR illumination

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