Investigating Intense Rainfall Influence on Distance Measurement with a Time-of-Flight Camera Sensor Using Optical Ray-Tracing Simulation Technique†
Marcus Baumgart1
Photonic Systems, CTR Carinthian Tech Research AG, 9524 Villach, Austria
2
Development Center Graz, Infineon Technologies Austria AG, 8020 Graz, Austria
*
Author to whom correspondence should be addressed.
†
Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018.
Proceedings 2018, 2(13), 1056; https://doi.org/10.3390/proceedings2131056
Published: 20 November 2018
(This article belongs to the Proceedings of EUROSENSORS 2018)
Robust, fast and reliable examination of the surroundings is essential for further advancements in autonomous driving and robotics. Time-of-Flight (ToF) camera sensors are a key technology to measure surrounding objects and their distances on a pixel basis in real-time. Environmental effects, like rain in front of the sensor, can influence the distance accuracy of the sensor. Here we use an optical ray-tracing based procedure to examine the rain effect on the ToF image. Simulation results are presented for experimental rain droplet distributions, characteristic of intense rainfall at rates of 25 mm/h and 100 mm/h. The ray-tracing based simulation data and results serve as an input for developing and testing rain signal suppression strategies.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Baumgart, M.; Druml, N.; Dielacher, M.; Consani, C. Investigating Intense Rainfall Influence on Distance Measurement with a Time-of-Flight Camera Sensor Using Optical Ray-Tracing Simulation Technique. Proceedings 2018, 2, 1056.
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