Poster + Paper
31 May 2023 Temporal behavior and processing of the LiDAR signal in fog
Author Affiliations +
Conference Poster
Abstract
The interest in LiDAR imaging systems has recently increased in outdoor ground-based applications related to computer vision, in fields like autonomous vehicles. However, for the complete settling of the technology, there are still obstacles related to outdoor performance, being its use in adverse weather conditions one of the most challenging. When working in bad weather, data shown in point clouds is unreliable and its temporal behavior is unknown. We have designed, constructed, and tested a scanning-pulsed LiDAR imaging system with outstanding characteristics related to optoelectronic modifications, in particular including digitization capabilities of each of the pulses. The system performance was tested in a macro-scale fog chamber and, using the collected data, two relevant phenomena were identified: the backscattering signal of light that first interacts with the media and false-positive points that appear due to the scattering properties of the media. Digitization of the complete signal can be used to develop algorithms to identify and get rid of them. Our contribution is related to the digitization, analysis, and characterization of the acquired signal when steering to a target under foggy conditions, as well as the proposal of different strategies to improve point clouds generated in these conditions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Ballesta-Garcia, Ana Rodríguez-Aramendía, Pablo García-Gómez, Noel Rodrigo, and Santiago Royo "Temporal behavior and processing of the LiDAR signal in fog", Proc. SPIE 12572, Optical Sensors 2023, 1257213 (31 May 2023); https://doi.org/10.1117/12.2665060
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KEYWORDS
Point clouds

LIDAR

Backscatter

Visibility through fog

Imaging systems

Signal detection

Signal processing

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