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Computer Science > Computer Vision and Pattern Recognition

arXiv:2105.13580 (cs)
[Submitted on 28 May 2021]

Title:MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors

Authors:Björn Borgmann (1 and 2), Volker Schatz (1), Marcus Hammer (1), Marcus Hebel (1), Michael Arens (1), Uwe Stilla (2) ((1) Fraunhofer IOSB, Ettlingen, Germany, (2) Technical University of Munich (TUM), Munich, Germany)
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Abstract:We present the current state of development of the sensor-equipped car MODISSA, with which Fraunhofer IOSB realizes a configurable experimental platform for hardware evaluation and software development in the context of mobile mapping and vehicle-related safety and protection. MODISSA is based on a van that has successively been equipped with a variety of optical sensors over the past few years, and contains hardware for complete raw data acquisition, georeferencing, real-time data analysis, and immediate visualization on in-car displays. We demonstrate the capabilities of MODISSA by giving a deeper insight into experiments with its specific configuration in the scope of three different applications. Other research groups can benefit from these experiences when setting up their own mobile sensor system, especially regarding the selection of hardware and software, the knowledge of possible sources of error, and the handling of the acquired sensor data.
Comments: Authors' version of an article accepted for publication in Applied Optics, 9 May 2021
Subjects: Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); Systems and Control (eess.SY)
Cite as: arXiv:2105.13580 [cs.CV]
  (or arXiv:2105.13580v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2105.13580
Journal reference: Applied Optic 60(22), pp. F50-F65, 2021
Related DOI: https://doi.org/10.1364/AO.423599

Submission history

From: Marcus Hebel [view email]
[v1] Fri, 28 May 2021 04:21:39 UTC (6,579 KB)
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