Abstract
Almost all manufacturers regard lidar sensors as a necessary extension of the environmental sensors already in use for the safe operation of automated driving functions from level 3 (highly automated). Recent developments provide a variety of information and also offer different detection patterns. This enables an extended and situation-dependent optimization of the environment recognition. However, both the different measuring principles and the physical limitations of the measuring principle pose enormous challenges for function development. The better the resolution of the systems, the more extensive the necessary algorithms with the corresponding requirements for real-time processing. Therefore, various examples should be used to explain how basic elements of the traffic infrastructure can be reliably and efficiently detected using lidar. In the field of object detection, the vehicle color is the limiting factor. The need to adapt the vehicle design to the sensor requirements is discussed.
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© 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Trautmann, T., Blechschmidt, F., Friedrich, M., Mendt, F. (2023). Possibilities and Limitations of Object Detection Using Lidar. In: Kulzer, A.C., Reuss, HC., Wagner, A. (eds) 23. Internationales Stuttgarter Symposium. ISSYM 2023. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-42048-2_3
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DOI: https://doi.org/10.1007/978-3-658-42048-2_3
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