Meyer et al., 2020 - Google Patents
Complex-valued convolutional neural networks for automotive scene classification based on range-beam-doppler tensorsMeyer et al., 2020
View PDF- Document ID
- 16056254424282438179
- Author
- Meyer M
- Kuschk G
- Tomforde S
- Publication year
- Publication venue
- 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
External Links
Snippet
In this work, we solve the task of automotive traffic scene classification using a deep learning approach on low-level radar data. In contrast to existing approaches using 2D camera images, the input are complex-valued 3D range-beam-doppler tensors outputted by an …
- 230000001537 neural 0 title abstract description 14
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
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- G—PHYSICS
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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