Abstract
Estimating the shape of vehicles is crucial for radar-based advanced driver assistance and safety systems. However, conventional radar processing is unable to resolve the different parts of a vehicle as required for this task. To address this issue a two-stage approach is considered which employs high-resolution techniques in combination with conventional Fourier-based methods. Single- and two-dimensional high-resolution estimation is discussed, which includes range and range-rate estimation in the temporal dimensions of the radar data. A novel technique referred to as cell interpolation is proposed, which can employ range and range-rate estimates in combination with Fourier-domain data for direction-of-arrival estimation. Two-stage processing has been implemented in the case of two-dimensional high-resolution estimation using the spectral RELAX algorithm and experimental results are shown.
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Engels, F. (2014). Target Shape Estimation Using an Automotive Radar. In: Schmidt, G., Abut, H., Takeda, K., Hansen, J. (eds) Smart Mobile In-Vehicle Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9120-0_16
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DOI: https://doi.org/10.1007/978-1-4614-9120-0_16
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