METHOD AND DEVICE FOR DETECTING OBJECTS

A method is provided for detecting objects by using a radar sensor and by using a device configured to establish a neural network. A plurality of raw radar data points is captured. At least one object class is defined comprising a predefined object type and a geometrical shape for enclosing an objec...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	CENNAMO, Alessandro, KÄSTNER, Florian
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING
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Beschreibung
Zusammenfassung:	A method is provided for detecting objects by using a radar sensor and by using a device configured to establish a neural network. A plurality of raw radar data points is captured. At least one object class is defined comprising a predefined object type and a geometrical shape for enclosing an object. Via a first stage of the neural network, a semantic segmentation is performed for the data points regarding the object class and background, and for each data point, a rough approximation is estimated for a spatial condition of the geometrical shape. Based on this rough approximation and via a second stage of the neural network, a subset of the data points is selected based on the semantic segmentation, and for each data point of the subset, a refined approximation for the spatial condition of the geometrical shape and a confidence score for the refined approximation are estimated.