Radars have become very important in the automotive field, as they can be used to increase safety and support autonomous driving. These devices work in the mmWave frequency range and allow a maximum range of 150m yet providing a great accuracy in distance measurement at a low cost. By processing the phase information taken from the radar is it possible to increase the precision of the radar and allow for a resolution in the order of tens of microns. In the present paper automotive radars are applied to the contactless monitoring of people walking, with the aim to evidence some peculiarities of the movement such as walking speed, length and speed of the steps, movement of legs and arms. The obtained results confirm the applicability of this radar in such a context, in order to obtain information to be used in machine learning application for an automatic identification of walking aspects.
People Movement Analysis with Automotive Radar / Gambi, E.; Ciattaglia, G.; De Santis, A.. - ELETTRONICO. - (2019), pp. 233-237. (Intervento presentato al convegno 23rd IEEE International Symposium on Consumer Technologies, ISCT 2019 tenutosi a ITALIA, Ancona nel 19 June 2019 through 21 June 2019) [10.1109/ISCE.2019.8900975].
People Movement Analysis with Automotive Radar
Gambi E.
;Ciattaglia G.;De Santis A.
2019-01-01
Abstract
Radars have become very important in the automotive field, as they can be used to increase safety and support autonomous driving. These devices work in the mmWave frequency range and allow a maximum range of 150m yet providing a great accuracy in distance measurement at a low cost. By processing the phase information taken from the radar is it possible to increase the precision of the radar and allow for a resolution in the order of tens of microns. In the present paper automotive radars are applied to the contactless monitoring of people walking, with the aim to evidence some peculiarities of the movement such as walking speed, length and speed of the steps, movement of legs and arms. The obtained results confirm the applicability of this radar in such a context, in order to obtain information to be used in machine learning application for an automatic identification of walking aspects.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
