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In-Cabin Radar Monitoring System: Detection and Localization of People Inside Vehicle Using Vital Sign Sensing Algorithm

EasyChair Preprint no. 9278

6 pagesDate: November 8, 2022

Abstract

Radars are used in automobiles for various functionalities, starting from the obstacle alarm during vehicle reversing to advanced functionalities like autonomous driving. A practical method for monitoring people inside a vehicle for various applications (surveillance, safety, etc.) could be built using Radar. This paper presents the embedded implementation of a vital sign sensing algorithm using the radar signal processing (RSP) technique. MEX (MATLAB executable) interface is performed with the embedded C code of the vital sign sensing algorithm generated for validating the results with the RSP technique. Finally, Unit testing is performed on the developed embedded C code of the vital sign sensing algorithm to remove the dead codes and to verify whether all branches and statements in a developed algorithm are working accordingly. The embedded C code results were found to be matching precisely with the RSP technique. With the help of obtained results, we can differentiate between an adult and a baby inside a vehicle.

Keyphrases: Automotive, CAN, Embedded Implementation, In-Cabin sensing, LiDAR

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:9278,
  author = {A C Ramachandra and V Viswanatha and K Kishor and H Suhas and E Pannir Selvam},
  title = {In-Cabin Radar Monitoring System: Detection and Localization of People Inside Vehicle Using Vital Sign Sensing Algorithm},
  howpublished = {EasyChair Preprint no. 9278},

  year = {EasyChair, 2022}}
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