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

EasyChair Preprint 9278

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

@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 9278},
  year      = {EasyChair, 2022}}