RF Sensing for Automotive Interior Monitoring
Interior monitoring systems in passenger cars are becoming increasingly vital, driven by two primary factors: (i) stringent legal and regulatory mandates, and (ii) the increasing autonomy levels (L2+). The "child left behind" scenario is already governed by legal provisions in the United States and Europe, with anticipated global adoption. Despite being a prominent solution, camera-based monitoring encounters challenges such as limited line of sight and variable light conditions.
Future interior monitoring solutions also target health monitoring for both drivers and passengers, focusing on areas like drowsiness detection, respiration, and heart rate. This presentation explores complementary approaches to camera-only systems, emphasizing enhanced accuracy and coverage while potentially reusing vehicular access infrastructure. Leveraging commercial ultra-wideband (UWB) radios and/or 60GHz radars, the proposed sensor system integrates advanced AI algorithms tailored to automotive standards.
A technical exposition will delve into the operational mechanics of such sensor systems including a healthy competition between advanced signal processing and machine learning based approaches (recipient of several best paper award nominations). The presentation will be complemented by a demonstration featuring automotive applications (video), offering a comprehensive insight into the evolving landscape of interior monitoring technology for passenger cars.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- 3165 Kifer Road
- Building B (Cafeteria Area)
- Santa Clara, California
- United States 95051
- Click here for Map
- Contact Event Host
-
-
Bernard Herrera-Soukup
IEEE SFBA MEMS & Sensors Chapter, Chair
-
- Starts 17 July 2025 06:30 PM UTC
- Ends 25 July 2025 02:00 AM UTC
- No Admission Charge
Speakers
Dr. Vivek Jain of Bosch Research
Biography:
Dr. Vivek Jain received the bachelor’s degree in electronics and communication engineering from the Indian Institute of Technology Roorkee, in 2002, and the Ph.D. degree in computer science and engineering from the University of Cincinnati, in 2007. In 2006, he joined Bosch and brings in extensive domain knowledge and research experience in automotive, industrial, building, residential and sensor networking applications. He heads the wireless connectivity and sensing group at Bosch Research, where he leads research on ML/AI models for wireless, RF localization and sensing, intelligent connectivity, cooperative wireless networks, and lightweight implementation. He recently obtained a Certificate of Excellence in Technology Strategy from the Berkeley Haas School of Business in 2024.
Dr. Jain has authored 95+ patents & publications and 55+ Bosch Research Reports. Recent highlights include Robert Bosch Inventor Award 2023 for UWB systems, Robert Bosch Innovation Award 2019 for Perfectly Keyless product, and collaboration with NASA for lunar rovers smart docking. He is a Senior Member of IEEE and served as a reviewer/TPC for 40+ diverse international journals and conferences. He has also served as a Judge for CES Innovation Awards 2022-2025 and “Create the Future” design contest by SAE Media Group 2020-2022.
Address:United States
Agenda
6:50 - 7 PM: Registration
7-8 PM: Talk and Q&A