You must be logged in  to watch this session

Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy.

Sense Media, on behalf of AutoSens, needs the contact information you provide to us to update you with information about AutoSens and our products. You may unsubscribe from these communications at anytime. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our privacy policy.

In-Cabin Sensing using mmWave Radar for Improved Safety and Comfort

Event: InCabin USA
| Session date: Thursday 12th June
Session date: Thursday 12th June
, 2025

Hear from:

Sudharshan Nagarathnam
Sudharshan Nagarathnam
Sudharshan Nagarathnam
Systems Manager,

Texas Instruments

Sudharshan Nagarathnam
Sudharshan Nagarathnam
Sudharshan Nagarathnam
Systems Manager,

Texas Instruments

The in-cabin market is evolving due to both new regulation and increased demands for improved passenger comfort. Specifically, recent regulations including “Euro-NCAP 2026 protocols for occupant monitoring” and “FMVSS 208 – Occupant Crash Protection – Seat Belt Reminder Systems” require a variety of measures to ensure reliable occupant detection, localization, and classification. Similarly, insurance in Europe (Thatcham in UK) requires the vehicles to be equipped with intrusion detection capabilities, and demands for enhanced comfort through targeted climate control and audio control require occupant localization. Current sensing modalities primarily address each in-cabin sensing task individually and have limited capability of covering other tasks. For example, a traditional sensor that can do in-seat occupant detection can not do intrusion detection. To cover multiple key in-cabin sensing tasks, namely intrusion detection, occupant detection, occupant localization, and occupant classification as child or adult, we present a single-sensor solution using mmWave radar with real-world implementations and demonstrations.

Passes0
There are no passes in your basket!
0