We are excited to welcome Vamsi Krishna Konka, System Test Engineer, Stoneridge to InCabin USA 2026!
Read Vamsi Krishna Konka’s full interview below
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1. How is AI transforming the way in-cabin systems understand occupant state, behaviour, and intent?
With well-trained AI models, the system can identify critical scenarios—such as unattended infants in the vehicle during a drive or situations requiring immediate attention following an incident—enabling timely detection, prompt alerts, and appropriate response. This includes notifying EMS services when necessary to ensure rapid assistance and support passenger safety.
2. What are the key challenges in deploying AI models for real-time in-cabin applications, particularly around latency, reliability, and edge compute constraints?
Key challenges include ensuring privacy, minimizing data exposure, and mitigating security threats that could lead to unintended consequences.
In the event of an incident, timely response is critical. While continuous training of AI models enhances system performance, it must be carefully managed to avoid introducing latency that could delay detection, alerting, and response.
3. What role does personalization play in AI-driven in-cabin systems, and how can it be balanced with privacy and data governance requirements?
Personalized in-cabin experiences are rapidly evolving through continuous training and refinement of AI models, leading to improved system performance and user adaptability.
A key challenge lies in ensuring robust privacy protection, with strict adherence to regulations such as UN R155 and ISO/SAE 21434. Equally important is maintaining end-to-end lifecycle monitoring of the system’s cybersecurity posture and establishing effective incident detection and response mechanisms, which are critical to the success and trustworthiness of AI-driven in-cabin solutions.
Keep an eye out for more interviews with our InCabin USA 2026 speakers in the lead up to the event!
Interested in exterior sensing technology?
With a pass to InCabin USA, you’ll also get full access to our co-located sister event, AutoSens. The full agenda and line-up for AutoSens can be found here >>
