Blog

It is key to explore the role of in-cabin sensors, particularly DMS, to infer the driver’s fitness to drive. Focused on enhancing safety, these systems are designed to detect and respond to various forms of driver distraction and impairment, offering a proactive approach to mitigate potential risks on the road. The personal or biometric dataRead more

Ensuring optimal driver situational awareness is crucial for enhancing safety and driving efficiency. August explores the advanced methodologies of in-cabin sensing systems designed to provide drivers with the right information at the right time, preventing information overload and decision paralysis. By integrating real-time data analysis and adaptive feedback mechanisms, these systems can dynamically adjust theRead more

This presentation addresses the technological advancements in DMS and OMS with a focus on the pivotal roles played by infrared cameras, time-of-flight (ToF) cameras, and radars. We explore the evolution of these technologies from their inception to their current state-of-the-art implementations, highlighting their advantages and drawbacks. To highlight the historical context and technological progress, itRead more

In shared ride environments, ensuring passenger safety and detecting potential threats have become critical challenges. Exploring an AI-driven solution that leverages real-time surveillance, facial recognition, body movement analysis, and speech recognition to proactively identify and address safety concerns. By implementing advanced sensing technologies, this approach enhances passenger protection and creates a safer experience during everyRead more

After another insightful & productive day full of presentations & discussions from the industry, our conference chair concludes the event with a short summary of the most important insights from the sessions.Read more

The role of in-cabin sensors has expanded from basic occupant detection to a sophisticated suite of features aimed at safety, comfort, and user personalization. Embedl explores how AI enhances in-cabin sensors to provide real-time insights into driver and passenger states, optimize vehicle responses, and create tailored in-car experiences. We examine the latest advancements in sensorRead more

Achieving robust AI model performance in industry applications is a significant challenge due to the complexity and diversity of real-world scenarios. Data-centric AI development can be used to provide the depth and nuance required for high-performing models, addressing challenges such as edge cases and bias with diverse human data. This session will cover best practicesRead more

After an insightful & productive day full of presentations & discussions from the industry, our conference chair concludes the first event day with a short summary of the most important insights from the sessions.Read more

HMI has a long and varied history and has gone by many names and crossed many industries. However, through all this time and change, its purpose has remained focused… with a few deviations. This presentation will track HMI’s fascinating history, development, and progress, infusing memorable examples, and how to go forward in this ever-evolving automotive industry. YouRead more

As vehicle sensing, computational, and assistance systems advance, supporting driver attention in real-time across a range of operating contexts is crucial. Traditional distraction mitigation approaches and design guidelines have not evolved with vehicle technology and the growing research on driver attention management. The AHEAD consortium, an academic-industry partnership led by MIT, is pioneering the developmentRead more