Discover the best of AutoSens USA 2025 on AutoSensPLUS; an ever-growing library of over 1000 technical videos exploring the latest cutting-edge insights in ADAS, AVs, and In-Cabin Monitoring Technologies.
Start by watching two standout sessions for free, featuring expert talks from OMNIVISION and the University of Warwick.
When you’re ready to go deeper, subscribe to AutoSensPLUS for just £198/year and unlock full access to the entire content library of over 1000 videos from all previous AutoSens and InCabin events. Take a look below to find out more…
Don’t miss these sessions ⬇
Eiichi Funatsu
VP of Technology
This keynote explores how these evolving demands shape image sensor architectures, future system designs, and perception methodologies. Navigate the next frontier of automotive imaging technology and its transformative role in the future of mobility.
Ghazal Farhani
Research Officer
Presenting preliminary results of a graph-based approach, alongside Chamfer distance, as a novel metric to evaluate the reliability of VTEs in faithfully
representing real-world conditions.
Elizabeth Kao
Product Management Director for Automated Driving and Driver Assistance Systems
Exploring how sensor fusion can “right-size” ADAS sensor suites to optimize performance without compromising safety. By combining camera and high-precision radar sensors and leveraging machine learning, we can significantly enhance safety systems, such as Automatic Emergency Braking (AEB), even in challenging conditions like the dark of the night. Discover how this innovative approach can extend detection range and improve system efficiency, paving the way for smarter, more cost-effective ADAS solutions.
Quantifying the effect of weather on automotive 4D RADAR
Pak Hung Chan
Project Engineer
This talk discusses the effect of adverse weather using collected real world automotive 4D RADAR data. This analysis demonstrates that a quantifiable variation can be observed in data collected in adverse weather when compared against a clear condition baseline. The proposed methodology provides a valuable tool to practitioners to quantify 4D data degradation, and the results show and quantify the weather impact on 4D RADAR data, evaluating also the baseline noisiness of the data.”
Driving Innovation: Automotive Partnership Ecosystems for Centralized Sensor Processing in High-Performance Computing Architectures
Emily Robb
Sr Fellow AI/AD Sensing, Processing, Localization,
As high-performance embedded computing platforms gain traction in the automotive sector, OEMs are increasingly embracing innovative system architectures and collaborative approaches. The centralization of computing capabilities allows what were once multiple separate ECUs to be consolidated into a single ECU, utilizing a collection of SoCs. This shift introduces new integration interfaces.
The centralization of high-bandwidth sensor data processing presents a unique opportunity for various customer feature applications to enhance their performance by accessing more raw information than ever before. By leveraging machine learning and artificial intelligence, existing features can be significantly improved. Additionally, new customer features can emerge by unlocking access to sensor data that was previously restricted by low-bandwidth network connections to edge ECUs.
Integrating multiple applications within the same SoC or ECU ecosystem paves the way for a transformative approach to automotive systems design & integration, emphasizing the integration of applications that share computing resources. To achieve highly computationally efficient and well-integrated solutions, OEMs will require a robust ecosystem of partners.
Interested in in-cabin monitoring technology?
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