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Look Ma, no hands! How technology innovation is driving automotive safety and autonomous vehicles

Posted on: Nov 22, 2013 | Duration: 20 minutes
Course | 244 views
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Overview:
According to governmental agencies, some 1.24 million people die in traffic accidents every year. Car accidents are the number one cause of death among young people, and the majority of these accidents are due to human error. But imagine a world where that these accidents are a distant memory. Imagine a safer automotive experience where the car does all the work, while giving drivers more personal freedom and greater fuel efficiency.

Technology innovation is enabling new advanced driver assistance systems and capabilities that are paving the way to the autonomous car and a safer automotive experience. In this educast, you'll learn about the trends and challenges that must be overcome -- and how analog and embedded processing are driving the sensing, video and imaging systems that will make autonomous driving a reality.

Presenter:
Roman Staszewski, System Architect, TI

Roman Staszewski is a system architect in ADAS embedded processor group as well as peer-elected Distinguished Member of Technical Staff at Texas Instruments. He's been at TI for over 20 years and has been involved in many aspects of complex SoC development, including high-performance digital design and validation, analog/RF/digital system integration, as well as software and system architecture. Roman co-created Digital RF Processor (DRP) technology allowing integration of RF transceivers with digital baseband processors into low-cost single-chip Bluetooth and cellular radios. He also developed advanced computer vision-based Natural User Interface (NUI) solutions for OMAP application processors.

Roman's current research interests include power-efficient heterogeneous computing and scalable software frameworks for computer vision on embedded systems.

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JonasP942 Posted Jul 3, 2014

The technology building blocks to enable varying degrees of driving autonomy are already here. Broad adoption of autonomous vehicles requires innovations in all aspects of the solution from sensors, sensor processing to fusion algorithms and architectures, to communications systems.

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