Key challenges for the future of advanced driver assistance systems (ADAS)

Advanced driver assistance systems (ADAS) is the fastest growing technology segment in the automotive market, worth an estimated $24 billion in 2018 and predicted to reach $92 billion by 2025.

ADAS capabilities – such as lane departure warning, blind spot detection and emergency braking – have achieved widespread market penetration, significantly increasing driver safety and improving the driving experience. Meanwhile, more advanced semi-autonomous ADAS (S-ADAS) technologies are paving the way for self-driving vehicles in the future.

Artificial Intelligence (AI) is one of the most critical components in ADAS, vastly outperforming traditional software techniques in real-time perception, prediction and decision-making tasks. As future ADAS systems tackle more complex self-driving scenarios, even more AI content will be required. However, the current approach to S-ADAS architecture makes it prohibitively expensive for vehicles in the mid-range to adopt.

In this whitepaper, we examine the commercial and technological challenges to wider adoption of ADAS and set out our roadmap to deliver S-ADAS features into the mid-range vehicle segment.

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AI-in-the-driving-seat.pdf
Author
Thomas Carmody
Consultant

Thomas is an experienced marketing and business development manager with over 15 years’ experience in short range wireless communications and a track record of introducing successful hardware and software products to market and driving continuous business growth.