Advanced driver assistance systems (ADAS) is the fastest growing technology segment in the automotive market and paving the way for self-driving vehicles. AI is one of the most critical components in ADAS, vastly outperforming traditional software techniques in real-time perception, prediction and decision-making.

As future ADAS tackle more complex scenarios, more advanced AI will be required. However, the current approach to semi-autonomous ADAS architecture makes it prohibitively expensive for vehicles in the mid-range to adopt.

In this webinar we shared in-depth insights from our recent commercial work in this area and explored:

  • The commercial and technological challenges to wider ADAS adoption
  • How recent advances in deep learning are radically enhancing ADAS
  • Emerging techniques in ultra-low power and ultra-low cost compute at the edge
  • Strategies to deliver semi-autonomous ADAS into the mid-range vehicle segment

Speakers

  • Oli Qirko, Head of Industrial, Consumer & Energy, Cambridge Consultants
  • Thomas Carmody, Head of Transport and Infrastructure, Cambridge Consultants

Watch the webinar

Author
Thomas Carmody
Head of Transport & Infrastructure

Thomas works with automotive manufacturers and technology providers to develop transformative products and services, leveraging the company’s unique combination of world-leading expertise in silicon, sensing, connectivity, AI. 

 

With over 16 years’ experience in the automotive market, Thomas has led the global development of breakthrough automotive technologies. This includes the world’s first fully AEC-Q100 qualified Bluetooth, BLE and Wi-Fi semiconductor devices, which Thomas brought to market in his previous role as Head of Automotive Connectivity at CSR - later acquired by Qualcomm.  

 

Contact Thomas on LinkedIn or email