A webinar exploring how artificial intelligence (AI) and machine learning will affect the development and performance of autonomous vehicles will be held on Thursday 14 December.
Speakers will include Luca DeAmbroggi, senior principal analyst, automotive electronics and semiconductors, IHS Markit, and Gordon Cooper, product marketing manager, Synopsys.
Future advanced driver-assistance systems and fully autonomous driving systems are expected to apply AI techniques to achieve greater accuracy and better predictions than systems using traditional vision and detection algorithms. In doing so, they are expected to contribute to an increase in the average value of electronic systems in each care to more than $1600 by 2022—up almost 35% in less than 10 years.
This webinar will discuss how automotive OEMs and chip designers can use AI, deep learning, and convolutional neural networks to detect multiple objects simultaneously and enable faster response rates at greater power efficiency than traditional techniques, while reducing development times. The webinar will also review hardware and software requirements and safety concerns in automotive systems.
The key discussion topics will include:
- Computer vision vs deep learning: the advantages of deep learning for complex environments
- Implementation options to balance the cost, power, area, and performance of autonomous vehicle systems, and techniques to future-proof them
- How changes in camera resolution are driving a need for scalable, computationally efficient solutions
- Application examples – front/rear cameras, driver-facing cameras, and automotive radar
- The webinar should appeal to automotive OEMs and equipment suppliers, telecom service providers, financial analysts, and media.
Webinar attendees will also receive a link to download a special report by Luca DeAmbroggi.
The webinar is on Thursday 14 December 2017 at 8:00AM PT / 11:00AM ET / 16:00 UTC. It will last for 45 minutes, plus time for Q&A.
Register fro the webinar here.