Webinar: Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform

The automotive market is seeing accelerated growth and rapid adoption of vision applications that will lead the way to autonomous vehicles. With the complexity of these systems, Tier-1 suppliers, OEMs, and the entire automotive industry are utilizing artificial intelligence and deep learning algorithms to identify objects, determine free space for vehicles and plan the vehicle movement. As companies explore these deep learning algorithms and shift from R&D labs to the realization and deployment of low power embedded solutions, it is important to have a sound foundation in the form of an efficient HW and SW platform that is optimized for CNN workloads and other deep learning approaches.

Join Ceva and AdasWorks experts to hear about:

  • Challenges of ADAS and vision based autonomous driving
  • Ceva’s 5th generation deep learning embedded platform based on the Ceva-XM6 vision processor
  • Implementing low power machine vision solutions using the Ceva Deep Neural Network (CDNN) toolkit
  • Free space detection utilizing AdasWorks drive 2.0 SW implemented on Ceva’s imaging and vision platform

Target Audience

Computer vision engineers, deep learning application designers, project managers, marketing experts and others interested in embedded vision, machine learning, and autonomous driving.


Liran Bar
Former Director of Product Marketing, Imaging & Vision, Ceva
Jeff VanWashenova
Former Director of Automotive Segment Marketing, Ceva
Arpad Takacs
Outreach Scientist, AdasWorks