When it comes to next-generation ADAS innovations and higher levels of vehicle automation, an almost infinite number of images and point-cloud frames must be annotated in a way that is fast, affordable, and at scale. Time, cost, and quality factor into this process and are among the primary challenges when realizing ADAS and automated driving functions that require validation via high volumes of annotated data.

Juergen Daunis, CEO of understand.ai, provides a more in-depth look at these challenges, how AI and machine learning play a role, and the importance of a CI/CD toolchain.

More Resources

What is CI/CD? Continuous integration and continuous delivery explained via Isaac Sacolick for InfoWorld: https://tinyurl.com/mrdua5dj

2024 ICA Summit: https://ica-summit.com/

dSPACE Strengthens AI Expertise by Acquiring understand.ai: https://tinyurl.com/4c5nhtvb

Follow AutoVision News on LinkedIn: https://tinyurl.com/49jyrd3b

Automation as a Key Enabler ft. Juergen Daunis of understand.ai