White Paper

Data Annotation For Autonomous Vehicle Development

Car makers, software companies and others spent more than $54 billion on autonomous vehicle development in 2019. Much of the near-term investment centers on the leap from partial driving automation to conditional driving automation where cars begin to actively see the world around them and begin to “think” for themselves. This progression happens when a system of onboard sensors and computers is trained using thousands of hours of video broken down into its component parts of different objects, analyzed, categorized, and then fed into algorithms.

Read the white paper to:

  • Understand the process of training autonomous vehicle algorithms
  • Differentiate between the types of data that go into self-driving cars and their complexity
  • Look into the Data Annotation Toolbox and learn more about its components
  • Learn how iMerit can power your autonomous vehicle deployment

First 300 words


If you want to understand the rationale for autonomous vehicles (AVs), pay attention to that number. That’s how many people the World Health Organization says die every year from automobile crashes, with a person at the wheel. In fact, road traffic accidents are the leading cause of deaths for people aged 5-29.

Fully 90 percent of the roughly 30,000 traffic related deaths in the United States each year are, according to the Automobile Association of America (AAA), the result of (human) driver error.

Drastically reducing that statistic represents arguably the most compelling grand challenge of 21st Century transportation. On the strength of some early successes with basic AV building blocks, car makers are investing tens of billions of dollars annually to develop true autonomous vehicles, with no human needed at the wheel. Globally, car makers, software companies and others spent more than $54 billion on AV development in 2019, and market researchers expect that to grow more than tenfold to $556 billion by 2026. By that time, according to ABI Research, more than eight million cars with some level of autonomous vehicle technology will be on the road.

In fact, the race to a truly autonomous vehicle has expanded the world of car and car component manufacturers through revealing actions. At the 2020 International Consumer Electronics Show, for example, Sony surprised attendees and the world’s technology press with its first concept car – an electronic vehicle with 33 sensors inside and out. While the car was designed for human drivers, the sensor array and always-on connectivity suggested a milestone on the way towards a network-controlled AV.

It’s no wonder that the sector has attracted many of the global leaders in artificial intelligence, software development and device engineering. Among those developing AI software and/or other aspects for autonomous vehicles…