Synthetic data to develop a trustworthy autonomous driving system | Chapter 6

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

Synthetic data to develop a trustworthy autonomous driving system | Chapter 5

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

Synthetic data to develop a trustworthy autonomous driving system | Chapter 4

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

Synthetic data to develop a trustworthy autonomous driving system | Chapter 3

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

Synthetic data to develop a trustworthy autonomous driving system | Chapter 2

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

A look into the future of data for training and validating autonomous vehicles

If we look back, it’s amazing how many autonomous vehicles and ADAS systems have been developed with real-world data (and will probably continue to be used in combination with more accurate synthetic data), but real-world data limitations are becoming more and more evident, to the point of asking… Will future perception systems need real-world data for training at all?

Can you use synthetic data to develop a trustworthy autonomous driving system? | A Project Logbook

The University of Warwick and Anyverse have just started what we hope will be a long partnership in the field of autonomous driving perception systems. Our first joint research project objective is to compare the performance and results of an autonomous driving AI model when training and validating it with real-world data and highly accurate synthetic data.

Let's talk about synthetic data!

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