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.
Author Archives: Anyverse
Synthetic data to train and validate in-cabin monitoring systems
Why should you seriously consider synthetic data to train and validate in-cabin monitoring systems? What are the advantages of synthetic data versus real-world data to train these systems? And why are many DMS/OMS developers already implementing synthetic data in their data generation pipelines?
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.
In-cabin monitoring use cases and data needs
There are several in-cabin monitoring use cases, and likewise, they have different data needs, hence, different data challenges that you need to overcome if you want to successfully train the deep learning models behind the systems.
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.
The 2022 Stanford AI Index Report Takeaways
Every year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) puts out its AI Index, a massive collection of data and information that tries to sum up the current state of artificial intelligence.
AutoSens Detroit 2022 – Save the date! | Meet Anyverse
Save the date! This May 10-12, 2022, Anyverse, will be at the AutoSens in Detroit! AutoSens is the world’s foremost meeting of automotive engineers working to improve automotive imaging and vehicle perception for production vehicles.
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.
Acquiring data to develop in-cabin monitoring systems – The challenges
Whether it’s DMS, OMS, or any other interior camera system, acquiring data to develop in-cabin monitoring systems is challenging. But… Why is that? Why is acquiring real-world data particularly hard for the in-cabin monitoring use case?
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.