If you are an OEM, or simply you are involved in any of the automotive interior sensing systems development stages, surely you are familiar with the Euro NCAP* requirements to assess the adequation and safety of the new in-cabin monitoring systems. And if you are not, do not worry, because we will break them down throughout this article.
The self-driving market needs to reach the level of development where a driverless vehicle is 100% safe (and perceived as such by society) and reliable to operate like another manned vehicle in the vastness of the real world. In order to achieve this, one of the biggest challenges must be appropriately dealt with: the performance of autonomous driving in adverse weather conditions. How are you going to gather the data to achieve this?
SHARE Just like on a spooky Halloween night, anything sudden and unexpected could happen during a car trip… So better make sure your in-cabin monitoring system is well trained right? Driver monitoring, occupant monitoring, autonomous driving, and other autonomous deep learning-based visual systems… are critical use cases in which the safety of the occupants is …
Trick or treat, don’t let your in-cabin monitoring system AI be tricked! Read More »
Anyverse announced today its collaboration with Cron AI, the cutting-edge 3D data perception platform for autonomous machines. Cron AI selected Anyverse hyperspectral synthetic data generation platform to provide the most accurate LiDAR synthetic data and ensure consistent neural network training on all possible corner cases that real-world data may have missed.
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 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 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 this insights series, we will focus on Anyverse Sensor Simulation and how to accelerate autonomous systems deployment with sensor-specific synthetic data.
In this insights series, we will focus on Anyverse Sensor Simulation and how to accelerate autonomous systems deployment with sensor-specific synthetic data.
In this insights series, we will focus on Anyverse Sensor Simulation and how to accelerate autonomous systems deployment with sensor-specific synthetic data.
