The Mapless Autonomy Platform leverages transformer neural networks in conjunction with a geometrically-interpretable sensor-fusion to combine the advantages of state-of-the-art deep learning approaches with explainable sensor-fusion.

The Mapless Autonomy Software Platform receives several feature updates, mainly focused on enhanced the object detection capabilities and data management workflow for deep learning applications.

The Mapless Autonomy Platform is updated with various new features and improvements with a large focus on perception and sensor-fusion components. These additions can be applied within highway as well as off-road scenarios and boost the sensor-based environment model capabilities significantly.

The driveblocks mapless autonomy stack can be combined with various software components of the ROS 2 ecosystem. Learn more about this integration!

driveblocks releases the next version of its modular Mapless Autonomy Platform with algorithms for highly automated and autonomous driving of commercial vehicles at CES® in Las Vegas. New features have proven their capabilities already within real-world tests on German highways.

Learn why the minimization of end-to-end latency is important to achieve safe autonomous driving capabilities for commercial vehicles and what is done in the driveblocks mapless autonomy stack to achieve this.