The Mapless Autonomy Platform is under constant improvement – the feedback for this are the learnings we generate when being out in the real world.
You have a well-functioning autonomy system but have challenges with reliability in edge-cases? Integrate a driveblocks perception module as a parallel pipeline to your in-house solution, e.g., using LIDAR or RADAR sensors and combine the results with a sensor fusion module.
Your sensor generates unprecedented level of detail when scanning the environment and vehicle networks struggle to cope with the generated data amount? Integrate a set of driveblocks perception modules to preprocess the data and enable customers to use object list, drivable space and flow-based odometry interfaces.
Your fleet consists of multiple different vehicles with varying geometries and tasks? The Mapless Autonomy Platform allows you to leverage a pre-configured perception and sensor-fusion solution with continuous safety, security, and feature updates. The open-architecture design lets you customize modules while relying on a solid and safe foundation.
Technology start-up driveblocks, a software specialist for fully autonomous driving of commercial vehicles, has closed a 2.2 million euro seed round led by Rethink Ventures and Bayern Kapital. Angel investor Joachim Drees (former CEO of MAN SE and MAN Truck & Bus SE) and existing investor Friedrich & Wagner Holding also provided fresh capital. The founding team intends to use the funds primarily for the further development of driveblocks’ core technology: the Mapless Autonomy Platform.
Innovusion, a global frontrunner in high precision and resolution LiDAR sensor technology, and driveblocks, a pioneer in AI-based perception and sensor-fusion for mapless autonomous driving, have joined forces. The objective: To speed up commercial vehicle automation by providing a robust and integrated solution designed for a diverse range of environments, including agriculture, container yards, and highways.
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.