Driveblocks: Revolutionizing Industrial Autonomy with Mapless AI

Driveblocks is a cutting-edge Physical AI platform engineered for industrial autonomy in agriculture, construction, mining, off-road logistics, and defense. Built by former winners of the Indy Autonomous Challenge, it delivers a modular, hardware-agnostic software framework that enables real-time, all-weather perception through advanced sensor fusion of LIDAR and cameras. Unlike traditional systems, Driveblocks operates without reliance on pre-scanned HD maps, making it ideal for unstructured and dynamic environments. Its Mapless Autonomy Platform combines Transformer Neural Networks with robust, reusable microservices for safe navigation, drivable space detection, and motion estimation. The Perception Development Kit accelerates prototyping by allowing rapid deployment in just days, supporting diverse vehicle types and operating conditions. With pre-trained foundation models, virtual edge-case simulation, and compliance with ISO 26262 and ISO/PAS 21448 safety standards, Driveblocks ensures reliability and scalability. Designed for embedded deployment with low energy consumption, it empowers vehicle manufacturers and industrial operators to reduce AI development costs by an order of magnitude.

Key Features:

• Mapless Autonomy Platform: Enables navigation using real-time perception instead of HD maps, ideal for unstructured and dynamic environments.
• Sensor Fusion: Combines data from LIDAR, RADAR, and cameras from multiple manufacturers for robust, all-weather perception.
• Drivable Space Detection: Identifies safe driving areas in real time using advanced 3D and 2D analysis.
• Flow-Based Odometry: Provides accurate motion estimation without GPS dependency.
• Perception Development Kit: A ready-to-use hardware-software bundle with 2.5MP camera and long-range LIDAR for rapid prototyping.
• Pre-Trained Foundation Models: Trained on diverse datasets from agriculture, construction, mining, and on-road scenes for immediate deployment.
• Modular Microservice Architecture: Offers reusable, plug-and-play components for perception, sensor fusion, and integration with existing autonomy stacks.
• Hardware-Agnostic Deployment: Compatible with x86, ARM, and classical microcontrollers for broad flexibility.
• Real-Time Performance & Virtual Simulation: Rigorous testing via virtual environments and edge-case generation ensures safety and reliability.
• Autonomous Overtakes at 265 km/h: Demonstrated high-speed autonomy in real-world trials.
• GNSS-Resilient Operation: Functions reliably in tunnels and low-light conditions where GPS signals are weak or absent.
• Road Model Generation: Creates lanelet-style local maps from 2D lane inputs and multiple camera feeds for navigation and planning.
• Work Process Logic Modules: Includes Leader & Follower Logic, Emergency Braking Logic, and GNSS/route-based autonomy integration.

Pricing: Driveblocks offers its Mapless Autonomy Platform and Perception Development Kit through a flexible licensing model, with options for individual modules or full system solutions. While pricing details are not publicly listed, the platform is accessible via a sales inquiry process, suggesting a freemium or trial-based entry point for early adopters and partners.

Conclusion: Driveblocks stands at the forefront of industrial autonomy, delivering a powerful, scalable, and cost-efficient AI solution that redefines how machines perceive and navigate complex real-world environments—without maps, without compromise.