Pioneer of MLF Approach,
Realising Self-Driving Progressively.
All developed for mass deployment and applied to a dozen of models, with the capacity of self-improvement by mass real-world data, finally to realize autonomous driving in complex scenarios.
Machine Learning First
MLF is a new approach of autonomous driving, based on new technical architecture and driven by massive data. It provides excellent scalability and economical efficiency to handle new scenarios and solve the long-tail challenge. Utilizing all sensor inputs, MLF can generate a safe, proper and comfortable route for autonomous vehicle in complex realistic environment, where man-made rules cannot describe everything and react to all situations.
MaxView
Perception
Following MLF, Nullmax’s visual perception technology contains all of software and algorithms required for autonomous driving perception. Some modules offer top-level performance in industry, including Object Detection, Lane Detection, Multi-Object Tracking, Fusion, Prediction, Mapping & Localization (V-SLAM), etc.
MaxFlow
Data System
Nullmax’s highly-efficient data system operates with our fleet of mass-production cars, and continuously collect massive real-world data to find out valuable parts for autonomous driving updates. In this faster and more low-cost way, our AI algorithms can keep evolving and learning efficiently.
MaxPlatform Full-Stack Software for Car
MaxPlatform contains the application layer MaxStack (perception, planning & control) and the middleware MaxOS. On MaxPlatform, Nullmax can build a variety of solutions for different configurations and functions quickly.
- Developed completely in-house, with top-level performance.
- Decoupled and extensible system, adaptable to various configurations and platforms.
- Advanced architecture for autonomous driving at all levels.
- Complete toolchain from development to testing.
- Support all kinds of scenarios and flexible customization.
- Including perception, planning and control, with algorithm and engineering modules.
- Top visual perception capability & multi-sensor fusion system.
- New generation of architecture with more outstanding performance.
- Modular design, flexible and convenient to customize.
- Developed for autonomous driving, with characteristics of high-reliability, high-performance and high-concurrency.
- Plug-in design, faster and more efficient to iterate software.
- Ported on mainstream computing platforms, support multiple operating systems.
- Optimized for popular chips.
MaxCloud Data System on Cloud
MaxCloud contains modules such as visualization and analysis, data filter and annotation, model training and evaluation. It extracts experience and knowledge from oceans of real-world data to feed autonomous driving system in a continuous and efficient pattern.