Pioneer of Progressive AD Route With Full Stack Ability
Approach of Machine Learning First Enable Mass-Deployed Self-Driving
New Generation of AI Algorithms For the Ultimate Goal of AI-First Mobility
Leading Technolog of Visual Perception And Multi-Sensor Fusion
Technology

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.
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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.
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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.
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BEV-AI
One SW Platform

Nullmax build the One SW Platform-BEV-AI Architecture. It supports all solutions and all products, supports perception of driving and parking, supports any sensor configuration.
The BEV-AI Architecture meeting diverse customer needs, has ultra-long sensing distance, support integrated mass-Production solution. And it optimized for onboard deployment, provide better support for easy deployment and continuous upgrading.

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.
  • MaxStack
  • MaxOS
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  • 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.
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  • 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.
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  • 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.
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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.