Unique Technical Path, Different Focus
Different from the conventional roadmap of autonomous driving companies, QCraft is taking a unique way to make self-driving cars fully autonomous. Using the large-scale intelligent simulation system and self-learning framework for vehicle’s decision-making and planning, QCraft can immensely reduce the test costs, significantly improve the development efficiency, and guarantee the solution scalability.
Large-scale Intelligent Simulation System
We can reshape the corner case solution in the simulation environment. Based on the existing real drive data, the simulation system can also generate a huge amount of real scenario data.
Self-learning Framework for Decision-making and Planning
Our framework can learn from various challenging situations in the simulation scenarios, and seek optimal motion planning and decision-making to ensure the safety and comfort of the driving experience.
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We can reshape the corner case solution in the simulation environment. Based on the existing real drive data, the simulation system can also generate a huge amount of real scenario data.
Large-scale Intelligent Simulation System
Self-learning Framework for Decision-making and Planning
Our framework can learn from various challenging situations in the simulation scenarios, and seek optimal motion planning and decision-making to ensure the safety and comfort of the driving experience.
Sensor Fusion and Synchronization 
Our technology of sensor fusion and synchronization ensures better and faster object detection while we utilize the capabilities of different types of sensors and improve the robustness of the system. 
Sensor Fusion and Synchronization
Our technology of sensor fusion and synchronization ensures better and faster object detection while we utilize the capabilities of different types of sensors and improve the robustness of the system.
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