Fully Automated Deployment:

Leveraging cutting-edge machine learning algorithms, our fully automated deployment ensures high accuracy in data annotation, streamlining the process for seamless integration into your workflow.

Semi-Automated Deployment:

Integrated with a meticulous manual review process, our semi-automated deployment guarantees 100% accuracy in annotations. This hybrid approach combines the efficiency of automation with human oversight, delivering superior results for your projects.

Dynamic Environment Fusion (DEF) – 3D:

This module focuses on capturing and processing dynamic elements in the environment, such as vehicles like cars and buses. It includes attributes like position, velocity, and other relevant dynamics vital for real-time decision-making.

Road Mode Generation (RMG) – 3D:

RMG is dedicated to generating a detailed representation of road-related features such as road boundaries, lanes, and lane markings. This module plays a critical role in ensuring accurate navigation and lane-keeping capabilities.

Traffic Information (TI) – 3D:

Covering a wide spectrum of traffic-related elements, TI encompasses the detection and interpretation of traffic signs and traffic lights. This information is pivotal for autonomous vehicles to understand and comply with traffic regulations.

Static Environment Fusion (SEF) – 3D:

SEF focuses on static infrastructure within the environment, including barriers, poles, traffic cones, and other immobile objects. This module aids in creating a comprehensive map of the surroundings for safe and efficient navigation.