Core Technology

Leader in autonomous vehicle, road and AI cloud technology

The world's first digital road station to support L4 autonomous driving

Our technology boasts the world’s first Vehicle-Road-AI Cloud Integrated systems with digitalization capabilities, empowering L4 autonomous driving.

Proprietary full-stack software and hardware for autonomous vehicles

The core software and hardware interconnected technologies include autonoma Brain, Chassis Domain, Autonomous Driving Domain, Intelligent Cockpit Domain and autonoma’s L4 autonomous driving software system.

AI-Cloud system leads the way in smart transportation development

Integrate, compute and process all traffic data at extremely low latency (<100 milliseconds), hence, in real-time.

Generated data assets are proven to be of high commercial value.

Perception

In order to obtain the highest safety standard, autonoma adopts a multi-sensor fusion approach that utilizes LiDAR, Radar and HD Cameras.

The autonoma “Brain” is the vehicle’s onboard computer which combines the CPU and GPUs, taking information provided from all the sensors in real-time, identifying different objects and plans a safe route towards target destination.

CPU = Manage every input and output of a computer + Executing instructions for programs.

GPU = Process large amounts of data (e.g perception), graphics card/video card that provides images and video.

Simulation & Testing

Simulation and testing is the crux of everything we do. Simulation provides the ability to virtually drive tens of millions of kilometers daily using an array of real-world scenarios and autonomous driving data.

This standardized procedure validates that autonoma meets safety readiness standards, follows all applicable laws and regulations for testing and final implementation.

As of Jan 2024 our technology achieved 17 million kilometers of simulation testing.

HD Map & Localization

Every autonomous vehicle within our system utilizes our proprietary 3D HD digital maps, empowering digitalization, vehicle monitoring and knowledge of the environment.

Planning & Intelligent Control

After the vehicle fully understands its surrounding environment, the vehicle will fuse deep learning and machine learning capabilities to plan and control best action and route to take, directing its movement based on the behavior of nearby objects in real-time.

Prediction

Our vehicles predict things before they even happen – Using science to predict the future with speed and accuracy.

Avatar

Provide remote control assistance in complex scenarios to ensure safe and efficient operations of driverless operations.

  • Provide avatar parallel driving capacity, allowing human to take over wheel remotely in case of on-the-ground AV-related technical difficulties
  • A single avatar can monitor and take-over six autonomous vehicles, reducing operating costs
  • Allow for troubleshooting operations, emergency plan, management and seamless execution

Command & Dispatch Center

Overall AV operations are displayed on large-screen, providing clear visual representation of real-time and real-life scenario application of Vehicle-Road-AI cloud integrated systems in focused road.

  • View, control and operate all deployed vehicles via digital twin
  • Real-time task scheduling to complete specified instructions at optimal time and efficiency
  • Troubleshooting operations, emergency plan, management and seamless execution

AI Cloud

Empowers real-time digitalization of all traffic participants, allowing interested parties ability to monitor and analyze operations and provide smarter traffic management which improves overall urban transport service.

Digitalization

  • Aggregating all data generated from vehicle, road and cloud to realize 1:1 restoration of traffic participating elements.
  • All data generated from Intelligent Vehicle and smart road sensors digitalized in real-time, realizing collaborative fleet control.
  • Bird’s eye view of entire digital ecosystem helps identify traffic congestion (specific time and location) and improve operational efficiency.
Questions?

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