EasyMile's software is evolving autonomous technology with its ability to be fully driverless in some environments. Vehicles running at this Level 4 of autonomous driving with our technology can handle the majority of driving situations independently.
We use the machine learning technique deep learning to teach the vehicle to learn by example without a human attendant on board to achieve this. This means behaviors like recognizing a stop sign, or knowing the difference between a pedestrian or a lamppost.
Our technology interacts with all kinds of next-generation radars, cameras, and lidar sensors as part of this process. It crunches data from these in real-time for a 360-degree view of the vehicles' surroundings.
Robust and scalable for any wheels
EasyMile has developed a complete technology stack for autonomous vehicles.
Our vehicle-agnostic software makes us the partner of choice for global Original Equipment Manufacturers (OEMs). As a fabless company, we develop autonomous vehicle solutions that tackle identified use-cases very precisely using our common-core, unique technology.
We use robotics, computer vision, and vehicle dynamics in a robust, scalable methodology with continuous integration and state-of-the-art simulation scenarios. With a high number of PhD qualified experts across our teams, we are also a leader in autonomous software research and development.
Together we are building the road ahead and inventing solutions to challenges never met before.
How it works
Autonomous vehicles use a high level of information to operate safely. This includes a range of sensors, data-recording and intelligent software.
Safety by design
Safety and risk management are at the heart of everything EasyMile does, particularly at each stage of technology development.
EZFleet is the most-used fleet management system for autonomous vehicles. Flexible and modular, it is your fleet’s electronic brain.