The Group Hyundai increasingly integrates 3D technologies in its services. In the April issue of 3D ADEPT Mag, we were explaining in a case study how the group improved its production process using Materialise’ software. Today, Hyundai Mobis, an OEM and sister company of Hyundai, is taking advantage of 3D images and deep learning to drastically improve the accuracy of the autonomous driving sensor, it is currently developing.

Autonomous driving test

This technology will enable to conduct autonomous driving tests in the 3D virtual environment for various scenarios used in computer games. As it is possible to create the desired environment for testing without being limited by numerous constraints in real life, the performance of the cameras can be enhanced.

The Korea-based automotive supplier aims to improve the object recognition accuracy of the cameras used in autonomous driving vehicles. In order to achieve this, the company calls for the service of Indian software company Tata Elxsi that provides solutions optimized for ICT (Information and Communications Technology) sectors.

All constraints including bad weather and busy downtown streets were considered during the test. The test demonstrated the importance of the camera’s recognition accuracy, the core sensor, to safe autonomous driving.

The virtual driving environment, which Hyundai Mobis is seeking to introduce to autonomous driving testing, is made by using the imaging software for developing 3D games. If high-definition 3D images are used, it is possible to make various driving scenarios, such as night roads on a rainy day, congested downtown area, puddles and road construction sites”, explained the company.

If the cameras for autonomous driving cars are tested in these various virtual environments, the recognition performance can be improved so that it is possible to correctly classify a wide range of objects including vehicles, pedestrians, traffic light infrastructure and road markings under any harsh condition.

In addition to testing autonomous driving test vehicles all around the world and collecting information on various climate, unusual terrain and road conditions, the company will be able to use mock environments similar to those used in computer games to verify the performance of sensors in the desired manner anytime and anywhere, gaining the upper hand on the competition.

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