Robust Localization: Position Estimation under Difficult Conditions

Summary

The implementation of a robust localization solution that uses different, complementary sensors depending on the respective environmental conditions will be demonstrated live. As there are only limited environmental influences on site, the performance of the localization is also illustrated using video sequences under a variety of conditions. The calculated position is seamlessly integrated into the overall system of the digital live twin and forms an important basis for downstream functions.

State of the Art

Depending on the environmental conditions, different localization methods such as GNSS/IMU, LiDAR or visual localization are suitable to varying degrees. However, the aim is to create a holistic solution that guarantees robust and reliable localization even under changing conditions.

Technological Innovations

The developed concept enables precise and robust localization under a wide range of environmental conditions through the intelligent fusion of complementary sensor data. At the same time, a realistic estimate of the position uncertainty is provided, which significantly increases the trustworthiness and reliability of the localization – especially in complex or changeable scenarios.