{"id":48300,"date":"2026-04-10T13:47:44","date_gmt":"2026-04-10T11:47:44","guid":{"rendered":"https:\/\/genesys-offenburg.de\/?post_type=smart-docs&p=48300"},"modified":"2026-04-10T13:56:33","modified_gmt":"2026-04-10T11:56:33","slug":"dynamic-stability-enhancement-dse","status":"publish","type":"smart-docs","link":"https:\/\/genesys-offenburg.de\/en\/support\/technical-background\/adma-kalman-filter\/dynamic-stability-enhancement-dse\/","title":{"rendered":"Dynamic Stability Enhancement (DSE)"},"content":{"rendered":"\n

Next\u2011Level Precision Through Smarter Vehicle Dynamics<\/h2>\n\n\n\n

By enhancing the ADMA Kalman Filter with Dynamic Stability Enhancement <\/strong>(DSE), we are setting another milestone in GNSS\/INS fusion technology. Thanks to the intelligent combination of an extended vehicle model and a dynamically adaptive filter design, ADMA systems will achieve significantly more robust performance in the future – especially in challenging GNSS environments.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Up to 25\u201350% fewer outage errors after just 60 seconds<\/h2>\n\n\n\n
\n
\n
\"\"<\/figure>\n<\/div>\n\n\n\n
\n

Thanks to the integrated vehicle model, the Kalman filter now understands driving behavior with even greater precision. This results in a noticeable improvement in estimation quality during brief GNSS signal outages.<\/p>\n\n\n\n

After just 60 seconds, there is a 25\u201350% reduction in positional outage errors – a significant advantage for all applications that require high availability and stability.<\/p>\n<\/div>\n<\/div>\n\n\n\n

More stable side slip angle (SSA) for challenging driving maneuvers<\/h2>\n\n\n\n
\n
\n
\"\"<\/figure>\n<\/div>\n\n\n\n
\n

The new filter intelligence ensures a significantly more stable side-slip angle (SSA) estimate. The system detects dynamic transitions – acceleration, braking, cornering, micro-maneuvers – earlier and more accurately.<\/p>\n\n\n\n

The result: more precise modeling of vehicle lateral motion, less drift in the lateral angle, and more consistent SSA estimates even under challenging GNSS conditions.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Optimized for modern ADAS and vehicle dynamics applications<\/h2>\n\n\n\n

To deliver reliable results in demanding test environments – from highly dynamic maneuvers to GNSS-critical situations – the new dynamic Kalman filter has been specifically designed to meet the requirements of modern ADAS and vehicle dynamics testing. In practice, users benefit from:<\/p>\n\n\n\n

    \n
  • more stable trajectories even during brief GNSS signal loss<\/li>\n\n\n\n
  • reduced drift in urban canyons and low-speed scenarios<\/li>\n\n\n\n
  • greater repeatability of tests in ADAS and vehicle dynamics procedures<\/li>\n<\/ul>\n\n\n\n