Holistic real-time capable environment model based on camera and V2V
Our project engineer Martin Däumler recently presented the multiple object tracking (MOT) application which has been developed in the course of the InDrive project. The application consists of a modular structure which includes a V2V-tracker, a GNSS-based localization and an onboard tracker. By means of track transformation and track-to-track-fusion, a consistent track list is available as an output for the driving function. The application can be used with live and recorded measurement data as well as simulated data. The BASELABS contribution also includes the validation of the data fusion system. The presentation was part of the fifth annual ConnecteDriver & Smart Mobility conference which took place on the 7th-8th February in Brussels, Belgium. This was a possibility for us to be present alongside participants like Bosch, BMW and Mazda and talk about our offering in data fusion development from prototyping to series code. In the panel from InDrive - EGNSS Receiver for High Integrity Applications - Martin talked about the importance of data fusion for object tracking and joint perception by multiple sensors.
In the InDrive project we and our project partners used our product BASELABS Create.
Over 50 expert speakers and over 200 attendees in the field of automotive, mobile and aftermarket electronics companies and smart mobility operators have attended the event. InDrive has received funding from the European GNSS Agency under the European Union's Horizon 2020 research and innovation programme under grant agreement No 687366. InDrive develops innovative but still close-to-market solutions for semi-automatic driving.
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As active contributors to research and the data fusion community, we frequently publish papers with regards to sensor fusion. The paper can be downloaded free of charge.
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