Let’s talk about a promising new algorithm and a more convenient workflow for many developers in this newsletter.
To detect both static and dynamic objects while properly distinguishing between them is a challenge for automated driving and data fusion algorithms. Established algorithms like Kalman filters and occupancy grids are suitable for many purposes. However, they are designed to either detect dynamic objects (Kalman filter) or static objects (occupancy grid), respectively. We propose the dynamic grid as an approach to combine both tasks in one algorithm.
To further enhance the integration of BASELABS Create into relevant middleware products, we will introduce an even better support for RTMaps with the next release.
Enjoy developing! We look forward to supporting your endeavors in prototyping and series projects. Please contact us for your requirements and to share your experiences with our products.
Your BASELABS team