Derik Schroeter
14Patents
2h-index
10Co-inventors
43Inventor score
Filing activity: Aug 29, 2014 → Jul 19, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10267634B2 | Distributed processing of pose graphs for generating high definition maps for navigating autonomous vehicles | Physics | 4 | Active |
| US11391578B2 | Using measure of constrainedness in high definition maps for localization of vehicles | Physics | 2 | Active |
| US11151394B2 | Identifying dynamic objects in a point cloud | Physics | 2 | Active |
| US11598876B2 | Segmenting ground points from non-ground points to assist with localization of autonomous vehicles | Performing Operations; Transporting | 1 | Active |
| US9443312B2 | Line parametric object estimation | Physics | 1 | Active |
| US11353589B2 | Iterative closest point process based on lidar with integrated motion estimation for high definition maps | Physics | 1 | Active |
| US11460580B2 | Nearest neighbor search using compressed octrees representing high definition maps for autonomous vehicles | Physics | 1 | Active |
| US11867515B2 | Using measure of constrainedness in high definition maps for localization of vehicles | Physics | 0 | Active |
| US11367208B2 | Image-based keypoint generation | Physics | 0 | Active |
| US11340082B2 | Determining localization confidence of vehicles based on convergence ranges | Physics | 0 | Active |
| US12260574B2 | Image-based keypoint generation | Physics | 0 | Active |
| US11514682B2 | Determining weights of points of a point cloud based on geometric features | Physics | 0 | Active |
| US11675083B2 | Removal of ephemeral points from point cloud of a high-definition map for navigating autonomous vehicles | Performing Operations; Transporting | 0 | Active |
| US11927449B2 | Using map-based constraints for determining vehicle state | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.