Tilman Wekel
16Patents
3h-index
24Co-inventors
52Inventor score
Filing activity: Jun 27, 2017 → Oct 24, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11532168B2 | Multi-view deep neural network for LiDAR perception | Physics | 5 | Active |
| US11885907B2 | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications | Physics | 4 | Active |
| US12051206B2 | Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications | Physics | 3 | Active |
| US11531088B2 | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications | Physics | 2 | Active |
| US11906660B2 | Object detection and classification using LiDAR range images for autonomous machine applications | Physics | 1 | Active |
| US11593691B2 | Information retrieval apparatus | Physics | 0 | Active |
| US11960026B2 | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications | General | 0 | Revoked |
| US12072443B2 | Segmentation of lidar range images | Physics | 0 | Active |
| US12399253B2 | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications | Physics | 0 | Active |
| US11617561B2 | Ultrasound imaging system and method | Physics | 0 | Active |
| US12050285B2 | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications | Physics | 0 | Active |
| US12080078B2 | Multi-view deep neural network for LiDAR perception | Physics | 0 | Active |
| US11769599B2 | Evaluation of decision tree using ontology | Physics | 0 | Active |
| US12164059B2 | Top-down object detection from LiDAR point clouds | Physics | 0 | Active |
| US11583258B2 | Ultrasound processing unit and method, and imaging system | Physics | 0 | Active |
| US11915493B2 | Multi-view deep neural network for LiDAR perception | General | 0 | Revoked |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.