Inventor · Lynnwood, WA, US

Joachim Pehserl

21Patents
3h-index
34Co-inventors
59Inventor score

Filing activity: Jan 16, 2009 → Oct 24, 2023

Most-cited inventions

PatentTitleAreaCited byStatus
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
US8428088B2 Synchronization of multiple data sources to a common time base Electricity 2 Active
US7974314B2 Synchronization of multiple data source to a common time base Electricity 1 Active
US12344270B2 Hazard detection using occupancy grids for autonomous systems and applications Performing Operations; Transporting 1 Active
US10147235B2 AR display with adjustable stereo overlap zone Electricity 1 Active
US11906660B2 Object detection and classification using LiDAR range images for autonomous machine applications Physics 1 Active
US11915493B2 Multi-view deep neural network for LiDAR perception General 0 Revoked
US12235353B2 Particle-based hazard detection for autonomous machine Physics 0 Active
US12399253B2 Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications Physics 0 Active
US12373960B2 Dynamic object detection using LiDAR data for autonomous machine systems and applications Physics 0 Active
US12050285B2 Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications Physics 0 Active
US12332614B2 Combining rule-based and learned sensor fusion for autonomous systems and applications Performing Operations; Transporting 0 Active
US11954914B2 Belief propagation for range image mapping in autonomous machine applications Physics 0 Active
US8244431B2 Determining velocity using multiple sensors 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
US12164059B2 Top-down object detection from LiDAR point clouds Physics 0 Active
US12080078B2 Multi-view deep neural network for LiDAR perception Physics 0 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.