Benjamin Englard
22Patents
11h-index
16Co-inventors
64Inventor score
Filing activity: Sep 21, 2018 → Jun 23, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10514462B2 | Training a machine learning based model of a vehicle perception component based on sensor settings | Physics | 32 | Active |
| US10394243B1 | Autonomous vehicle technology for facilitating operation according to motion primitives | Performing Operations; Transporting | 27 | Active |
| US10338223B1 | Processing point clouds of vehicle sensors having variable scan line distributions using two-dimensional interpolation and distance thresholding | Physics | 25 | Active |
| US10606270B2 | Controlling an autonomous vehicle using cost maps | Physics | 21 | Active |
| US10503172B2 | Controlling an autonomous vehicle based on independent driving decisions | Physics | 20 | Active |
| US10627521B2 | Controlling vehicle sensors based on dynamic objects | Physics | 20 | Active |
| US10509127B2 | Controlling vehicle sensors based on road configuration | Physics | 16 | Active |
| US10473788B2 | Adjusting area of focus of vehicle sensors by controlling spatial distributions of scan lines | Physics | 16 | Active |
| US10481605B1 | Autonomous vehicle technology for facilitating safe stopping according to separate paths | Physics | 16 | Active |
| US10551485B1 | Fitting points to a surface | Physics | 15 | Active |
| US10768304B2 | Processing point clouds of vehicle sensors having variable scan line distributions using interpolation functions | Physics | 13 | Active |
| US11521009B2 | Automatically generating training data for a lidar using simulated vehicles in virtual space | Physics | 7 | Active |
| US10754037B2 | Processing point clouds of vehicle sensors having variable scan line distributions using voxel grids | Physics | 5 | Active |
| US10984257B2 | Training multiple neural networks of a vehicle perception component based on sensor settings | Physics | 2 | Active |
| US11361449B2 | Neural network for object detection and tracking | Physics | 1 | Active |
| US11360197B2 | Calibration of sensor systems | Physics | 1 | Active |
| US12266146B2 | Lane detection and tracking techniques for imaging systems | Physics | 0 | Active |
| US11435479B2 | Determining relative velocity based on an expected configuration | Physics | 0 | Active |
| US11688155B2 | Lane detection and tracking techniques for imaging systems | Physics | 0 | Active |
| US12033334B2 | Neural network for object detection and tracking | Physics | 0 | Active |
| US10809364B2 | Determining relative velocity using co-located pixels | Physics | 0 | Active |
| US12158524B2 | Generating scan patterns using cognitive lidar | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.