James Andrew Bagnell
32Patents
6h-index
47Co-inventors
65Inventor score
Filing activity: Dec 5, 2008 → Apr 11, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8478642B2 | System, method and device for predicting navigational decision-making behavior | Physics | 59 | Active |
| US8139867B2 | Image segregation system architecture | Physics | 24 | Active |
| US8139850B2 | Constraint generation for use in image segregation | Physics | 22 | Active |
| US10676085B2 | Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data | Performing Operations; Transporting | 20 | Active |
| US9527115B2 | Computer vision and machine learning software for grading and sorting plants | Performing Operations; Transporting | 9 | Active |
| US10906536B2 | Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle | Performing Operations; Transporting | 8 | Active |
| US10503760B2 | Use of relative atlas in an autonomous vehicle | Physics | 6 | Active |
| US10474699B2 | Use of relative atlas in autonomous vehicle | Physics | 6 | Active |
| US11782451B1 | Training machine learning model for controlling autonomous vehicle | Performing Operations; Transporting | 5 | Active |
| US8311338B2 | Method and system for learning a same-material constraint in an image | Physics | 4 | Active |
| US11256729B2 | Autonomous vehicle relative atlas incorporating hypergraph data structure | Physics | 4 | Active |
| US8260050B2 | Test bed for optimizing an image segregation | Physics | 3 | Active |
| US11256730B2 | Use of relative atlas in an autonomous vehicle | Physics | 2 | Active |
| US11654917B2 | Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle | Performing Operations; Transporting | 2 | Active |
| US11919529B1 | Evaluating autonomous vehicle control system | Physics | 1 | Active |
| US11358601B2 | Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data | Performing Operations; Transporting | 1 | Active |
| US11989020B1 | Training machine learning model(s), in simulation, for use in controlling autonomous vehicle(s) | Physics | 1 | Active |
| US12151707B1 | Learned validation metric for evaluating autonomous vehicle motion planning performance | Performing Operations; Transporting | 1 | Active |
| US8600169B2 | Method and system for learning a same-material constraint in an image | Physics | 1 | Active |
| US12304494B2 | Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle | Performing Operations; Transporting | 0 | Active |
| US11933902B2 | Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data | Physics | 0 | Active |
| US11952015B2 | Systems and methods related to controlling autonomous vehicle(s) | Physics | 0 | Active |
| US12337877B2 | Systems and methods related to controlling autonomous vehicle(s) | Physics | 0 | Active |
| US11964663B2 | Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle | Performing Operations; Transporting | 0 | Active |
| US11787439B1 | Multistage autonomous vehicle motion planning | Performing Operations; Transporting | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.