| Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion E Pronovost, MR Ganesina, N Hendy, Z Wang, A Morales, K Wang, N Roy Neural Information Processing Systems (NeurIPS), 2023 | 23 | 2023 |
| Generating Driving Scenes with Diffusion E Pronovost, K Wang, N Roy ICRA Scalable Autonomous Driving Workshop, 2023 | 14 | 2023 |
| Encoding relative object information into node edge features G Garimella, M Kobilarov, AGM Morales, EM Pronovost, KZ Wang, X Zeng US Patent 12,065,171, 2024 | 6 | 2024 |
| Boundary aware top-down prediction EM Pronovost US Patent App. 17/535,382, 2023 | 6 | 2023 |
| Focusing prediction distribution output for efficient sampling G Garimella, M Kobilarov, AGM Morales, EM Pronovost, KZ Wang, X Zeng US Patent 12,084,087, 2024 | 5 | 2024 |
| Prediction sampling techniques G Garimella, M Kobilarov, AGM Morales, EM Pronovost, KZ Wang, X Zeng US Patent 12,080,044, 2024 | 5 | 2024 |
| Offloading for gradient computation EM Pronovost, EP Dreyfuss US Patent 11,704,572, 2023 | 5 | 2023 |
| Boundary aware top-down trajectory prediction EM Pronovost US Patent 11,983,933, 2024 | 1 | 2024 |
| Machine-learned model variance compensation EM Pronovost US Patent 11,884,282, 2024 | 1 | 2024 |
| Object trajectory determination EM Pronovost US Patent 12,065,140, 2024 | | 2024 |
| Machine-learned cost estimation in tree search trajectory generation for vehicle control Y Chang, A Huang, PS Schleede, G Linscott, M Kobilarov, EM Pronovost, ... US Patent App. 18/084,419, 2024 | | 2024 |
| Prediction models in autonomous vehicles using modified map data EM Pronovost US Patent 12,012,108, 2024 | | 2024 |
| System for Generating Scene Context Data Using a Reference Graph G Garimella, G Linscott, EM Pronovost US Patent App. 17/854,849, 2024 | | 2024 |
| Cross batch normalization S Guo, EM Pronovost, CJ Soohoo, Q Tan US Patent 11,568,259, 2023 | | 2023 |
Gowtham GarimellaJohns Hopkins University在 jhu.edu 的电子邮件经过验证
