Control and Camera-based State Estimation using Machine Vision and Machine Learning - A Comparison Study in IMU-replacing Neural Networks on a Wheeled Inverted Pendulum System
| dc.contributor.author | Kötz, Lasse | |
| dc.contributor.author | Almgren, Jonathan | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Sjöberg, Jonas | |
| dc.date.accessioned | 2023-06-26T12:04:46Z | |
| dc.date.available | 2023-06-26T12:04:46Z | |
| dc.date.issued | 2023 | |
| dc.date.submitted | 2023 | |
| dc.identifier.coursecode | EENX30 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/306402 | |
| dc.setspec.uppsok | Technology | |
| dc.title | Control and Camera-based State Estimation using Machine Vision and Machine Learning - A Comparison Study in IMU-replacing Neural Networks on a Wheeled Inverted Pendulum System | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Complex adaptive systems (MPCAS), MSc | |
| local.programme | Systems, control and mechatronics (MPSYS), MSc |