| Organizer | Dipl.-Ing. Gereon Hinz |
| Module | IN2106 |
| Type | Master Lab Course |
| Semester | SS 2017 |
| ECTS | 10.0 |
| SWS | 6 |
| Time & Location | Mondays, 5pm 03.07.012 |
| Participation | Matching System |
News
- pre-course meeting, Wednesday, Feb. 8th, 5pm in room 03.07.011 - in case you are not able to attend, please write an e-mail to both instructors stating your motivation to join the course
- first meeting on Apr. 26th
Contents & Scope
Sensor-performance has got a strong influence on the final system performance of an autonomous vehicle. It directly influences driving comfort and safety. In this course we will implement sensor-models for the different sensor types typical for autonomous vehicles. We will study typical causes for sensor-errors, which lead to false positives, or negatives, or to decreased accuracy. We will develop a small simulation in which we will integrate the developed sensor models . For this simulation we will implement a simple autonomous driving task and study the impact of causes for sensor errors on the performance of the autonomous vehicle. Sensortypes will include radar, lidar, camera, ultrasound and gps.