| 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.
Required Skills
Very high motivation, well-structured working style, passion for autonomous driving and simulation.
