Praktikum - Sensor Model-Based Autonomous Driving (IN0012, IN2106, IN4211)
Course 0000003093 in SS 2017
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll) |
| Lecturers |
Gereon Hinz Responsible/Coordination: Alois Christian Knoll |
| Dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | 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. |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |