Ongoing Student Projects

Here is a list of the current student work. Currently all student works have been finished.

Department: Institute of Automotive Engineering

Project-type: Computer Science Bachelorpraktikum

Starting date: 19.11.2020

Supervisor(s): Clemens Linnhoff, M.Sc.

Within the aDDa project, a dedicated test vehicle is used as a platform for prototypical implementation of automated driving functions developed by students. With this platform, a lot of test and measurements are conducted.

The objective of this Bachelorpraktikum is the automatic extraction of meta data from these measurements. Meta data contains for example the driven path of the vehicle, local weather conditions and the sensors, that where recorded during the test drive. The meta data is then stored in a database, where it can be reviewed an searched.

Department: Institute of Automotive Engineering

Project-type: Master’s Thesis

Starting date: 18.11.2020

Supervisor(s): Christoph Popp M.Sc.

Student: Christof Stähler

In order to guarantee the safe driveability of planned trajectories in automated vehicles, a multi-layer safety concept is being developed. With the goal of detecting errors in the first steps of sensor data acquisition and processing, a plausibility check of the vehicle sensor data will be carried out first. Within the scope of this work, methodologies for data plausibility checks of environment sensors are to be developed. In particular, the question is focused on the extent to which conclusions about the trustworthiness of individual sensors can be drawn from merged sensor data.

Department: Institute of Automotive Engineering

Project-type: Master’s Thesis

Starting date: 01.11.2020

Supervisor(s): Clemens Linnhoff, M.Sc.

Student: Marc Uecker

Machine Learning aided fusion of detection and image data from radar, lidar and cameras to form a comprehensive environment model with an output in object list format.

Department: Institute of Automotive Engineering

Project-type: Master’s Thesis

Starting date: 15.06.2020

Supervisor(s): Christoph Popp M.Sc., Cheng Wang M.Sc.

Student: Onise Tsaava

A trajectory planner in ROS and controllers for longitudinal and lateral dynamics have been developed in aDDa. Before implementing them to the test vehicle, they must be tested via hardware in the loop (HiL). The goal of this master thesis is to develop an appropriate HiL platform using the microautobox and CarMaker and to implement the previously developed controllers.