SoSe 23  
XR009a  
XR009a Seminar

SoSe 23: How can we design systems for intelligent vehicles?

Martin Aleksandrov

Hinweise für Studierende

For information on how to participate in an X-Student Research Group please visit the website of the Berlin University Alliance.

X-Student Research Groups can be credited in the extra curricular domains: Freier Wahlbereich/ABV/ÜwP, individual crediting in other study programs is possible.

Module description: https://www.berlin-university-alliance.de/commitments/teaching-learning/sturop/research-groups/information/Modul_X-Student-Research-Groups.pdf Schließen

Kommentar

Systems for intelligent vehicles range from manual (i.e. a human driver is involved and a robot driver is not) to autonomous (i.e. a robot driver is involved and a human driver is not). For example, a system that navigates a Tesla garbage truck must perform essential tasks such as minimizing fuel consumption and carbon emissions, while keeping a distance from pedestrians, cyclists, and cars. Such a system must also make decisions in the face of ethical dilemmas such as those that occur in the trolley problem. In this course, BUA students will put their hands on developing such systems that are robust to potential dilemmas as much as possible. During the course, they will get to design and assess algorithms for reference maps and object detection.

Course prerequisites are skills in mathematics, programming (e.g. Python, C, Java, C++), statistics (e.g. mean, standard deviation), or ethics. Course activities include normally individual supervision, team tasks, invited talks, and conference participation.

Institutional affiliation: Fachbereich Mathematik und Informatik

Contakt: martin.aleksandrov@fu-berlin.de> Schließen

12 Termine

Regelmäßige Termine der Lehrveranstaltung

Mi, 19.04.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 26.04.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 03.05.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 10.05.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 17.05.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 24.05.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 31.05.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 07.06.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 14.06.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 21.06.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 28.06.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

Mi, 05.07.2023 08:00 - 10:00

Dozenten:
Dr. Martin Aleksandrov

Räume:
T9/053 Seminarraum (Takustr. 9)

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