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0000003859 20W 2SWS SE Masterseminar - Multimodal Temporal Data Processing in Autonomous Driving (IN2107, IN4974)   Hilfe Logo

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Masterseminar - Multimodal Temporal Data Processing in Autonomous Driving (IN2107, IN4974) 
0000003859
seminar
2
Winter semester 2020/21
Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
(Contact information)
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Angaben zur Abhaltung
Please check https://www.in.tum.de/i06/teaching/ws20-21/seminar-multimodal-temporal-data-processing-in-autonomous-driving/

Control systems that steer cars autonomously on the road should have the capability of making sense of the environment. It is a remaining problem that sensors mounted on cars only function in certain conditions. Therefore, the control system should consider a variety of sensory information (images, depth, velocity, map, etc.) at the same time to give rise to a reasonable control output.

In addition, human drivers constantly observe the environment while driving, taking into account the past observations with the future predictions.

In this seminar, we will be looking into the methods to have an understanding of the environment with processing multivariate sensory information at the same time with temporal information.
Students are expected to have taken a course related to one of the followings: computer vision, deep learning, machine learning
Students gain knowledge in sensor fusion and temporal data processing methods, challenges in autonomous driving related tasks, and how learning is applied to problems in this domain.
English
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Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Note: Please provide a CV and a motivation letter that states your achievements and aims related to this seminar until the end of 25.07.2020.
Please send your documents to emec.ercelik@tum.de with subject line "Seminar: Multimodal Temporal Data Processing in Autonomous Driving"
Zusatzinformationen
Please see the additional information for the webpage of the seminar.
Online information
e-learning course (moodle)
Additional information
additional information