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Keywords

autonomous driving, robotics, computer vision, machine learning, reinforcement learning

Countries

Germany

Biography

My main interest is embodied intelligence and its application to autonomous driving. I study various topics in subfields like computer vision, machine learning, robotics and reinforcement learning. My recent publications focus on end-to-end autonomous driving, reinforcement learning and perceptual representation learning.

I studied B.Sc. Informatics: Games Engineering at the Technical University of Munich. Following that I worked for 1 year as a software developer at FERCHAU as graphics developer. Afterwards I did a M.Sc. in Computer Science at the University of Tübingen. I started my PhD at the Autonomous Vision Group in April 2022.

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Employment (1)

University of Tübingen: Tübingen, DE

Employment
Source: Self-asserted source
Bernhard Jaeger

Education and qualifications (2)

University of Tübingen: Tübingen, DE

2019 to 2021 | Master of Science, Computer Science (Computer Science)
Education
Source: Self-asserted source
Bernhard Jaeger

Technical University of Munich: Munich, DE

2015 to 2018 | Bachelor of Science Informatics: Games Engineering (Computer Science)
Education
Source: Self-asserted source
Bernhard Jaeger

Works (5)

An Invitation to Deep Reinforcement Learning

Foundations and Trends® in Optimization
2024-12-10 | Journal article
DOI: 10.1561/2400000049
Contributors: Bernhard Jaeger; Andreas Geiger
Source: Self-asserted source
Bernhard Jaeger

End-to-end Autonomous Driving: Challenges and Frontiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
2024-07-30 | Journal article
DOI: 10.1109/TPAMI.2024.3435937
Contributors: Li Chen; Penghao Wu; Kashyap Chitta; Bernhard Jaeger; Andreas Geiger; Hongyang Li
Source: Self-asserted source
Bernhard Jaeger

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers

The Twelfth International Conference on Learning Representations (ICLR)
2024-01-16 | Conference paper
DOI: 10.48550/ARXIV.2310.10375
Contributors: Takeru Miyato; Bernhard Jaeger; Max Welling; Andreas Geiger
Source: Self-asserted source
Bernhard Jaeger

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

IEEE Transactions on Pattern Analysis and Machine Intelligence
2023-11-01 | Journal article
DOI: 10.1109/tpami.2022.3200245
Part of ISSN: 0162-8828
Part of ISSN: 2160-9292
Part of ISSN: 1939-3539
Contributors: Kashyap Chitta; Aditya Prakash; Bernhard Jaeger; Zehao Yu; Katrin Renz; Andreas Geiger
Source: Self-asserted source
Bernhard Jaeger

Hidden Biases of End-to-End Driving Models

Proc. of the IEEE International Conf. on Computer Vision (ICCV)
2023-10-01 | Conference paper
DOI: 10.1109/ICCV51070.2023.00757
Contributors: Bernhard Jaeger; Kashyap Chitta; Andreas Geiger
Source: Self-asserted source
Bernhard Jaeger
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