Bernhard Jaeger

I am a PhD student at the University of Tübingen, where I am part of the Autonomous Vision Group led by Prof. Andreas Geiger. My research is supported by the International Max Plank Research School for Intelligent Systems.

Research: 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.

Bio: 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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Publications

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
Proc. of the International Conf. on Learning Representations (ICLR), 2024
Abs / Paper / Code / Website /

@InProceedings{Miyato2024ICLR, 
	author = {Takeru Miyato and Bernhard Jaeger and Max Welling and Andreas Geiger}, 
	title = {GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers}, 
	booktitle = {Proc. of the International Conf. on Learning Representations (ICLR)}, 
	year = {2024}, 
}

An Invitation to Deep Reinforcement Learning
Bernhard Jaeger, Andreas Geiger
arXiv, 2023
Abs / Paper /

@article{Jaeger2023ARXIV, 
	author = {Bernhard Jaeger and Andreas Geiger}, 
	title = {An Invitation to Deep Reinforcement Learning}, 
	year = {2023}, 
	journal = {arXiv}, 
	volume = {2312.08365}, 
}

Hidden Biases of End-to-End Driving Models (Winner, 2022 CARLA Challenge Map Track)
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
Proc. of the IEEE International Conf. on Computer Vision (ICCV), 2023
Abs / Paper / Video / Poster / Code /

@InProceedings{Jaeger2023ICCV, 
	author = {Bernhard Jaeger and Kashyap Chitta and Andreas Geiger}, 
	title = {Hidden Biases of End-to-End Driving Models}, 
	booktitle = {Proc. of the IEEE International Conf. on Computer Vision (ICCV)}, 
	year = {2023}, 
}

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving (Runner Up, 2021 CARLA Challenge)
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023
Abs / Paper / Supplemental / Video / Poster / Code /

@article{Chitta2023PAMI, 
	author = {Kashyap Chitta and Aditya Prakash and Bernhard Jaeger and Zehao Yu and Katrin Renz and Andreas Geiger}, 
	title = {TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving}, 
	year = {2023}, 
	journal = {Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}, 
}

End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
arXiv, 2023
Abs / Paper / Code /

@article{Chen2023ARXIV, 
	author = {Li Chen and Penghao Wu and Kashyap Chitta and Bernhard Jaeger and Andreas Geiger and Hongyang Li}, 
	title = {End-to-end Autonomous Driving: Challenges and Frontiers}, 
	year = {2023}, 
	journal = {arXiv}, 
	volume = {2306.16927}, 
}

Expert Drivers for Autonomous Driving
Bernhard Jaeger
University of Tübingen, 2021
Paper /

@mastersthesis{Jaeger2021Thesis, 
	author = {Bernhard Jaeger}, 
	title = {Expert Drivers for Autonomous Driving}, 
	year = {2021}, 
	school = {University of Tübingen}, 
}

Talks

On output representations for end-to-end driving
Machine Learning for Autonomous Driving Workshop - NeurIPS, 2022

News

Nov 21, 2022	Our team won the CARLA leaderboard MAP Track challenge at the NeurIPS 2022 Machine Learning for Autonomous Driving workshop.
Apr 01, 2022	I joined the University of Tübingen as a PhD student.
Nov 22, 2021	Our team placed 2nd in the NeurIPS 2021 CARLA Machine Learning for Autonomous Driving autonomous driving challenge .

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