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 approaches. We take a holistic perspective on autonomous driving by building entire driving systems and evaluating them closed-loop on public benchmarks.

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 where I developed the graphics software for a digital light technology. 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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Hidden Biases of End-to-End Driving Models
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
Proc. of the IEEE International Conf. on Computer Vision (ICCV), 2023
Paper / Video / Code /
	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}, 
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End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
arXiv, 2023
Paper / Code /
	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}, 
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TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
Paper / Supplemental / Video / Poster / Code /
	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}, 
	booktitle = {Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}, 
	year = {2022}, 
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Expert Drivers for Autonomous Driving
Bernhard Jaeger
University of Tübingen, 2021
Paper /
	author = {Bernhard Jaeger}, 
	title = {Expert Drivers for Autonomous Driving}, 
	year = {2021}, 
	school = {University of Tübingen}, 


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


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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