Sebastian Huch

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All published works

Action	Title	Year	Authors
+ PDF Chat	DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles	2023	Sebastian Huch Florian Sauerbeck Johannes Betz
+	Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing	2023	Phillip Karle Felix Fent Sebastian Huch Florian Sauerbeck Markus Lienkamp
+ PDF Chat	Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level	2023	Sebastian Huch Luca Scalerandi Esteban Rivera Markus Lienkamp
+ PDF Chat	TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge	2023	Johannes Betz Tobias Betz Felix Fent Maximilian Geisslinger Alexander Heilmeier Leonhard Hermansdorfer Thomas Herrmann Sebastian Huch Phillip Karle Markus Lienkamp
+	DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles	2023	Sebastian Huch Florian Sauerbeck Johannes Betz
+	EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application	2023	Phillip Karle Tobias Betz Marcin Bosk Felix Fent Nils Gehrke Maximilian Geisslinger Luis Gressenbuch Philipp Hafemann Sebastian Huber Maximilian Hübner
+ PDF Chat	Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits	2022	Alexander Wischnewski Maximilian Geisslinger Johannes Betz Tobias Betz Felix Fent Alexander Heilmeier Leonhard Hermansdorfer Thomas Herrmann Sebastian Huch Phillip Karle
+	TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge	2022	Johannes Betz Tobias Betz Felix Fent Maximilian Geisslinger Alexander Heilmeier Leonhard Hermansdorfer Thomas Herrmann Sebastian Huch Phillip Karle Markus Lienkamp
+	Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits	2022	Alexander Wischnewski Maximilian Geisslinger Johannes Betz Tobias Betz Felix Fent Alexander Heilmeier Leonhard Hermansdorfer Thomas Herrmann Sebastian Huch Phillip Karle

Common Coauthors

Coauthor	Papers Together
Florian Sauerbeck	8
Markus Lienkamp	7
Johannes Betz	7
Felix Fent	6
Phillip Karle	6
Rainer Trauth	5
Tobias Betz	5
Maximilian Geisslinger	5
Tim Stahl	4
Boris Lohmann	4
Alexander Heilmeier	4
Levent Ögretmen	4
Matthias Rowold	4
Alexander Wischnewski	4
Leonhard Hermansdorfer	3
Felix Nobis	3
Thomas Herrmann	3
Frederik Werner	2
Philipp Hafemann	1
Leander Seidlitz	1
Gemb Kaljavesi	1
Nico Uhlemann	1
Tobias Kerbl	1
Tobias Mascetta	1
Matthias Althoff	1
Baha Zarrouki	1
Nils Gehrke	1
Thomas Herrmann	1
Esteban Rivera	1
Esteban Rivera	1
Ilir Tahiraj	1
Florian Pfab	1
Marcin Bosk	1
Jörg Ott	1
Sebastian Huber	1
Klaus Bengler	1
Luis Gressenbuch	1
Frank Diermeyer	1
Georg Carle	1
Dominik Kulmer	1
Leonhard Hermansdorfer	1
Gerald Würsching	1
Simon Sagmeister	1
Sebastian Maierhofer	1
Felix Nobis	1
Luca Scalerandi	1
Filip Rezabek	1
Maximilian Hübner	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	nuScenes: A Multimodal Dataset for Autonomous Driving	2020	Holger Caesar Varun Bankiti Alex Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yu Pan Giancarlo Baldan Oscar Beijbom	3
+ PDF Chat	Scalability in Perception for Autonomous Driving: Waymo Open Dataset	2020	Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurélien Chouard Vijaysai Patnaik Paul Tsui James C. Y. Guo Yin Zhou Yuning Chai Benjamin Caine	3
+ PDF Chat	Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios	2019	Tim Stahl Alexander Wischnewski Johannes Betz Markus Lienkamp	2
+ PDF Chat	Frustum PointNets for 3D Object Detection from RGB-D Data	2018	Charles R. Qi Wei Liu Chenxia Wu Hao Su Leonidas Guibas	2
+ PDF Chat	A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection	2019	Felix Nobis Maximilian Geisslinger Markus Weber Johannes Betz Markus Lienkamp	2
+ PDF Chat	AMZ Driverless: The full autonomous racing system	2020	Juraj Kabzan Miguel I. Valls Victor Reijgwart Hubertus Franciscus Cornelis Hendrikx Claas Ehmke Manish Prajapat Andreas Bühler Nikhil Gosala Mehak Gupta R. Sivanesan	2
+	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	2019	Shaoshuai Shi Chaoxu Guo Li Jiang Zhe Wang Jianping Shi Xiaogang Wang Hongsheng Li	2
+ PDF Chat	Optimization‐based autonomous racing of 1:43 scale RC cars	2014	Alexander Liniger Alexander Domahidi Manfred Morari	2
+	Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing	2022	Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl Venkat Krovi Rahul Mangharam	2
+ PDF Chat	PointPillars: Fast Encoders for Object Detection From Point Clouds	2019	Alex Lang Sourabh Vora Holger Caesar Lubing Zhou Jiong Yang Oscar Beijbom	2
+ PDF Chat	Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits	2022	Alexander Wischnewski Maximilian Geisslinger Johannes Betz Tobias Betz Felix Fent Alexander Heilmeier Leonhard Hermansdorfer Thomas Herrmann Sebastian Huch Phillip Karle	2
+ PDF Chat	Multi-Task Multi-Sensor Fusion for 3D Object Detection	2019	Ming Liang Bin Yang Yun Chen Rui Hu Raquel Urtasun	2
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	2
+ PDF Chat	A Noncooperative Game Approach to Autonomous Racing	2019	Alexander Liniger John Lygeros	2
+ PDF Chat	Autonomous Driving System Design for Formula Student Driverless Racecar	2018	Hanqing Tian Jun Ni Jibin Hu	1
+	How much real data do we actually need: Analyzing object detection performance using synthetic and real data	2019	Farzan Erlik Nowruzi Prince Kapoor Dhanvin Kolhatkar Fahed Al Hassanat Robert Laganière Julien Rebut	1
+ PDF Chat	Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars	2018	Lukas Hewing Alexander Liniger Melanie N. Zeilinger	1
+ PDF Chat	Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving	2019	Yan Wang Wei‐Lun Chao Divyansh Garg Bharath Hariharan Mark Campbell Kilian Q. Weinberger	1
+ PDF Chat	Understanding how image quality affects deep neural networks	2016	Samuel Dodge Lina J. Karam	1
+	A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving	2018	Xiangyu Yue Bichen Wu Sanjit A. Seshia Kurt Keutzer Alberto Sangiovanni‐Vincentelli	1
+	On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming	2005	Andreas Wächter Lorenz T. Biegler	1
+ PDF Chat	Convolutional Social Pooling for Vehicle Trajectory Prediction	2018	Nachiket Deo Mohan M. Trivedi	1
+	Safe Motion Planning for Autonomous Driving using an Adversarial Road Model	2020	Alex Liniger Luc Van Gool	1
+ PDF Chat	Train in Germany, Test in the USA: Making 3D Object Detectors Generalize	2020	Yan Wang Xiangyu Chen Yurong You Li Erran Li Bharath Hariharan Mark Campbell Kilian Q. Weinberger Wei‐Lun Chao	1
+ PDF Chat	Sampling-based algorithms for optimal motion planning using closed-loop prediction	2017	Oktay Arslan Karl Berntorp Panagiotis Tsiotras	1
+ PDF Chat	Distant Vehicle Detection Using Radar and Vision	2019	Simon Chadwick Will Maddern Paul Newman	1
+ PDF Chat	MVX-Net: Multimodal VoxelNet for 3D Object Detection	2019	Vishwanath A. Sindagi Yin Zhou Oncel Tuzel	1
+ PDF Chat	Autonomous racing using learning Model Predictive Control	2017	Ugo Rosolia Ashwin Carvalho Francesco Borrelli	1
+ PDF Chat	Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data	2019	Aayush Prakash Shaad Boochoon Mark Brophy David Acuna Eric Cameracci Gavriel State Omer Shapira Stan Birchfield	1
+ PDF Chat	Real-time 3D Traffic Cone Detection for Autonomous Driving	2019	Ankit Dhall Dengxin Dai Luc Van Gool	1
+ PDF Chat	Joint 3D Proposal Generation and Object Detection from View Aggregation	2018	Jason S. Ku Melissa Mozifian Jungwook Lee Ali Harakeh Steven L. Waslander	1
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	1
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton	1
+ PDF Chat	Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes	2018	Hassan Abu Alhaija Siva Karthik Mustikovela Lars Mescheder Andreas Geiger Carsten Rother	1
+ PDF Chat	M3D-RPN: Monocular 3D Region Proposal Network for Object Detection	2019	Garrick Brazil Xiaoming Liu	1
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	1
+ PDF Chat	Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control	2019	Thomas Herrmann Fabian Christ Johannes Betz Markus Lienkamp	1
+	RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving	2019	Mohamed Ramzy Hazem Rashed Ahmad El Sallab Senthil Yogamani	1
+ PDF Chat	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	2020	Shaoshuai Shi Chaoxu Guo Li Jiang Zhe Wang Jianping Shi Xiaogang Wang Hongsheng Li	1
+ PDF Chat	Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks	2020	Thomas Roddick Roberto Cipolla	1
+ PDF Chat	LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World	2020	Sivabalan Manivasagam Shenlong Wang Kelvin Wong Wenyuan Zeng Mikita Sazanovich Shuhan Tan Bin Yang Wei-Chiu Ma Raquel Urtasun	1
+ PDF Chat	PnPNet: End-to-End Perception and Prediction With Tracking in the Loop	2020	Ming Liang Bin Yang Wenyuan Zeng Yun Chen Rui Hu Sergio Casas Raquel Urtasun	1
+ PDF Chat	End-to-End Race Driving with Deep Reinforcement Learning	2018	Maximilian Jaritz Raoul de Charette Marin Toromanoff Etienne Pérot Fawzi Nashashibi	1
+ PDF Chat	Learning How to Autonomously Race a Car: A Predictive Control Approach	2019	Ugo Rosolia Francesco Borrelli	1
+ PDF Chat	PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation	2018	Danfei Xu Dragomir Anguelov Ashesh Jain	1
+	3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans	2020	Antoni Rosinol Arjun Gupta Marcus Abate Jingnan Shi Luca Carlone	1
+ PDF Chat	Disentangling Monocular 3D Object Detection	2019	Andrea Simonelli Samuel Rota Bulò Lorenzo Porzi Manuel López-Antequera Peter Kontschieder	1
+	Mixing Real and Synthetic Data to Enhance Neural Network Training -- A Review of Current Approaches	2020	Viktor Seib Benjamin P. Lange Stefan Wirtz	1
+ PDF Chat	Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data	2019	Xiangyu Yue Yang Zhang Sicheng Zhao Alberto Sangiovanni‐Vincentelli Kurt Keutzer Boqing Gong	1
+ PDF Chat	AutoRally: An Open Platform for Aggressive Autonomous Driving	2019	Brian Goldfain Paul Drews Changxi You Matthew Barulic Orlin D. Velev Panagiotis Tsiotras James M. Rehg	1