Hendrik Königshof

According to our database, Hendrik Königshof authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts.

Royden Wagner, Ömer Sahin Tas, Marlon Steiner, Fabian Konstantinidis, Hendrik Königshof, Marvin Klemp, Carlos Fernández, Christoph Stiller

CoRR, 2024

2023

Interaktive Trajektorienplanung mittels gemischt-ganzzahliger quadratischer Programmierung.

Christoph Burger, Hendrik Königshof, Christoph Stiller

Autom., April, 2023

2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

A Parameter Analysis on RSS in Overtaking Situations on German Highways.

Hendrik Königshof, Fabian Oboril, Kay-Ulrich Scholl, Christoph Stiller

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2020

Learning-Based Shape Estimation with Grid Map Patches for Realtime 3D Object Detection for Automated Driving.

Hendrik Königshof, Christoph Stiller

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Vision-based Lifting of 2D Object Detections for Automated Driving.

Hendrik Königshof, Kun Li, Christoph Stiller

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kümmerle, Hendrik Königshof, Christoph Stiller, Arnaud de La Fortelle, Masayoshi Tomizuka

CoRR, 2019

Safe but not Overcautious Motion Planning under Occlusions and Limited Sensor Range.

Maximilian Naumann, Hendrik Konigshof, Martin Lauer, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Provably Safe and Smooth Lane Changes in Mixed Trafic.

Maximilian Naumann, Hendrik Königshof, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Realtime 3D Object Detection for Automated Driving Using Stereo Vision and Semantic Information.

Hendrik Königshof, Niels Ole Salscheider, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2016

Vehicle localization with tightly coupled GNSS and visual odometry.

Markus Schreiber, Hendrik Königshof, Andre-Marcel Hellmund, Christoph Stiller

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016