The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

11 October 2018

Papers citing "The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems"

50 / 271 papers shown

Title
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks Benedikt Mersch Thomas Höllen Kun-li Zhao C. Stachniss R. Roscher 43 34 0 15 Sep 2021
Learning to Navigate Intersections with Unsupervised Driver Trait Inference Shuijing Liu Peixin Chang Haonan Chen Neeloy Chakraborty Katherine Driggs-Campbell SSL DRL 47 13 0 14 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 35 20 0 14 Sep 2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering Raunak P. Bhattacharyya Soyeon Jung Liam A. Kruse Ransalu Senanayake Mykel Kochenderfer 18 26 0 29 Aug 2021
Exploration of lane-changing duration for heavy vehicles and passenger cars: a survival analysis approach Yang Li Linbo Li Daiheng Ni 9 4 0 08 Aug 2021
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art Lukas Westhofen Christian Neurohr Tjark Koopmann Martin Butz barbara Schutt F. Utesch Birte Neurohr Christian Gutenkunst Eckard Böde 11 93 0 05 Aug 2021
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles Erwin de Gelder Eric Cator J. Paardekooper Olaf Op den Camp B. de Schutter 33 5 0 12 Jul 2021
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess Laurent Kloeker Fabian Thomsen L. Eckstein Philip Trettner Tim Elsner Julius Nehring-Wirxel Kersten Schuster Leif Kobbelt Michael Hoesch 22 4 0 08 Jun 2021
IPS300+: a Challenging Multimodal Dataset for Intersection Perception System Huanan Wang Jiahui Geng Jun Li Zhiwei Li Lei Yang Shuyue Pan Yongqiang Deng 27 29 0 05 Jun 2021
Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information A. Quintanar David Fernández Llorca Ignacio Parra R. Izquierdo Miguel Ángel Sotelo 17 31 0 01 Jun 2021
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes Yue Zhang Y. Zou Lingtao Wu 17 1 0 22 May 2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity Lakshman Balasubramanian Jonas Wurst M. Botsch Ke Deng 14 9 0 17 May 2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Lakshman Balasubramanian Friedrich Kruber M. Botsch Ke Deng 26 12 0 17 May 2021
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water Leon Amadeus Varga Benjamin Kiefer Martin Messmer A. Zell 34 112 0 05 May 2021
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data Qi Dai Di Shen Jinhong Wang Suzhou Huang Dimitar Filev 13 11 0 05 May 2021
Learning Traffic Speed Dynamics from Visualizations Bilal Thonnam Thodi Z. Khan Saif Eddin Jabari M. Menéndez 29 7 0 04 May 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation Adam Scibior Vasileios Lioutas Daniele Reda Peyman Bateni Frank Wood VGen 56 47 0 22 Apr 2021
Localization-Based Tracking Derek Gloudemans D. Work VOT 29 2 0 12 Apr 2021
A Kinematic Model for Trajectory Prediction in General Highway Scenarios Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 22 12 0 30 Mar 2021
Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space Marion Neumeier Andreas Tollkühn T. Berberich M. Botsch DRL 22 29 0 25 Mar 2021
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning Srivalli Boddupalli Akash Rao S. Ray 19 42 0 18 Mar 2021
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX A. Tenbrock A. Koenig Thomas Keutgens Julian Bock Hendrik Weber R. Krajewski A. Zlocki 11 24 0 17 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 39 6 0 05 Mar 2021
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation Bilal Thonnam Thodi Z. Khan Saif Eddin Jabari M. Menéndez 6 41 0 04 Feb 2021
Vehicle trajectory prediction in top-view image sequences based on deep learning method Zahra Salahshoori Nejad Hamed Heravi Ali Rahimpour Jounghani Abdollah Shahrezaie A. Ebrahimi 21 7 0 02 Feb 2021
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks Florian Wirthmüller Marvin Klimke Julian Schlechtriemen Jochen Hipp M. Reichert 14 17 0 02 Feb 2021
Polynomial Trajectory Predictions for Improved Learning Performance Ido Freeman Kun-li Zhao A. Kummert 18 0 0 29 Jan 2021
Video action recognition for lane-change classification and prediction of surrounding vehicles Mahdi Biparva David Fernández-Llorca Rubén Izquierdo-Gonzalo John K. Tsotsos 34 46 0 13 Jan 2021
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving B. Osinski Piotr Milos Adam Jakubowski Pawel Ziecina Michal Martyniak Christopher Galias Antonia Breuer S. Homoceanu Henryk Michalewski 22 20 0 16 Dec 2020
Clustering multivariate functional data using unsupervised binary trees Steven Golovkine N. Klutchnikoff V. Patilea 29 12 0 10 Dec 2020
Deep Surrogate Q-Learning for Autonomous Driving M. Kalweit Gabriel Kalweit M. Werling Joschka Boedecker OffRL 26 5 0 21 Oct 2020
A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness Yifan Zhang Qian Xu Jianping Wang Kui Wu Zuduo Zheng K. Lu 23 41 0 19 Oct 2020
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions Florian Wirthmüller Marvin Klimke Julian Schlechtriemen Jochen Hipp M. Reichert 8 4 0 23 Sep 2020
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data Thomas Ponn Matthias Breitfuss Xiao Yu Frank Diermeyer 4 21 0 26 Aug 2020
Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs R. Izquierdo A. Quintanar Ignacio Parra David Fernández Llorca Miguel Ángel Sotelo 40 8 0 26 Aug 2020
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles David Fernández-Llorca Mahdi Biparva Rubén Izquierdo-Gonzalo John K. Tsotsos 20 18 0 25 Aug 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 57 536 0 19 Aug 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 33 26 0 17 Aug 2020
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic Huanjie Wang Wenshuo Wang Shihua Yuan Xueyuan Li Lijun Sun 9 35 0 14 Aug 2020
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions Lucas Eiermann Florian Wirthmüller Kay Massow Gabi Breuel I. Radusch 6 7 0 11 Aug 2020
Defining Traffic States using Spatio-temporal Traffic Graphs Debaditya Roy K. N. Kumar C.Krishna Mohan 19 32 0 27 Jul 2020
openDD: A Large-Scale Roundabout Drone Dataset Antonia Breuer Jan-Aike Termöhlen S. Homoceanu Tim Fingscheidt 6 39 0 16 Jul 2020
Extracting the fundamental diagram from aerial footage R. Makrigiorgis P. Kolios S. Timotheou T. Theocharides C. Panayiotou 9 10 0 07 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning Xiao Wang Saasha Nair Matthias Althoff AAML 13 19 0 01 Jul 2020
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups Laurent Kloeker Christian Geller Amarin Kloeker L. Eckstein 11 12 0 22 Jun 2020
An Open-Source Scenario Architect for Autonomous Vehicles Tim Stahl Johannes Betz 15 10 0 17 Jun 2020
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior Florian Wirthmüller Julian Schlechtriemen Jochen Hipp M. Reichert 12 15 0 15 Jun 2020
Real-World Scenario Mining for the Assessment of Automated Vehicles Erwin de Gelder J. Manders Corrado Grappiolo J. Paardekooper Olaf Op den Camp B. de Schutter 6 21 0 31 May 2020
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach Liming Jiang Yuanchang Xie Danjue Chen Tienan Li Nicholas G. Evans 19 19 0 17 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 52 795 0 08 May 2020