Julian Jordan - RankMe

23 papers A* 4A 2C 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Advancing Out-of-Distribution Detection via Local Neuroplasticity. ICLR Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan
2025	J	`jnl`	Advancing Out-of-Distribution Detection via Local Neuroplasticity. CoRR Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan
2025	A	`conf`	Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. IROS Sajad Marvi, Christoph Rist, Julian Schmidt, Julian Jordan, Abhinav Valada
2025	J	`jnl`	Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. CoRR Sajad Marvi, Christoph Rist, Julian Schmidt, Julian Jordan, Abhinav Valada
2025	—	`conf`	HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions. ITSC Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork
2025	J	`jnl`	HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions. CoRR Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork
2024	J	`jnl`	Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations. CoRR Michael Kurenkov, Sajad Marvi, Julian Schmidt, Christoph B. Rist, Alessandro Canevaro, Hang Yu, Julian Jordan, Georg Schildbach, Abhinav Valada
2023	A*	`conf`	Exploring Navigation Maps for Learning-Based Motion Prediction. ICRA Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	J	`jnl`	Exploring Navigation Maps for Learning-Based Motion Prediction. CoRR Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	C	`conf`	LMR: Lane Distance-Based Metric for Trajectory Prediction. IV Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	J	`jnl`	LMR: Lane Distance-Based Metric for Trajectory Prediction. CoRR Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	C	`conf`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. IV Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	J	`jnl`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. CoRR Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics Autom. Lett. Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. CoRR Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2022	A*	`conf`	CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. ICRA Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
2022	J	`jnl`	CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. CoRR Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
2022	C	`conf`	MEAT: Maneuver Extraction from Agent Trajectories. IV Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
2022	J	`jnl`	MEAT: Maneuver Extraction from Agent Trajectories. CoRR Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
2022	J	`jnl`	Person-Following Controller with Socially Acceptable Robot Motion. Robotics Auton. Syst. Julio C. Montesdeoca Contreras, Juan Marcos Toibero, Julian Jordan, Andreas Zell, Ricardo O. Carelli
2019	A*	`conf`	Real-time Model Based Path Planning for Wheeled Vehicles. ICRA Julian Jordan, Andreas Zell
2017	—	`conf`	Kinematic model based visual odometry for differential drive vehicles. ECMR Julian Jordan, Andreas Zell
2017	A	`conf`	Real-time pose estimation on elevation maps for wheeled vehicles. IROS Julian Jordan, Andreas Zell