Julian Eggert

According to our database1, Julian Eggert authored at least 128 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Glimpse in ChatGPT Capabilities and its impact for AI research.
CoRR, 2023

Continuous Risk Measures for Driving Support.
CoRR, 2023

Importance Filtering with Risk Models for Complex Driving Situations.
CoRR, 2023

Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots.
Proceedings of the ISWC 2023 Posters, 2023

Introducing Risk Shadowing for Decisive and Comfortable Behavior Planning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

How do Drivers Take a Curve? The Comfort Factor Model (CFM).
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

A User Interface for Sense-making of the Reasoning Process while Interacting with Robots.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps.
IEEE Trans. Intell. Veh., 2022

Extraction of Common Physical Properties of Everyday Objects from Structured Sources.
Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

Graph Based Pattern Classification for NLU and Slot Filling: Approach and Analysis.
Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

Fast online parameter estimation of the Intelligent Driver Model for trajectory prediction.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Robustifying Car-Following Models with Explicit Reaction Times.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Situational Question Answering using Memory Nets.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

2021
Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Analysis of the Generalized Intelligent Driver Model (GIDM) for Uncontrolled Intersections.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Error Decomposition for Hybrid Localization Systems.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Vision-Enhanced Low-Cost Localization in Crowdsourced Maps.
IEEE Intell. Transp. Syst. Mag., 2020

Proactive Risk Navigation System for Real-World Urban Intersections.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Time-Course Sensitive Collision Probability Model for Risk Estimation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Probabilistic Unified Risk Estimation: General Survival Theory (GST) and TTX Risk Measures.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving.
IEEE Trans. Intell. Veh., 2019

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Foresighted Driver Model derived from Integral Expected Risk.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Action Representation for Intelligent Agents Using Memory Nets.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019

Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018
Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps.
IEEE Intell. Transp. Syst. Mag., 2018

Risk estimation for driving support and behavior planning in intelligent vehicles.
Autom., 2018

Which tool to use? Grounded reasoning in everyday environments with assistant robots.
Proceedings of the 11th Cognitive Robotics Workshop 2018, 2018

Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Lane Detection Based Camera to Map Alignment Using Open-Source Map Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Behavior-based relative self-localization in intersection scenarios.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Risk-based driver assistance for approaching intersections of limited visibility.
Proceedings of the 2017 IEEE International Conference on Vehicular Electronics and Safety, 2017

2016
Toward Self-Referential Autonomous Learning of Object and Situation Models.
Cogn. Comput., 2016

Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Extensions for the Foresighted Driver Model: Tactical lane change, overtaking and continuous lateral control.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Solomon curve 2020: Relating microscopic risk models with accident statistics.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Spatio-temporal trajectory similarity and its application to predicting lack of interaction in traffic situations.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Camera to map alignment for accurate low-cost lane-level scene interpretation.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Stereo Visual Odometry Without Temporal Filtering.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

2015
Topological Sparse Learning of Dynamic Form Patterns.
Neural Comput., 2015

Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

A multi-block-matching approach for stereo.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

The Foresighted Driver Model.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Balancing risk against utility: Behavior planning using predictive risk maps.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Using Context Information and Probabilistic Classification for Making Extended Long-Term Trajectory Predictions.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Complex Lane Change Behavior in the Foresighted Driver Model.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Efficient occlusive components analysis.
J. Mach. Learn. Res., 2014

Sparse coding of human motion trajectories with non-negative matrix factorization.
Neurocomputing, 2014

Monocular Rear Approach Indicator for Motorcycles.
Proceedings of the VISAPP 2014, 2014

Combining behavior and situation information for reliably estimating multiple intentions.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Block-matching stereo with relaxed fronto-parallel assumption.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Predictive risk estimation for intelligent ADAS functions.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Predictive risk maps.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Beyond histograms: why learned structure-preserving descriptors outperform HOG.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Anisotropic Median Filtering for Stereo Disparity Map Refinement.
Proceedings of the VISAPP 2013, 2013

Predicting Velocity Profiles of Road Users at Intersections Using Configurations.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Stereo image warping for improved depth estimation of road surfaces.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Learning driving situations and behavior models from data.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Non-negative sparse coding for motion extraction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning Features for Activity Recognition with Shift-Invariant Sparse Coding.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Learning associative spatiotemporal features with non-negative sparse coding.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding.
Proceedings of the SIGMAP and WINSYS 2012, 2012

Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data.
Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012

Traffic situation assessment by recognizing interrelated road users.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Deciding what to inspect first: Incremental situation assessment based on information gain.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Ternary Sparse Coding.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Unsupervised learning of motion patterns.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Modeling short-term adaptation processes of visual motion detectors.
Neurocomputing, 2011

Dynamic, Task-Related and Demand-Driven Scene Representation.
Cogn. Comput., 2011

2010
Expectation Truncation and the Benefits of Preselection In Training Generative Models.
J. Mach. Learn. Res., 2010

Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Direct Surface Fitting.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

System approach for multi-purpose representations of traffic scene elements.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

A probabilistic method for hierarchical 2D-3D tracking.
Proceedings of the International Joint Conference on Neural Networks, 2010

Layered Motion Segmentation with a Competitive Recurrent Network.
Proceedings of the Artificial Neural Networks, 2010

Binary Sparse Coding.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Exploiting hierarchical prediction structures for mixed 2d-3d tracking.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Adaptive velocity tuning for visual motion estimation.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Figure-ground Segmentation using Metrics Adaptation in Level Set Methods.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Evaluation of Direct Plane Fitting for Depth and Parameter Estimation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

A Two-Stage Correlation Method for Stereoscopic Depth Estimation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009
Approaches and Challenges for Cognitive Vision Systems.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Experimental Evaluation of Approaches for Long Term Prediction of Human Movement Trajectories.
Aust. J. Intell. Inf. Process. Syst., 2009

Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Level-set segmentation with contour based object representation.
Proceedings of the International Joint Conference on Neural Networks, 2009

Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Robust Tracking by Means of Template Adaptation with Drift Correction.
Proceedings of the Computer Vision Systems, 2009

Demand-Driven Visual Information Acquisition.
Proceedings of the Computer Vision Systems, 2009

A stochastic dynamical system for optical flow estimation.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Tracking with Multiple Prediction Models.
Proceedings of the Artificial Neural Networks, 2009

Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF.
Proceedings of the Artificial Neural Networks, 2009

2008
Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Attention Modulation Using Short- and Long-Term Knowledge.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Tracking with Depth-from-Size.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Incremental Learning in the Non-negative Matrix Factorization.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Time Series Analysis for Long Term Prediction of Human Movement Trajectories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

A Probabilistic Prediction Method for Object Contour Tracking.
Proceedings of the Artificial Neural Networks, 2008

Echo State Networks for Online Prediction of Movement Data - Comparing Investigations.
Proceedings of the Artificial Neural Networks, 2008

Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
A Probabilistic Method for Motion Pattern Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

Multi-dimensional Histogram-Based Image Segmentation.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Walking Appearance Manifolds without Falling Off.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Uncertainty optimization for robust dynamic optical flow estimation.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Sparse and Transformation-Invariant Hierarchical NMF.
Proceedings of the Artificial Neural Networks, 2007

Template Matching for Large Transformations.
Proceedings of the Artificial Neural Networks, 2007

2006
A Probabilistic Model for Binaural Sound Localization.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Non-Gaussian velocity distributions integrated over space, time, and scales.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

2005
Learning viewpoint invariant object representations using a temporal coherence principle.
Biol. Cybern., 2005

Short Term Memory and Pattern Matching with Simple Echo State Networks.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Probabilistic Color Optical Flow.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
Building a Motion Resolution Pyramid by Combining Velocity Distributions.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Sparse Coding with Invariance Constraints.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Modeling Neuronal Assemblies: Theory and Implementation.
Neural Comput., 2001

Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies.
Neurocomputing, 2001

Exact differential equation population dynamics for integrate-and-fire neurons.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1997
Derivation of Pool Dynamics from Microscopic Neuronal Models.
Proceedings of the Artificial Neural Networks, 1997


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