Krzysztof Czarnecki

ORCID

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 147

Top Venues

CoRR

SPLC

Softw. Syst. Model.

Technische Universität Illmenau, Germany (PHD)

Education History

Technische Universität Illmenau, Germany

PHD

Publications

Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. IV (2022)
Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. ICSE (2022)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. AAAI (2022)
Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV (2022)
Benjamin Thérien, Krzysztof Czarnecki
Interpretable Deep Tracking. CoRR (2022)
Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. ICRA (2022)
Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. CoRR (2022)
Rick Salay, Krzysztof Czarnecki
A Safety Assurable Human-Inspired Perception Architecture. SAFECOMP Workshops (2022)
Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. CoRR (2022)
Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. CoRR (2022)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. CoRR (2022)
Rick Salay, Krzysztof Czarnecki
A Safety Assurable Human-Inspired Perception Architecture. CoRR (2022)
Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. CoRR (2022)
Sunsheng Gu, Vahdat Abdelzad, Krzysztof Czarnecki
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection. CoRR (2022)
Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. CoRR (2022)
Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. CoRR (2022)
Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. ITSC (2022)
Rodrigo Queiroz, Divit Sharma, Ricardo Caldas, Krzysztof Czarnecki, Sergio García, Thorsten Berger, Patrizio Pelliccione
A Driver-Vehicle Model for ADS Scenario-based Testing. CoRR (2022)
Aravind Balakrishnan, Jaeyoung Lee, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards
Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim. ACM Trans. Model. Comput. Simul. 31 (3) (2021)
Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty. NFM (2021)
Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Jesús Alejandro Padilla
A Study of Feature Scattering in the Linux Kernel. IEEE Trans. Software Eng. 47 (1) (2021)
Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander
Canadian Adverse Driving Conditions dataset. Int. J. Robotics Res. 40 (4-5) (2021)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection. ICCVW (2021)
Vahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki
Non-divergent Imitation for Verification of Complex Learned Controllers. IJCNN (2021)
Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae, Vahdat Abdelzad, Chengjie Huang, Maximilian Kahn, Van Duong Nguyen
The missing link: Developing a safety case for perception components in automated driving. CoRR (2021)
Atrisha Sarkar, Krzysztof Czarnecki
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving. AAAI (2021)
Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. CoRR (2021)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
A taxonomy of strategic human interactions in traffic conflicts. CoRR (2021)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
Self-Attention Based Context-Aware 3D Object Detection. CoRR (2021)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Generalized dynamic cognitive hierarchy models for strategic driving behavior. CoRR (2021)
Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty. CoRR (2021)
Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches. CoRR (2020)
Prarthana Bhattacharyya, Krzysztof Czarnecki
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations. CoRR (2020)
Rick Salay, Krzysztof Czarnecki, Maria Soledad Elli, Ignacio J. Alvarez, Sean Sedwards, Jack Weast
PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML. SafeAI@AAAI (2020)
Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. CoRR (2020)
Weitao Chen, Rick Salay, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning. ITSC (2020)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Safe Swerve Maneuvers for Autonomous Driving. IV (2020)
Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. IV (2020)
Atrisha Sarkar, Krzysztof Czarnecki
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving. CoRR (2020)
Johnathan DiMatteo, Daniel M. Berry, Krzysztof Czarnecki
Requirements for Monitoring Inattention of the Responsible Human in an Autonomous Vehicle: The Recall and Precision Tradeoff. REFSQ Workshops (2020)
Pavel Valov, Jianmei Guo, Krzysztof Czarnecki
Transferring Pareto Frontiers across Heterogeneous Hardware Environments. ICPE (2020)
Aman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki
Improved Policy Extraction via Online Q-Value Distillation. IJCNN (2020)
Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Jesús Alejandro Padilla
A Study of Feature Scattering in the Linux Kernel. SE (2020)
Boyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik
Towards Requirements Specification for Machine-learned Perception Based on Human Performance. AIRE@RE (2020)
Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards
Simple Continual Learning Strategies for Safer Classifers. SafeAI@AAAI (2020)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Universally Safe Swerve Manoeuvres for Autonomous Driving. CoRR (2020)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV (2020)
Nicole Dillen, Marko Ilievski, Edith Law, Lennart E. Nacke, Krzysztof Czarnecki, Oliver Schneider
Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles. CHI (2020)
Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander
Canadian Adverse Driving Conditions Dataset. CoRR (2020)
Dina Zayan, Atrisha Sarkar, Michal Antkiewicz, Rita Suzana Pitangueira Maciel, Krzysztof Czarnecki
Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them. Softw. Syst. Model. 18 (3) (2019)
Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards
WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving. QEST (2019)
Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving. CoRR (2019)
Jordan A. Ross, Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, Krzysztof Czarnecki
Synthesis and exploration of multi-level, multi-perspective architectures of automotive embedded systems. Softw. Syst. Model. 18 (1) (2019)
Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki
Design Space of Behaviour Planning for Autonomous Driving. CoRR (2019)
Samin Khan, Buu Phan, Rick Salay, Krzysztof Czarnecki
ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. CVPR Workshops (2019)
Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV (2019)
Krzysztof Czarnecki, Rick Salay
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. CoRR (2019)
Jian Deng, Krzysztof Czarnecki
MLOD: A multi-view 3D object detection based on robust feature fusion method. CoRR (2019)
Rick Salay, Matt Angus, Krzysztof Czarnecki
A Safety Analysis Method for Perceptual Components in Automated Driving. ISSRE (2019)
Rodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. IV (2019)
Changjian Li, Krzysztof Czarnecki
Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. CoRR (2019)
Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki
FANTrack: 3D Multi-Object Tracking with Feature Association Network. CoRR (2019)
Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. CoRR (2019)
Changjian Li, Krzysztof Czarnecki
Urban Driving with Multi-Objective Deep Reinforcement Learning. AAMAS (2019)
Jianmei Guo, Jia Hui Liang, Kai Shi, Dingyu Yang, Jingsong Zhang, Krzysztof Czarnecki, Vijay Ganesh, Huiqun Yu
SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product lines. Softw. Syst. Model. 18 (2) (2019)
Krzysztof Czarnecki
Software engineering for automated vehicles: addressing the needs of cars that run on software and data. ICSE (Companion Volume) (2019)
Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki
Analysis of Confident-Classifiers for Out-of-distribution Detection. CoRR (2019)
Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki
Out-of-distribution Detection in Classifiers via Generation. CoRR (2019)
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. Art Sci. Eng. Program. 3 (1) (2019)
Atrisha Sarkar, Krzysztof Czarnecki
A behavior driven approach for sampling rare event situations for autonomous vehicles. CoRR (2019)
Jian Deng, Krzysztof Czarnecki
MLOD: A multi-view 3D object detection based on robust feature fusion method. ITSC (2019)
Atrisha Sarkar, Krzysztof Czarnecki
A behavior driven approach for sampling rare event situations for autonomous vehicles. IROS (2019)
Rick Salay, Krzysztof Czarnecki
Improving ML Safety with Partial Specifications. SAFECOMP Workshops (2019)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Learning a Lattice Planner Control Set for Autonomous Vehicles. IV (2019)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR (2019)
Buu Phan, Samin Khan, Rick Salay, Krzysztof Czarnecki
Bayesian Uncertainty Quantification with Synthetic Data. SAFECOMP Workshops (2019)
Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR (2019)
Matt Angus, Krzysztof Czarnecki, Rick Salay
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. CoRR (2019)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Learning a Lattice Planner Control Set for Autonomous Vehicles. CoRR (2019)
Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki
FANTrack: 3D Multi-Object Tracking with Feature Association Network. IV (2019)
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. CoRR (2018)
Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. CoRR (2018)
Changjian Li, Krzysztof Czarnecki
Urban Driving with Multi-Objective Deep Reinforcement Learning. CoRR (2018)
Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. CoRR (2018)
Krzysztof Czarnecki, Rick Salay
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. SAFECOMP Workshops (2018)
Krzysztof Czarnecki
Requirements Engineering in the Age of Societal-Scale Cyber-Physical Systems: The Case of Automated Driving. RE (2018)
Rick Salay, Krzysztof Czarnecki
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262. CoRR (2018)
Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. ITSC (2018)
Edward Zulkoski, Ruben Martins, Christoph M. Wintersteiger, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh
The Effect of Structural Measures and Merges on SAT Solver Performance. CP (2018)
Jianmei Guo, Dingyu Yang, Norbert Siegmund, Sven Apel, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski, Huiqun Yu
Data-efficient performance learning for configurable systems. Empir. Softw. Eng. 23 (3) (2018)
Edward Zulkoski, Ruben Martins, Christoph M. Wintersteiger, Robert Robere, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh
Learning-Sensitive Backdoors with Restarts. CP (2018)
Jia Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate. IJCAI (2018)
Krzysztof Czarnecki, Dominique Fourer, François Auger, Miroslaw Rojewski
A fast time-frequency multi-window analysis using a tuning directional kernel. Signal Process. 147 (2018)
Ian Colwell, Buu Phan, Shahwar Saleem, Rick Salay, Krzysztof Czarnecki
An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. Intelligent Vehicles Symposium (2018)
Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar
Calibrating Uncertainties in Object Localization Task. CoRR (2018)
Dominique Fourer, François Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick Flandrin
Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical Synchrosqueezing. IEEE Signal Process. Lett. 24 (11) (2017)
Edward Zulkoski, Curtis Bright, Albert Heinle, Ilias S. Kotsireas, Krzysztof Czarnecki, Vijay Ganesh
Combining SAT Solvers with Computer Algebra Systems to Verify Combinatorial Conjectures. J. Autom. Reason. 58 (3) (2017)
Pavel Valov, Jean-Christophe Petkovich, Jianmei Guo, Sebastian Fischmeister, Krzysztof Czarnecki
Transferring Performance Prediction Models Across Different Hardware Platforms. ICPE (2017)
Edward Zulkoski, Ruben Martins, Christoph M. Wintersteiger, Robert Robere, Jia Liang, Krzysztof Czarnecki, Vijay Ganesh
Relating Complexity-theoretic Parameters with SAT Solver Performance. CoRR (2017)
Jordan A. Ross, Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, Krzysztof Czarnecki
Synthesis and Exploration of Multi-level, Multi-perspective Architectures of Automotive Embedded Systems (SoSYM Abstract). MoDELS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Krzysztof Czarnecki