Michał R. Nowicki

Michał R. Nowicki

Poznań, Poland
Michał R. Nowicki

Publications

Google Scholar (29.06.2020): h-index: 13, citations: 525
Web of Science (29.06.2020): h-index: 11, citations: 309, citations without self-citations: 218
Journals with Impact Factor (IF):
  1. M. R. Nowicki, „Spatiotemporal Calibration of Camera and 3D Laser Scanner”, IEEE Robotics and Automation Letters (RA-L), 5(4), p. 6451-6458, IF: 3.6, August 2020. IEEE Explore
  2. M. R. Nowicki, and P. Skrzypczyński, „Leveraging Visual Place Recognition to Improve Indoor Positioning with Limited Availability of WiFi Scans”, MDPI Sensors, 19 (17), 3657, IF: 2.475, August 2019. MDPI Open Access
  3. M. R. Nowicki, and P. Skrzypczyński, „A Multi-user Personal Indoor Localization System Employing Graph-based Optimization”, MDPI Sensors, 19(1), 157, IF: 2.475, January 2019. MDPI Open Access
  4. D. Belter, and M. Nowicki, „Optimization-based Legged Odometry and Sensor Fusion for Legged Robot Continuous Localization”, Robotics and Autonomous Systems, p. 110-124, IF: 2.638, January 2019. Elsevier
  5. D. Belter, M. Nowicki, and P. Skrzypczyński, „Modeling spatial uncertainty of point features in feature-based RGB-D SLAM”, Machine Vision and Applications, IF: 1.306, 29(5), p. 827-844, July 2018. Springer Open Access
  6. M. Nowicki, J. Wietrzykowski, and P. Skrzypczyński, „Real-Time Visual Place Recognition for Personal Localization on a Mobile Device”, Wireless Personal Communications, IF: 0.701, 97(1), p. 213-244, November 2017. Springer Open Access, arXiv
  7. M. Nowicki, D. Belter, A. Kostusiak, P. Čížek, J. Faigl, and P. Skrzypczyński, „An Experimental Study On Feature-Based SLAM For Multi-Legged Robots With RGB-D Sensors”, Industrial Robot: An International Journal, 44(4), p. 428-441, IF: 1.096, March 2017. Emerald, Bibtex
  8. M. Kraft, M. Nowicki, A. Schmidt, M. Fularz and P. Skrzypczyński, „Toward evaluation of visual navigation algorithms on RGB-D data from the first- and second-generation Kinect”, Machine Vision and Applications (MVA), IF: 1.272, 28(1), p. 61-74, February 2017. Springer Open Access, Bibtex
  9. M. Kraft, M. Nowicki, R. Penne, A. Schmidt, and P. Skrzypczyński, „Efficient RGB-D data processing for feature-based self-localization of mobile robots”, International Journal of Applied Mathematics and Computer Science (AMCS), 26(1), IF: 1.390, p. 63-79, January 2016. PDF, Bibtex
  10. J. Gośliński, M. Nowicki, and P. Skrzypczyński, „Performance comparison of EKF-based algorithms for orientation estimation on Android platform”, Sensors Journal, IEEE, IF: 1.852, 15(7), p. 3781–3792, July 2015. IEEE Explore, Bibtex
Other journals:
  1. A. Kostusiak, M. Nowicki, P. Skrzypczyński, „On the application of RGB-D SLAM systems for practical localization of the mobile robots”, Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS), 11(2):57-66, 2017. PDF, Bibtex
  2. M. Nowicki, „WiFi-guided visual loop closure for indoor localization using mobile devices”, Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS), 8(3):10–18, 2014. PDF, Bibtex
  3. M. Nowicki, „Porównanie metod opartych na cechach 2D i 3D w zadaniu samolokalizacji robota mobilnego na podstawie danych RGB-D”, Measuremet Automation Monitoring (MAM), (10):845–848, 2014. (in Polish) PDF, Bibtex
  4. M. Nowicki and P. Skrzypczyński, „Experimental verification of a walking robot self-localization system with the Kinect Sensor”, Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS), 7(4):42–51, 2013. PDF, Bibtex
  5. P. Łabęcki, M. Nowicki, and P. Skrzypczyński, „Characterization of a compact laser scanner as a sensor for legged mobile robots”, in Management and Production Engineering Review (MPER), 3(3):45–52, 2012. PDF, Bibtex
Conferences:
  • 2020:
    1. T. Nowak, M. R. Nowicki, K. Ćwian, and P. Skrzypczyński, „Leveraging Object Recognition in Reliable Vehicle Localization from Monocular Images”, Automation 2020: Towards Industry of the Future, Advances in Intelligent Systems and Computing, p. 195-205, Springer International Publishing, 2020. Springer
  • 2019:
    1. T. Nowak, M. R. Nowicki, K. Ćwian, and P. Skrzypczyński, „How to Improve Object Detection in a Driver Assistance System Applying Explainable Deep Learning”, 2019 IEEE Intelligent Vehicles Symposium (IV’19), 2019.
    2. M. R. Nowicki, T. Nowak, and P. Skrzypczyński, „Laser-Based Localization and Terrain Mapping for Driver Assistance in a City Bus”, Automation 2019: Innovations in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing, vol. 920, p. 502-512, Springer International Publishing, 2019. Springer
  • 2018:
    1. M. Nowicki, „Non-metric constraints in the graph-based optimization for personal indoor localization”, 2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), p. 3373-3379, 2018. IEEE Explore
  • 2017:
    1. M. Nowicki, and J. Wietrzykowski, „Low-effort place recognition with WiFi fingerprints using deep learning”, Automation 2017: Innovations in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing, vol. 550, p. 575-584, Springer International Publishing, 2017. Springer, Bibtex, arXiv, Presentation
    2. J. Wietrzykowski, M. Nowicki, and P. Skrzypczyński, „Adopting the FAB-MAP algorithm for indoor localization with WiFi fingerprints”, Automation 2017: Innovations in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing, vol. 550, p. 585-594, Springer International Publishing, 2017. Springer, Bibtex, arXiv, Presentation (prepared by Jan Wietrzykowski)
  • 2016:
    1. M. Nowicki, J. Wietrzykowski and P. Skrzypczyński, „Experimental Evaluation of Visual Place Recognition Algorithms for Personal Indoor Localization”, in International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016), p. 1-8, Alcala de Henares, Spain, 2016. IEEE Explore, Bibtex, Presentation
    2. K. Walas, M. Nowicki, D. Ferstl and P. Skrzypczyński, „Depth Data Fusion for Simultaneous Localization and Mapping – RGB-DD SLAM”, in 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), p. 9-14, Kongresshaus Baden-Baden, Germany, 2016. IEEE Explore, Bibtex
    3. M. Nowicki, M. Rostkowska and P. Skrzypczyński, „Indoor Navigation using QR Codes and WiFi Signals with an Implementation on Mobile Platform”, in IEEE Signal Processing Conference (SPA 2016), p. 156-161, Poznań, Poland, IEEE Explore, Bibtex, Presentation
    4. A. Kostusiak, M. Nowicki, and P. Skrzypczyński, „Analiza przydatności metod RGB-D SLAM do samolokalizacji robotów mobilnych”, in Krajowa Konferencja Robotyki (KKR 2016), Postępy Robotyki, Zeszyty Naukowe Politechniki Warszawskiej, vol. 2, p. 387-396, Oficyna Wydawnicza Politechniki Warszawskiej, September 2016 (in Polish). Bibtex
    5. K. Walas, M. Nowicki, and P. Skrzypczyński, „RGB-DD: Metody łączenia obrazów głębi oraz intensywności przez interpolację i fuzję danych w zadaniu SLAM”, in Krajowa Konferencja Robotyki (KKR 2016), Postępy Robotyki, Zeszyty Naukowe Politechniki Warszawskiej, vol. 2, p. 417-426, Oficyna Wydawnicza Politechniki Warszawskiej, September 2016 (in Polish). Bibtex
    6. D. Belter, and M. Nowicki, „Integracja nowego algorytmu RGB-D SLAM w systemie nawigacji robota kroczącego”, in Krajowa Konferencja Robotyki (KKR 2016), Postępy Robotyki, Zeszyty Naukowe Politechniki Warszawskiej, vol. 2, p. 397-406, Oficyna Wydawnicza Politechniki Warszawskiej, September 2016 (in Polish). Bibtex
    7. D. Belter, A. Kostusiak, M. Nowicki, and P. Skrzypczyński, „Real-time SLAM from RGB-D data on a legged robot: an experimental study”, in the 19th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR 2016), Advances in Cooperative Robotics, 320-328, 2016. Google books, Bibtex
    8. D. Belter, M. Nowicki, and P. Skrzypczyński, „Improving Accuracy of Feature-based RGB-D SLAM by Modeling Spatial Uncertainty of Point Features”, in Robotics and Automation (ICRA), 2016 IEEE International Conference on, p. 1279 – 1284, 2016. IEEE Explore, Bibtex
    9. D. Belter, M. Nowicki, and P. Skrzypczyński, „Evaluating Map-based RGB-D SLAM on an Autonomous Walking Robot”, in Challenges in Automation, Robotics and Measurement Techniques: Proceedings of AUTOMATION-2016, Springer International Publishing, p. 469-481, 2016. Springer, Bibtex
    10. D. Belter, M. Nowicki, and P. Skrzypczyński, „Accurate Map-Based RGB-D SLAM for Mobile Robots”, in Robot 2015: Second Iberian Robotics Conference, Advances in Intelligent and Soft Computing (AISC), Springer International Publishing, p. 533-545, 2016. Springer, Bibtex, Movie
  • 2015:
    1. M. Nowicki and P. Skrzypczyński, „Indoor navigation with a smartphone fusing inertial and WiFi data via factor graph optimization”, in Mobile Computing, Applications, and Services: 7th International Conference, MobiCASE 2015, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), vol. 162, p. 280-298, Springer International Publishing, 2015. Springer, Bibtex, Presentation
    2. M. Nowicki, J. Wietrzykowski, and P. Skrzypczyński, „Simplicity or flexibility? Complementary Filter vs. EKF for orientation estimation on mobile devices”, in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, p. 166–171, June 2015. IEEE Explore, Bibtex, Presentation
    3. J. Wietrzykowski, M. Nowicki, and A. Bondyra, „Exploring OpenStreetMap publicly available information for autonomous robot navigation”, in Progress in Automation, Robotics and Measuring Techniques, Advances in Intelligent Systems and Computing, vol. 351, p. 309–318, Springer International Publishing, Mar. 2015. Springer, Bibtex
    4. A. Bondyra, M. Nowicki, and J. Wietrzykowski, „TAPAS: A robotic platform for autonomous navigation in outdoor environments”, in Progress in Automation, Robotics and Measuring Techniques, Advances in Intelligent Systems and Computing, vol. 351, p. 45–54, Springer International Publishing, Mar. 2015. Springer, Bibtex
    5. D. Belter, M. Nowicki, P. Skrzypczyński, K. Walas, and J. Wietrzykowski, „Lightweight RGB-D SLAM system for search and rescue robots”, in Progress in Automation, Robotics and Measuring Techniques, Advances in Intelligent Systems and Computing, vol. 351, p. 11–21, Springer International Publishing, Mar. 2015. Springer, Bibtex
    6. D. Belter, M. Nowicki, and P. Skrzypczyński, „On the performance of pose-based RGB-D visual navigation systems”, in Computer Vision – Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, vol. 9904, p. 407–423, Springer International Publishing, 2015. Springer, Bibtex, Poster
  • 2014:
    1. K. Walas and M. Nowicki, „Terrain classification using laser range finder”, in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, p. 5003–5009, Sept. 2014. IEEE Explore, Bibtex
    2. A. Roennau, G. Heppner, M. Nowicki, J.M. Zoellner, and R. Dillmann, „Reactive posture behaviors for stable legged locomotion over steep inclines and large obstacles”, in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, p. 4888–4894, Sept. 2014. IEEE Explore, Bibtex, Movie
    3. A. Roennau, G. Heppner, M. Nowicki, and R. Dillmann, „LAURON V: A versatile six-legged walking robot with advanced maneuverability”, in Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME International Conference on, p. 82–87, July 2014. IEEE Explore, Bibtex, Best paper award finalist
    4. M. Nowicki and P. Skrzypczyński, „Performance comparison of point feature detectors and descriptors for visual navigation on android platform”, in International Wireless Communications and Mobile Computing Conference (IWCMC), p. 116–121, Aug. 2014. IEEE Explore, Bibtex, Presentation
    5. M. Kraft, M. Nowicki, A. Schmidt, and P. Skrzypczyński, „Efektywne wykorzystanie danych RGB-D w systemie samolokalizacji na podstawie cech punktowych”, in Krajowa Konferencja Robotyki (KKR 2014), Postępy Robotyki, Prace Naukowe, Elektronika, vol. 1, p. 245–256. Oficyna Wydawnicza Politechniki Warszawskiej, July 2014. (in Polish) Bibtex
    6. M. Fularz, M. Nowicki, and P. Skrzypczyński, „Adopting feature-based visual odometry for resource-constrained mobile devices”, in Image Analysis and Recognition, Lecture Notes in Computer Science, vol. 8815, p. 431–441, Springer International Publishing, 2014. Springer, Bibtex, Presentation
  • 2013:
    1.  A. Schmidt, M. Fularz, M. Kraft, A. Kasiński, and M. Nowicki, „An indoor RGB-D dataset for the evaluation of robot navigation algorithms”, in Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 8192, p. 321–329, Springer International Publishing, 2013. Springer, Bibtex, Poster
    2. M. Nowicki and P. Skrzypczyński, „Robust registration of Kinect range data for sensor motion estimation”, in Proc. 8th International Conference on Computer Recognition Systems (CORES) 2013, Advances in Intelligent Systems and Computing, vol. 226, p. 835–844, Springer International Publishing, May 2013. Springer, Bibtex
    3. M. Nowicki and P. Skrzypczyński, „Combining photometric and depth data for lightweight and robust visual odometry”, in Mobile Robots (ECMR), 2013 European Conference on, p. 125–130, Sept. 2013. IEEE Explore, Bibtex, Presentation
  • 2012:
    1. M. Nowicki and P. Skrzypczyński, „Eksperymentalna weryfikacja metody samolokalizacji robota kroczącego z sensorem Kinect”, in Krajowa Konferencja Robotyki (KKR 2012), Postępy Robotyki, Zeszyty Naukowe Politechniki Warszawskiej, vol. 2, p. 561–572. Oficyna Wydawnicza Politechniki Warszawskiej, July 2012. (in Polish) Bibtex
    2. P. Łabęcki, M. Nowicki, and P. Skrzypczyński, „Characterization of the measurement errors in a miniature laser scanner for walking robots”, in Adaptive Mobile Robotics, chapter 94, p. 739–746, July 2012. Google books, Bibtex
Theses:
  1. M. Nowicki, „Methods for the fusion of quantitative and qualitative information using factor graph optimization for the simultaneous localization and mapping problem”, PhD thesis, supervisor: P. Skrzypczyński, Ph.D, 2018. PDF
  2. M. Nowicki, „Development and implementation of a visual odometry algorithm for mobile devices”, MSc thesis, Automatic Systems and Robotics, supervisor: P. Skrzypczyński, Ph.D, 2014. PDF Bibtex
  3. M. Nowicki, O. Pilarczyk, J. Wąsikowski, and K. Zjawin, „Gesture recognition library for Leap Motion controller”, BSc thesis, Computing, supervisor: W. Jaśkowski, Ph.D, 2014. PDF Bibtex
  4. M. Nowicki, „Metody wykrywania i opisu punktów kluczowych na obrazach RGB-D”, Automatic Systems and Robotics, supervisor: P. Skrzypczyński, Ph.D, 2013. PDF Bibtex