IoSense Publications


Antonopoulos, A., & Verikoukis, C. (2017). COPS: Cooperative Statistical Misbehavior Mitigation in Network-Coding-aided Wireless Networks. IEEE Transactions on Industrial Informatics. doi:10.1109/TII.2017.2754579

Artuñedo, A., del Toro, R. M., & Haber, R. E. (2017). Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks. Sensors. doi:10.3390/s17050953

Baumgart, M., Consani, C., Dielacher, M., & Druml, N. (2017). Optical simulation of Time-of-Flight sensor accuracy in rain. CLEO/Europe-EQEC conference. Munich.

Baumgart, M., Dielacher, M., Druml, N., & Consani, C. (2017). Simulating Rain Droplets Influence on Distance Measurement with a Time-of-Flight Camera Sensor. Eurosensors. Paris. doi:10.3390/proceedings1040287

Castaño, F., Beruvides, G., Haber, R. E., & Artuñedo, A. (2017). Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System. Sensors. doi:10.3390/s17092109

Castaño, F., Beruvides, G., Haber, R. E., & Villalonga, A. (2017). Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications. 5th International Symposium on Sensor Science (i3s). Barcelona. doi:10.3390/proceedings1080809

Faller, L.-M., & Zangl, H. (2017). Considerations on pre-stress in a 3D-printed capacitive force/pressure sensor. 18th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). Dresden: IEEE. doi:10.1109/EuroSimE.2017.7926279

Granig, W., Hammerschmidt, D., & Zangl, H. (2017). Calculation of Failure Detection Probability on Safety Mechanisms of Correlated Sensor Signals According to ISO 26262. SAE International Journal of Passenger Cars – Electronic and Electrical Systems, 144-155. Von https://doi.org/10.4271/2017-01-0015 abgerufen

Granig, W., Hammerschmidt, D., & Zangl, H. (2017). Diagnostic Coverage Estimation Method for Optimization of Redundant Sensor Systems. IEEE Sensors. Glasgow.

Lattarulo, R., Perez, J., & Dendaluce, M. (2017). A Complete Framework for Developing and Testing Automated Driving Controllers. IFAC 2017 World Congress. Toulouse.

Manz, J., Bosetti, G., Dehé, A., & Schrag, G. (2017). A novel silicon “star-comb” microphone concept for enhanced signal-to-noise-ratio: Modeling, design and first prototype. 19th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS). Kaohsiung. doi:10.1109/TRANSDUCERS.2017.7993989

Thomas W. Pieber, Thomas Ulz, Christian Steger, & Rainer Matischek. (2017). Hardware Secured, Password-based Authentication for Smart Sensors for the Industrial Internet of Things. International Conference on Network and System Security (NSS) (S. 632-642). Springer, Cham. Von https://doi.org/10.1007/978-3-319-64701-2_50 abgerufen

Ulz, T., Pieber, T., Steger, C., Haas, S., Bock, H., & Matischek, R. (2017). Bring your own key for the industrial Internet of Things. IEEE International Conference on Industrial Technology (ICIT). Toronto: IEEE. doi:10.1109/ICIT.2017.7915575

Ulz, T., Pieber, T., Steger, C., Haas, S., Matischek, R., & Bock, H. (2017). Sneakernet on wheels: Trustworthy NFC-based robot to machine communication. IEEE International Conference on RFID Technology & Application (RFID-TA). Warsaw: IEEE. doi:10.1109/RFID-TA.2017.8098906

Ulz, T., Steger, C., Bock, H., & Ruprechter, T. (2017). SecureConfig: NFC and QR-Code based Hybrid Approach for Smart Sensor Configuration. IEEE RFID Conference. Phoenix.

van Driel, W. D., Jacobs, B., Schenkelaars, D., Poelma, R., El Mansouri, B., & Middelburg, L. M. (2017). Prognostics & Health Management for LED-based Applications. EuroSimE. Dresden.

Wenig, F., Klanatsky, P., Heschl, C., Mateis, C., & Dejan, N. (2017). Exponential pattern recognition for deriving air change rates from CO2 data. IEEE 26th International Symposium on Industrial Electronics (ISIE). Edinburgh: IEEE. doi:10.1109/ISIE.2017.8001469

Zangl, H., Faller, L.-M., & Granig, W. (2017). Optimal design of angular position sensors. COMPEL.

Zendel, O., Honauer, K., Murschitz, M., Humenberger, M., & Domínguez, G. F. (2017). Analyzing Computer Vision Data — The Good, the Bad and the Ugly. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE. doi:10.1109/CVPR.2017.706