Publications

Publications

    • Cledat, E., Cucci, D. A., and Skaloud, J. (2020b). Camera calibration models and methods for corridor mapping with UAVs. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2020:231-238
    • Cledat, E., Jospin, L. V., Cucci, D. A., and Skaloud, J. (2020a). Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment. SPRS Journal of Photogrammetry and Remote Sensing, 167:24-38
    • Cucci, D. A. and Skaloud, J. (2019). On raw inertial measurements in dynamic networks. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W5:549-557
    • Jospin, L., Stoven-Dubois, A., and Cucci, D. A. (2019). Photometric long-range positioning of led targets for cooperative navigation in uavs. Drones, 3(3):69
    • Cucci, D. A., Rehak, M., and Skaloud, J. (2017b). Bundle adjustement with raw intertial observations in UAV applications. ISPRS Journal of Photogrammetry and Remote Sensing, 130:1-12
    • Cledat, E. and Cucci, D. A. (2017). Mapping GNSS restricted environments with a drone tandem and indirect position control. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W3:1-7
    • Molina, P., Blázquez, M., Cucci, D. A., and Colomina, I. (2017). First results of a tandem terrestrial-unmanned aerial mapkite system with kinematic ground control points for corridor mapping. Remote Sensing, 9(1):60
    • Cucci, D. A. (2016). Accurate optical target pose determination for applications in aerial photogrammetry. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-3:257-262
    • Cucci, D. A. and Matteucci, M. (2014a). On the development of a generic multi-sensor fusion framework for robust odometry estimation. Journal of Software Engineering for Robotics, 5(1):48-62

Conference Proceedings

    • Stoven-Dubois, A., Jospin, L., and Cucci, D. A. (2018). Cooperative navigation for an UAV tandem in GNSS denied environments. In Proceedings of the 31th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018). The Institute of Navigation (ION)
    • Cucci, D. A., Clausen, P., Skaloud, J., and Matteucci, M. (2017a). A general approach to time-varying parameters in pose-graph optimization. In Navigation (ENC), 2017 European Conference, pages 265-271. IEEE
    • Cucci, D. A., Crespillo, O. G., and Khaghani, M. (2016a). An analysis of a gyro-free inertial system for INS/GNSS navigation. In Navigation Conference (ENC), 2016 European, pages 1-7. IEEE
    • Cucci, D. A., Matteucci, M., and Bascetta, L. (2016b). Pose tracking and sensor self-calibration for an all-terrain autonomous vehicle. IFAC-PapersOnLine, 49(15):25 - 31. 9th IFAC Symposium on Intelligent Autonomous Vehicles IAV 2016
    • Cucci, D. A., Migliavacca, M., Bonarini, A., and Matteucci, M. (2016c). Development of mobile robots using off-the-shelf open-source hardware and software components for motion and pose tracking. In Intelligent Autonomous Systems 13, pages 1451-1465. Springer International Publishing
    • Bascetta, L., Cucci, D. A., and Matteucci, M. (2016). Kinematic trajectory tracking controller for an all-terrain ackermann steering vehicle. IFAC-PapersOnLine, 49(15):13 - 18. 9th IFAC Symposium on Intelligent Autonomous Vehicles IAV 2016
    • Cucci, D. A., Constantin, D., and Rehak, M. (2015). Smile targets in aerial photogrammetry. In IMAV 2015 International Micro Air Vehicle Conference and Competition 2015, volume 54
    • D'Amelio, E. L., Bascetta, L., Cucci, D. A., Matteucci, M., and Bardaro, G. (2015). A modelica simulator to support the development of the control system of an autonomous all-terrain mobile robot. IFAC-PapersOnLine, 48(1):274 - 279. 8th Vienna International Conferenceon Mathematical Modelling
    • 2014 Cucci, D. A. and Matteucci, M. (2014b). Position tracking and sensors self-calibration in autonomous mobile robots by gauss-newton optimization. In Robotics and Automation (ICRA), 2014 IEEE International Conference on, pages 1269-1275. IEEE
    • Bardaro, G., Cucci, D. A., Bascetta, L., and Matteucci, M. (2014). A simulation based architecture for the development of an autonomous all terrain vehicle. In Simulation, Modeling, and Programming for Autonomous Robots, pages 74-85. Springer
    • Cucci, D. A. and Matteucci, M. (2013). A flexible framework for mobile robot pose estimation and multi-sensor self-calibration. In International Conference on Informatics in Control, Automation and Robotics (ICINCO), pages 361-368
    • Cucci, D. A., Malagò, L., and Matteucci, M. (2012). Variable transformations in estimation of distribution algorithms. In Parallel Problem Solving from Nature-PPSN XII, pages 428-437. Springer Berlin Heidelberg
    • Bascetta, L., Cucci, D. A., Magnani, G., Matteucci, M., Osmankovic, D., and Tahirovic, A. (2012). Towards the implementation of a mpc-based planner on an autonomous all-terrain vehicle. Proceedings of Workshop on Robot Motion Planning:Online, Reactive, and in Real-time (IEEE/RJS IROS 2012), pages 1-7
    • Corsano, E., Cucci, D. A., Malagò, L., and Matteucci, M. (2012). Implicit model selection based on variable transformations in estimation of distribution. In Learning and Intelligent Optimization, pages 360-365. Springer Berlin Heidelberg

Submitted Manuscripts

    • Cledat, E., Rufener, M., and Cucci, D. A. (2020c). Compensating over- and underexposure in optical target pose determination. Pattern Recognition, (Minor revisions, resubmitted)
    • Bakalli, G., Cucci, D. A., Radi, A., El-Sheimy, N., Molinari, R., Scaillet, O., Victoria-Feser, M., and Guerrier, S. (2020). Multi-signal moment-based approaches for repeated sampling schemes. (Submitted)

Working Papers

    • Cucci, D. A., Khaghani, M., and Guerrier, S. (2020a). Rigorous stochastic calibration of inertial and positioning sensors
    • Cucci, D. A., Strano, E., and Corroyer, L. (2020b). Street-view surveys to model degraded neighbourhoods in south-Saharan Africa
    • Joseph Paul, K., Cucci, D. A., and Skaloud, J. (2020). A comparison of force, torque and RPM sensors for vehicle dynamic modeling in dynamic networks
    • Karemera, M., Voirol, L., Chu, W., Molinari, R., Cucci, D. A., and Guerrier, S. (2020). Modeling and estimation of rotation-induced sinusoidal disturbances in inertial sensors