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Tommaso Benciolini
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2020 – today
- 2024
- [i4]Tommaso Benciolini, Yuntian Yan, Dirk Wollherr, Marion Leibold:
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving. CoRR abs/2402.00697 (2024) - [i3]Tommaso Benciolini, Michael Fink, Nehir Güzelkaya, Dirk Wollherr, Marion Leibold:
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants. CoRR abs/2406.13396 (2024) - 2023
- [j1]Tommaso Benciolini
, Dirk Wollherr
, Marion Leibold
:
Non-Conservative Trajectory Planning for Automated Vehicles by Estimating Intentions of Dynamic Obstacles. IEEE Trans. Intell. Veh. 8(3): 2463-2481 (2023) - [i2]Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan:
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. CoRR abs/2311.01993 (2023) - 2021
- [c2]Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. ITSC 2021: 417-423 - [i1]Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. CoRR abs/2107.00529 (2021) - 2020
- [c1]Tommaso Benciolini, Tommaso Grigoletto, Mattia Zorzi
:
Image compression by means of the multidimensional circulant covariance extension problem - Revisited. CDC 2020: 280-285
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