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Daniel D Selvaratnam
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Online optimization using zeroth order oracles
I Shames, D Selvaratnam, JH Manton
IEEE Control Systems Letters 4 (1), 31-36, 2019
162019
A random finite set approach to occupancy-grid SLAM
B Ristic, D Angley, D Selvaratnam, B Moran, JL Palmer
2016 19th International Conference on Information Fusion (FUSION), 935-941, 2016
112016
Numerical optimisation of time-varying strongly convex functions subject to time-varying constraints
DD Selvaratnam, I Shames, JH Manton, M Zamani
2018 IEEE Conference on Decision and Control (CDC), 849-854, 2018
92018
Co-operative estimation for source localisation using binary sensors
Daniel D. Selvaratnam, Iman Shames, Dimos V. Dimarogonas, Jonathan H. Manton ...
Decision and Control (CDC), 2017 IEEE 56th Annual Conference on, 2017
9*2017
Sampling polynomial trajectories for LTL verification
D Selvaratnam, M Cantoni, JM Davoren, I Shames
Theoretical Computer Science 897, 135-163, 2022
52022
MITL Verification Under Timing Uncertainty
D Selvaratnam, M Cantoni, JM Davoren, I Shames
arXiv preprint arXiv:2204.10493, 2022
32022
Source localisation using binary measurements
DD Selvaratnam, I Shames, JH Manton, B Ristic
arXiv preprint arXiv:1711.10153, 2017
12017
The effect of sensor modality on posterior Cramer-Rao bounds for simultaneous localisation and mapping
DD Selvaratnam, I Shames, B Ristic, JH Manton
IFAC-PapersOnLine 49 (15), 242-247, 2016
12016
Lazy Probabilistic Roadmaps Revisited
M Ramirez, D Selvaratnam, C Manzie
arXiv preprint arXiv:2209.14471, 2022
2022
Explicit Time-Optimal Acceleration-Constrained Speed Profiles for Planar Paths with Monotone Curvature
D Selvaratnam, M Cantoni, C Manzie
arXiv preprint arXiv:2208.12135, 2022
2022
Efficient algorithms for autonomous agents facing uncertainty
DD Selvaratnam
University of Melbourne, 2019
2019
Security Analysis of Quantized Bayesian Estimators
F Farokhi, DD Selvaratnam, I Shames
The 23rd International Symposium on Mathematical Theory of Networks and Systems, 2018
2018
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Artículos 1–12