IQBAL, HAFSA
IQBAL, HAFSA
100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni
A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework
2022-01-01 Abrham, Shiferaw; Slavic, Giulia; Iqbal, Hafsa; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo
Clustering optimization for abnormality detection in semi-autonomous systems
2019-01-01 Iqbal, Hafsa; Campo, D.; Baydoun, M.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C.
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving
2021-01-01 Iqbal, H.; Campo Caicedo, D.; Marcenaro, L.; Martin Gomez, D.; Regazzoni, C.
Detection of Abnormal Motion by Estimating Scene Flows of Point Clouds for Autonomous Driving
2021-01-01 Iqbal, H.; Al-Kaff, A.; Marin, P.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C.
Incremental learning of abnormalities in autonomous systems
2019-01-01 Zaal, H.; Iqbal, H.; Campo, D.; Marcenaro, L.; Regazzoni, C. S.
Learning of Geometric-based Probabilistic Self-Awareness Model for Autonomous Agents
2022-05-26 Iqbal, Hafsa
Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR
2022-01-01 Iqbal, H.; Campo, D.; Marin-Plaza, P.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C.
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach
2020-01-01 Iqbal, Hafsa; Damian, Campo; Slavic, Giulia; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework | 1-gen-2022 | Abrham, Shiferaw; Slavic, Giulia; Iqbal, Hafsa; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo | |
| Clustering optimization for abnormality detection in semi-autonomous systems | 1-gen-2019 | Iqbal, Hafsa; Campo, D.; Baydoun, M.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C. | |
| Data-driven transition matrix estimation in probabilistic learning models for autonomous driving | 1-gen-2021 | Iqbal, H.; Campo Caicedo, D.; Marcenaro, L.; Martin Gomez, D.; Regazzoni, C. | |
| Detection of Abnormal Motion by Estimating Scene Flows of Point Clouds for Autonomous Driving | 1-gen-2021 | Iqbal, H.; Al-Kaff, A.; Marin, P.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C. | |
| Incremental learning of abnormalities in autonomous systems | 1-gen-2019 | Zaal, H.; Iqbal, H.; Campo, D.; Marcenaro, L.; Regazzoni, C. S. | |
| Learning of Geometric-based Probabilistic Self-Awareness Model for Autonomous Agents | 26-mag-2022 | Iqbal, Hafsa | |
| Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR | 1-gen-2022 | Iqbal, H.; Campo, D.; Marin-Plaza, P.; Marcenaro, L.; Gomez, D. M.; Regazzoni, C. | |
| Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach | 1-gen-2020 | Iqbal, Hafsa; Damian, Campo; Slavic, Giulia; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo |