Antonio Loquercio
Antonio Loquercio
PostDoc, University of California at Berkeley
Verified email at - Homepage
Cited by
Cited by
Event-based vision meets deep learning on steering prediction for self-driving cars
AI Maqueda, A Loquercio, G Gallego, N García, D Scaramuzza
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Dronet: Learning to fly by driving
A Loquercio, AI Maqueda, CR Del-Blanco, D Scaramuzza
IEEE Robotics and Automation Letters 3 (2), 1088-1095, 2018
A General Framework for Uncertainty Estimation in Deep Learning
A Loquercio, M Segu, D Scaramuzza
IEEE Robotics and Automation Letters 5 (2), 3153-3160, 2020
End-to-End Learning of Representations for Asynchronous Event-Based Data
D Gehrig, A Loquercio, KG Derpanis, D Scaramuzza
IEEE International Conference on Computer Vision (ICCV), 2019
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
D Palossi, A Loquercio, F Conti, E Flamand, D Scaramuzza
IEEE Internet of Things Journal, 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
A Loquercio, E Kaufmann, R Ranftl, A Dosovitskiy, V Koltun, ...
IEEE Transaction on Robotics (T-RO), 2019
Learning high-speed flight in the wild
A Loquercio, E Kaufmann, R Ranftl, M Müller, V Koltun, D Scaramuzza
Science Robotics 6 (59), eabg5810, 2021
Flightmare: A Flexible Quadrotor Simulator
Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza
Conference on Robot Learning (CORL), 2020
Deep drone racing: Learning agile flight in dynamic environments
E Kaufmann, A Loquercio, R Ranftl, A Dosovitskiy, V Koltun, ...
Conference on Robot Learning, 133-145, 2018
Champion-level drone racing using deep reinforcement learning
E Kaufmann, L Bauersfeld, A Loquercio, M Müller, V Koltun, ...
Nature 620 (7976), 982-987, 2023
Deep Drone Acrobatics
E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza
Robotics: Science and System (RSS), 2020
Unsupervised Moving Object Detection via Contextual Information Separation
Y Yang, A Loquercio, D Scaramuzza, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Event-based Asynchronous Sparse Convolutional Networks
N Messikommer, D Gehrig, A Loquercio, D Scaramuzza
European Conference on Computer Vision (ECCV), 2020
Primal-dual mesh convolutional neural networks
F Milano, A Loquercio, A Rosinol, D Scaramuzza, L Carlone
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight
P Foehn, E Kaufmann, A Romero, R Penicka, S Sun, L Bauersfeld, ...
Science Robotics, 2022
Autonomous Drone Racing: A Survey
D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ...
arXiv preprint arXiv:2301.01755, 2023
Visual attention prediction improves performance of autonomous drone racing agents
C Pfeiffer, S Wengeler, A Loquercio, D Scaramuzza
Plos one 17 (3), e0264471, 2022
AutoTune: Controller Tuning for High-Speed Flight
A Loquercio, A Saviolo, D Scaramuzza
arXiv preprint arXiv:2103.10698, 2021
Learning visual locomotion with cross-modal supervision
A Loquercio, A Kumar, J Malik
2023 IEEE International Conference on Robotics and Automation (ICRA), 7295-7302, 2023
Place recognition in semi-dense maps: Geometric and learning-based approaches
Y Ye, T Cieslewski, A Loquercio, D Scaramuzza
British Machine Vision Conference (BMVC), 1-8, 2017
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