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Bare Luka Žagar
Bare Luka Žagar
Technical University of Munich - Chair of Robotics, Artificial Intelligence and Real-time Systems
Подтвержден адрес электронной почты в домене tum.de - Главная страница
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Процитировано
Процитировано
Год
New Metrics for Industrial Depth Sensors Evaluation for Precise Robotic Applications*
KP Cop, A Peters, BL Žagar, D Hettegger, AC Knoll
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
162021
Vision language models in autonomous driving and intelligent transportation systems
X Zhou, M Liu, BL Zagar, E Yurtsever, AC Knoll
arXiv preprint arXiv:2310.14414, 2023
142023
RT-DLO: Real-time deformable linear objects instance segmentation
A Caporali, K Galassi, BL Žagar, R Zanella, G Palli, AC Knoll
IEEE Transactions on Industrial Informatics, 2023
92023
Analysis of Randomization Effects on sim2real transfer in reinforcement learning for robotic manipulation tasks
J Josifovski, M Malmir, N Klarmann, BL Žagar, N Navarro-Guerrero, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
92022
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
M Liu, E Yurtsever, X Zhou, J Fossaert, Y Cui, BL Zagar, AC Knoll
arXiv preprint arXiv:2401.01454, 2024
72024
Point cloud registration with object-centric alignment
BL Žagar, E Yurtsever, A Peters, AC Knoll
Ieee Access 10, 76586-76595, 2022
72022
Copy and Paste Augmentation for Deformable Wiring Harness Bags Segmentation
BL Žagar, A Caporali, A Szymko, P Kicki, K Walas, G Palli, AC Knoll
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2023
12023
Targetless extrinsic calibration between event-based and rgb camera for intelligent transportation systems
C Creß, E Schütz, BL Žagar, AC Knoll
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
12023
Real-time instance segmentation of pedestrians using transfer learning
BL Žagar, T Preintner, AC Knoll, E Yurtsever
2022 27th International Conference on Automation and Computing (ICAC), 1-6, 2022
12022
3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark
BL Žagar, T Hertel, M Liu, E Yurtsever, ALC Knoll
arXiv preprint arXiv:2310.08904, 2023
2023
Automated Feature Recognition in Surface Cad Models Based on Graph Neural Networks
SA Böhm, BL Zagar, F Riß, C Kortüm, AC Knoll
Available at SSRN 4772779, 0
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Статьи 1–11