Research output per year
Research output per year
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Dive into the research topics where D. Gavrila is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multi-Class Trajectory Prediction in Urban Traffic Using the View-of-Delft Prediction Dataset
Boekema, H. J. H., Martens, B. K. W., Kooij, J. F. P. & Gavrila, D. M., 2024, In: IEEE Robotics and Automation Letters. 9, 5, p. 4806-4813 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile18 Downloads (Pure) -
See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar
Roldan, I., Palffy, A., Kooij, J. F. P., Gavrila, D. M., Fioranelli, F. & Yarovoy, A., 2024, Proceedings of the 2024 IEEE Radar Conference (RadarConf24). Piscataway: IEEE, 6 p. (Proceedings of the IEEE Radar Conference).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
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Detecting darting out pedestrians with occlusion aware sensor fusion of radar and stereo camera
Palffy, A., Kooij, J. F. P. & Gavrila, D. M., 2023, In: IEEE Transactions on Intelligent Vehicles. 8, 2, p. 1459-1472Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Citations (Scopus)87 Downloads (Pure) -
Globally Guided Trajectory Planning in Dynamic Environments
de Groot, O. M., Ferranti, L., Gavrila, D. & Alonso-Mora, J., 2023, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2023). IEEE, p. 10118-10124Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile1 Citation (Scopus)39 Downloads (Pure) -
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
Ding, F., Palffy, A., Gavrila, D. & Lu, C. X., 2023, Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). O'Conner, L. (ed.). Piscataway: IEEE, p. 9340-9349 10 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile49 Downloads (Pure)
Datasets
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RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset
Palffy, A. (Creator), Fioranelli, F. (Creator), Gavrila, D. (Creator), Kooij, J. F. P. (Creator), Roldan Montero, I. (Creator), Yuan, S. (Creator), Zhu, S. (Creator) & Yarovoy , A. (Creator), TU Delft - 4TU.ResearchData, 28 May 2024
DOI: 10.4121/4E277430-E562-4A7A-ADFE-30B58D9A5F0A
Dataset/Software: Dataset
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Supplementary data for the paper 'Towards the detection of driver–pedestrian eye contact'
Onkhar, V. (Creator), Bazilinskyy, P. (Creator), Stapel, J. C. J. (Creator), Dodou, D. (Creator), Gavrila, D. (Creator) & de Winter, J. C. F. (Creator), TU Delft - 4TU.ResearchData, 21 Aug 2021
DOI: 10.4121/15134037
Dataset/Software: Dataset
Press/Media
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Toekomstbeloftes: Dit is er van de futuristische voorspellingen voor 2020 terechtgekomen
3/01/20
1 item of Media coverage
Press/Media: Public Engagement
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Zelfrijdende auto kan gedrag van voetgangers voorspellen
9/08/19
1 item of Media coverage
Press/Media: Public Engagement
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Zelf je auto besturen wordt het nieuwe roken
1/01/18 → 1/01/18
2 items of Media coverage
Press/Media: Public Engagement
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Techniek: Waardoor de zelfrijdende auto zakt voor zijn rijexamen.
2/09/17
1 Media contribution
Press/Media: Public Engagement
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Opening Researchlab Automated Driving Delft (RADD)
28/06/17
1 item of Media coverage
Press/Media: Public Engagement