Researcher
David Van Hamme
- Disciplines:Communications technology, Communications
Affiliations
- Department of Industrial Technology and Construction (Department)
Member
From1 Oct 2013 → 31 May 2015 - Department of Telecommunications and information processing (Department)
Member
From1 Sep 2007 → Today
Publications
1 - 10 of 26
- Deep learning tone-mapping and demosaicing for automotive vision systems(2023)
Authors: Ana Stojkovic, Jan Aelterman, David Van Hamme, Ivana Shopovska, Wilfried Philips
- Low-complexity deep HDR fusion and tone mapping for urban traffic scenes(2023)
Authors: Ivana Shopovska, Jan Aelterman, David Van Hamme, Wilfried Philips
Number of pages: 1 - Segmentation of range-azimuth maps of FMCW radars with a deep convolutional neural network(2023)Volume: 14124
Authors: Pieter Meiresone, David Van Hamme, Wilfried Philips, Jaques Blanc-Talon, Patrice Delmas, Paul Scheunders
Pages: 136 - 147 - Bayesian optimisation of existing object detection methods for new contexts(2023)
Authors: Tim Willems, Jan Aelterman, David Van Hamme
Number of pages: 1 - Joint probabilistic data fusion for pedestrian detection in multimodal images(2023)
Authors: Zuhaib Ahmed, David Van Hamme, Peter Veelaert, Wilfried Philips
Pages: 1 - 4 - Perception system based on cooperative fusion of lidar and cameras(2022)
Authors: Martin Dimitrievski, David Van Hamme, Wilfried Philips
Number of pages: 1 - Ego-motion estimation with a low power millimeter wave radar on a UAV(2022)
Authors: Pieter Meiresone, David Van Hamme, Wilfried Philips, Tim Verbelen
Pages: 371 - 376 - Automatic labeling of vulnerable road users in multi-sensor data(2021)
Authors: Martin Dimitrievski, Ivana Shopovska, David Van Hamme, Peter Veelaert, Wilfried Philips
Pages: 2623 - 2630 - Cooperative multi-sensor tracking of vulnerable road users in the presence of missing detections(2020)
Authors: Martin Dimitrievski, David Van Hamme, Peter Veelaert, Wilfried Philips
- Weakly supervised deep learning method for vulnerable road user detection in FMCW radar(2020)
Authors: Martin Dimitrievski, Ivana Shopovska, David Van Hamme, Peter Veelaert, Wilfried Philips
Number of pages: 1
Patents
1 - 2 of 2