"Modeling bicycle behavior from visual stimulus to neuromuscular control ability"
(with Dr. Jason Moore)
"Federated learning for autonomous vehicle perception"
"Self-supervised sensor fusion and robustness to sensor failure"
(co-supervised, with Dr. Julian Kooij)
"Panoptic scene graph generation"
(co-supervised, with Prof. Miaojing Shi, King's college)
"Efficient learning for environment perception"
(co-promoter, with Prof. Dariu Gavrila)
"Lidar-based Perception for Traffic and Infrastructure Assessment on Smart Bicycles"
(Industrial PhD with Salzburg Research)
"Foundation models for radar-based AV perception"
(co-supervised, with Prof. Dariu Gavrila)
"Domain adaptation for bridging the sim2real gap"
(Visitor from Gazi University, Turkey)
"Semantic occupancy prediction from camera and radar"
(Visitor from University of Alcalá, Spain)
"Cross-view pose estimation"
(Visitor from Universitas Miguel Hernandez, Spain)
2025
Aleksander Seremak, TBD
Andy Huynh, TBD (with Siemens)
Daan Scherrenburg, "Maritime Dock Detection using Camera"(with Damen) [thesis]
Denniz Goren, "Online LiDAR Semantic Segmentation for Bicycles" [thesis]
Hanzhang Guo, "Speed control methods for autonomous vehicles at the boundaries of the operational design domain" (with Dr. Gonçalo Correia) [thesis]
Hugo Chassagnette, TBD
Jimmie Kwok, TBD (with Perciv.ai)
Lars Bosma, GaussianFusion++: Adaptive Radar–Camera Fusion for Maritime 3D Detection (with RH Marine)
Lucas Kroes, "Towards Mutation Delineation of Maps Using Aerial Imagery" (with Geronimo.ai) [thesis]
Manan Lohani, TBD (with Perciv.ai)
Mats van der Gulik, TBD
Remco Huijsen, "Autonomous Vehicle Sensor Placement Optimisation Using Differentiable Rendering" (with Dr. Michael Weinmann) [thesis]
Roel Webb, TBD (with Dr. Chirag Raman)
Tim den Blanken, TBD (with Prof. de Croon)
Tim Rood, "Linguistic Typology as a Predictor of Multilingual Large Language Model Trustworthiness: A Modeling and Correlation Analysis" [thesis]
2024
David Ninfa, "4DRC-OCC: Robust Semantic Occupancy Prediction Through Fusion of 4D Radar and Camera" (with Perciv.ai) [thesis]
Floris Krijgsman, "Prediction of heat transfer coefficient of supercritical CO2 in an upward heated tube" (with Prof. Rene Pecnik and Dr. Jurriaan Peeters) [thesis]
Jan Peter Simons, "SenseBike Dataset - Addressing LiDAR Domain Gaps through the Introduction of a Novel Dataset from a Bicycle's Perspective" [thesis]
Jiaxuan Chen, "RMSNet: Real, Moving, and Semantic Segmentation of Radar Point Clouds" (with Perciv.ai) [thesis]
Joost Zaalberg, "Reducing the Sim-to-Real Gap: Lidar-Based 3D Static Environment Reconstruction" [thesis]
Marnix Enting, "3D Scene Compression for Autonomous Driving using Neural Radiance Fields" (with Dr. Michael Weinmann) [thesis]
Pelle Wiersma, "Smart drone positioning for drone-to-vehicle communication" [thesis]
Robin Gerster, "Person detection in multispectral imagery" (with Hensoldt) [paper]
Simon Gebraad, "A drone perspective on Camera-LiDAR Semantic Scene Understanding" (with Perciv.ai) [paper]
Tibbe Lukkassen, "MultiViT: 2D to 3D transfer learning using a jointly optimized Vision Transformer without the need for image labels" [thesis]
Yohan Le Gars, "Multi Object Tracking for Unmanned Surface Vessels using LiDAR-AIS Fusion" (with Demcon Unmanned Systems) [thesis]
2023
Emma Allemekinders, "Human Identification Using Automotive Radar" [thesis]
Femke Middelhoek, "Stereo Pointclouds for Safety Monitoring of Port Environments" (with TNO) [thesis]
Jiarong Wei, "BaSAL: Class Balanced Warm Start Active Learning for LiDAR Semantic Segmentation" [thesis, paper]
Marcus Malak, "Horus: Drone-assisted autonomous vehicles" [thesis]
Marie Humblet Vertongen, "From points to faces: An automotive lidar-based face recognition system" [thesis]
Pim de Ruijter, "Aircraft component health analysis for predictive maintenance" (with KLM) [thesis]
Stijn Lafontaine, "Robotic Grasping from Supermarket Shelves using Visual Servoing" (with Airlab / Albert Heijn, Prof. Martijn Wisse) [thesis]
Tobias Hoek, "Scenario classification from sensor data" (with Kognic) [thesis, paper]
Tishar Sinha, "Zero-shot and Few-shot Learning for 3D Object Detection Using Language Model" (with Kognic)
Willem van der Fliet, "Building Opening Detection in Urban Point Clouds" (with Amsterdam Intelligence) [thesis]
Xianzhong (Stan) Liu, "Offline tracking with object permanence" [thesis, paper]
2022
Chinmay Polya Ramesh, "Enriching Diversity of Synthetic Images for Algorithm Development"