Team
Team
Embedded Files
Postdocs
Postdocs
"Federated learning for autonomous vehicle perception"
PhDs
PhDs
"Self-supervised sensor fusion and robustness to sensor failure"
(co-promoter, with Dr. Julian Kooij)
"Efficient learning for environment perception"
(co-promoter, with Prof. Dariu Gavrila)
"Lidar-based Perception for Traffic and Infrastructure Assessment on Smart Bicycles"
(co-promoter, with Dr. Julian Kooij, Industrial PhD with Salzburg Research)
"Foundation models for radar-based AV perception"
(co-promoter, with Prof. Dariu Gavrila)
Visitors
Visitors
Former team members
Former team members
"Panoptic scene graph generation"
(PhD, co-supervised with Prof. Miaojing Shi, King's college)
"Modeling bicycle behavior from visual stimulus to neuromuscular control ability"
(PostDoc, with Dr. Jason Moore)
Former visitors
Former visitors
"Semantic occupancy prediction from camera and radar"
(Visitor from University of Alcalá, Spain)
"Cross-view pose estimation"
(Visitor from Universitas Miguel Hernandez, Spain)
"Domain adaptation for bridging the sim2real gap"
(Visitor from Gazi University, Turkey)
Master thesis students (by graduation year)
Master thesis students (by graduation year)
2026
Aleksander Seremak, End-to-end planning for bicycles
Alexandros Theocharous, Crash scenario generation for closed-loop simulation
Daan Scherrenburg, "Maritime Dock Detection using Camera" (with Damen) [thesis]
Denniz Goren, "Online LiDAR Semantic Segmentation for Bicycles" [thesis]
Fedde Jorritsma, Development of a sensor box for maritime perception (with Dr. Yusong Pang)
Hanzhang Guo, "Speed control methods for autonomous vehicles at the boundaries of the operational design domain" (with Dr. Gonçalo Correia) [thesis]
Hugo Chassagnette, Semantics in Gaussian Splatting
Jolle Verhoog, Federated learning
Mats van der Gulik, Forecaster error sensitivity analysis for energy markets
Paul Mignot, Autolabeling of autonomous vehicle data
Prajwal Chougule, Group and map priors
Ricardo Ramautar, Federated learning
Thijn Dolle, TBD (with Prof. Riender Happee)
2025
Andy Huynh, "Material-informed Gaussian Splatting for 3D World Reconstruction in Digital Twin" (with Siemens) [thesis]
Jimmie Kwok, TBD (with Perciv.ai) [paper]
Lars Bosma, GaussianFusion++: Adaptive Radar–Camera Fusion for Maritime 3D Detection (with RH Marine) [thesis]
Lucas Kroes, "Towards Mutation Delineation of Maps Using Aerial Imagery" (with Geronimo.ai) [thesis]
Manan Lohani, "Low-Level Radar-based Semantic Road Segmentation for Ground Robots" (with Perciv.ai) [thesis]
Remco Huijsen, "Autonomous Vehicle Sensor Placement Optimisation Using Differentiable Rendering" (with Dr. Michael Weinmann) [thesis]
Roel Webb, "Towards Arbitrary Local Editing of Neural 3D Shape Representations" (with Dr. Chirag Raman) [thesis]
Tim den Blanken, "SPiCE: Self-supervised Predictive Coding on Events" (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"
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