Holger Caesar's Homepage

Team

"Self-supervised learning and prior knowledge"

"Modeling bicycle behavior from visual stimulus to neuromuscular control ability"

(with Dr. Jason Moore)

"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)

"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)

"4D radar-based object detection"

(Visitor from TUM, Germany)

2025

Aleksander Seremak, TBD
Alexandros Theocharous, TBD
Andy Huynh, TBD (with Siemens)
Daan Scherrenburg, TBD (with Damen)
Denniz Goren, "Real-time lidar segmentation from a bicycle"
Hanzhang Guo, "Speed control methods for autonomous vehicles at the boundaries of the operational design domain" (with Dr. Gonçalo Correia)
Hugo Chassagnette, TBD
Jimmie Kwok, TBD (with Perciv.ai)
Lars Bosma, TBD (with RH Marine)
Lucas Kroes, "Building outline segmentation from satellite images" (with Geronimo.ai and Yancong Lin)
Manan Lohani, TBD (with Perciv.ai)
Mats van der Gulik, TBD
Remco Huijsen, "Differentiable rendering for sensor placement" (with Dr. Michael Weinmann)
Roel Webb, TBD (with Dr. Chirag Raman)
Tim den Blanken, TBD (with Prof. de Croon)
Tim Rood, TBD

2024

David Ninfa, "Semantic occupancy prediction through 4D radar-camera fusion" (with Perciv.ai)
Floris Krijgsman, "Prediction of heat transfer coefficient of supercritical CO2 in an upward heated tube" (with Prof. Rene Pecnik and Dr. Jurriaan Peeters)
Jan Peter Simons, "SenseBike Dataset - Addressing LiDAR Domain Gaps through the Introduction of a Novel Dataset from a Bicycle's Perspective"
Jiaxuan Chen, "Radar Point Cloud Segmentation for Automated Driving Technologies" (with Perciv.ai)
Joost Zaalberg, "Reconstruction of 3d worlds for simulation"
Marnix Enting, "3D Scene Compression for Autonomous Driving using Neural Radiance Fields" (with Dr. Michael Weinmann)
Pelle Wiersma, "Horus - A drone-to-vehicle communication dataset"
Robin Gerster, "Person detection in mmultispectral imagery" (with Hensoldt)
Simon Gebraad, "A drone perspective on Camera-LiDAR Semantic Scene Understanding" (with Perciv.ai)
Yohan Le Gars, "Multi-object tracking in maritime applications" (with Demcon Unmanned Systems)

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"

Page updated

Report abuse