Tracking the power port of remote radio unit (RRU) using computer vision. - Ali Anwar 002; Weiyang Lin; Hengbo Ma; Huijun Gao; Wenbo Dong; Chenglu Liu (IECON, 2017)

Adaptive impedance based force and position control for pneumatic compliant system. - Wenbo Dong; Renhe Guan; Letian Yuan; Xiaoliang Gu; Ali Anwar 002; Weiyang Lin (IECON, 2017)

Quality Inspection of Remote Radio Unit (RRU) Power Port Using IBVS. - Ali Anwar 002; Xiaoke Deng; Hengbo Ma; Weiyang Lin; Huijun Gao (CCECE, 2018)

Quality Inspection of Remote Radio Units Using Depth-Free Image-Based Visual Servo With Acceleration Command. - Ali Anwar 002; Weiyang Lin; Xiaoke Deng; Jianbin Qiu; Huijun Gao (IEEE Trans. Ind. Electron., 2019)

Recognition and Pose Estimation of Auto Parts for an Autonomous Spray Painting Robot. - Weiyang Lin; Ali Anwar 002; Zhan Li 003; Mingsi Tong; Jianbin Qiu; Huijun Gao (IEEE Trans. Ind. Informatics, 2019)

Lane Marking Detection Using LiDAR Sensor. - Ahmed N. Ahmed; Sven Eckelmann; Ali Anwar 002; Toralf Trautmann; Peter Hellinckx (3PGCIC, 2020)

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. - Dieter Balemans; Yves De Boeck; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

Intelligent Data Sharing in Digital Twins: Positioning Paper. - Thomas Cassimon; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

Lane Marking Detection Techniques for Autonomous Driving. - Ahmed N. Ahmed; Ali Anwar 002; Sven Eckelmann; Toralf Trautmann; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Quality-Aware Compression of Point Clouds with Google Draco. - Jens de Hoog; Ahmed N. Ahmed; Ali Anwar 002; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

FF-GAT: Feature Fusion Using Graph Attention Networks. - Ahmed N. Ahmed; Ali Anwar 002; Siegfried Mercelis; Steven Latré; Peter Hellinckx (IECON, 2021)

Improving Context-Aware Synthesis and Placement of Object Instances. - Jens Duym; Ali Anwar 002; Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2022)

Autonomous Navigation Using Model-Based Reinforcement Learning. - Siemen Herremans; Jens de Hoog; Simon Vanneste; Dieter Balemans; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2022)

Object Detection To Enable Autonomous Vessels On European Inland Waterways. - Mattias Billast; Robin Janssens; Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Ali Anwar 002; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré; Peter Hellinckx (IECON, 2022)

Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. - Furkan Elmaz; Sara Ghane; Thomas Huybrechts; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

Reinforcement learning based mass flow and supply temperature control for combined heat distribution. - Stef Jacobs; Sara Ghane; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx; Ivan Verhaert (IECON, 2022)

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. - Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Robin Janssens; Mattias Billast; Ali Anwar 002; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

A Joint Perception Scheme For Connected Vehicles. - Ahmed N. Ahmed; Ian Ravijts; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (IEEE SENSORS, 2022)

The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. - Niels Balemans; Lucas Hooft; Philippe Reiter; Ali Anwar 002; Jan Steckel; Siegfried Mercelis (SENSORS, 2023)

Metamodelling of Noise to Image Classification Performance. - Jens de Hoog; Ali Anwar 002; Philippe Reiter; Siegfried Mercelis; Peter Hellinckx (IEEE Access, 2023)

Attention Based Feature Fusion For Multi-Agent Collaborative Perception. - Ahmed N. Ahmed; Siegfried Mercelis; Ali Anwar 002 (CoRR, 2023)

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning. - Siemen Herremans; Ali Anwar 002; Arne Troch; Ian Ravijts; Maarten Vangeneugden; Siegfried Mercelis; Peter Hellinckx (CoRR, 2023)

Reinforcement learning-based approach for optimizing solvent-switch processes. - Furkan Elmaz; Ulderico Di Caprio; Min Wu; Yentl Wouters; Geert Van Der Vorst; Niels Vandervoort; Ali Anwar 002; Mumin Enis Leblebici; Peter Hellinckx; Siegfried Mercelis (Comput. Chem. Eng., 2023)

Hybrid modelling of a batch separation process. - Ulderico Di Caprio; Min Wu; Furkan Elmaz; Yentl Wouters; Niels Vandervoort; Ali Anwar 002; Siegfried Mercelis; Steffen Waldherr; Peter Hellinckx; Mumin Enis Leblebici (Comput. Chem. Eng., 2023)

Selection of image classifiers for noisy images through metalearning. - Jens de Hoog; Ali Anwar 002; Peter Hellinckx; Siegfried Mercelis (ICMVA, 2024)

Improving classification of road surface conditions via road area extraction and contrastive learning. - Linh Trinh; Ali Anwar 002; Siegfried Mercelis (IECON, 2024)

Multi-Modal Sensor Fusion in Latent Embedding Space for Robust Autonomous Navigation. - Niels Balemans; Ali Anwar 002; Jan Steckel; Siegfried Mercelis (IEEE SENSORS, 2024)

Multiple Data Sources and Domain Generalization Learning Method for Road Surface Defect Classification. - Linh Trinh; Ali Anwar 002; Siegfried Mercelis (ITSC, 2024)

Data Selection Method for Assessment of Autonomous Vehicles. - Linh Trinh; Ali Anwar 002; Siegfried Mercelis (ITSC, 2024)

Graph Attention Based Feature Fusion For Collaborative Perception. - Ahmed N. Ahmed; Siegfried Mercelis; Ali Anwar 002 (IV, 2024)

SeaDSC: A Video-Based Unsupervised Method for Dynamic Scene Change Detection in Unmanned Surface Vehicles. - Linh Trinh; Ali Anwar 002; Siegfried Mercelis (WACV (Workshops), 2024)

CollabGAT: Collaborative Perception Using Graph Attention Network. - Ahmed N. Ahmed; Siegfried Mercelis; Ali Anwar 002 (IEEE Access, 2024)

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model. - Siemen Herremans; Ali Anwar 002; Siegfried Mercelis (CoRR, 2024)

Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping. - Bavo Lesy; Ali Anwar 002; Siegfried Mercelis (CoRR, 2024)

A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. - Linh Trinh; Siegfried Mercelis; Ali Anwar 002 (CoRR, 2024)

LiDAR-BIND: Multi-Modal Sensor Fusion Through Shared Latent Embeddings. - Niels Balemans; Ali Anwar 002; Jan Steckel; Siegfried Mercelis (IEEE Robotics Autom. Lett., 2024)

GIFF: Graph Iterative Attention Based Feature Fusion for Collaborative Perception. - Ahmed N. Ahmed; Siegfried Mercelis; Ali Anwar 002 (VISIGRAPP (2): VISAPP, 2025)

Quantifying Generative Stability: Mode Collapse Entropy Score for Mode Diversity Evaluation. - Jens Duym; José Oramas; Ali Anwar 002 (WACV (Workshops), 2025)

ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research. - Bavo Lesy; Siemen Herremans; Robin Kerstens; Jan Steckel; Walter Daems; Siegfried Mercelis; Ali Anwar 002 (CoRR, 2025)