Pedestrian Detection and Classification for Autonomous Train. - Ankur Mahtani; Wael Ben Messaoud; Abdelmalik Taleb-Ahmed; Smaïl Niar; Clément Strauss (IPAS, 2020)

Hazardous Events Detection in Automatic Train Doors Vicinity Using Deep Neural Networks. - Olivier Laurendin; Sébastien Ambellouis; Anthony Fleury; Ankur Mahtani; Sanaa Chafik; Clément Strauss (AVSS, 2021)

FPDM: Fisheye Panoptic segmentation dataset for Door Monitoring. - Mohamed Thioune; Sanaa Chafik; Ankur Mahtani; Olivier Laurendin; Safia Boudra (AVSS, 2022)

Space-Time Memory Networks for Multi-person Skeleton Body Part Detection. - Rémi Dufour; Cyril Meurie; Olivier Lézoray; Ankur Mahtani (ICPRAI (2), 2022)

Application of Rail Segmentation in the Monitoring of Autonomous Train's Frontal Environment. - Mohamed Amine Hadded; Ankur Mahtani; Sébastien Ambellouis; Jacques Boonaert; Hazem Wannous (ICPRAI (1), 2022)

RailSet: A Unique Dataset for Railway Anomaly Detection. - Arij Zouaoui; Ankur Mahtani; Mohamed Amine Hadded; Sébastien Ambellouis; Jacques Boonaert; Hazem Wannous (IPAS, 2022)

Enhancing Autonomous Train Safety Through A Priori-Map Based Perception. - Ankur Mahtani; Nadia Chouchani; Maxime Herbreteau; Denis Rafin (RSSRail, 2022)

Pedestrian and Automatic Doors Abnormal Interactions Detection using Multi-Task Self-Supervised Learning. - Olivier Laurendin; Sébastien Ambellouis; Ankur Mahtani; Anthony Fleury (BMVC Workshop, 2023)

RailCloud-HdF: A Large-Scale Point Cloud Dataset for Railway Scene Semantic Segmentation. - Mahdi Abid; Mathis Teixeira; Ankur Mahtani; Thomas Laurent 004 (VISIGRAPP (2): VISAPP, 2024)