Overview
Research on validating high-definition maps for autonomous driving using live sensor data — detecting when a previously recorded map no longer matches the current road, and informing road-model creation. The work spans model-based correlation methods and deep similarity learning, and included the organisation of two international workshops bringing together researchers on the topic.
Workshops
I co-organised two international workshops on this topic, both held at the IEEE Intelligent Vehicles Symposium (IV). They aimed to form a platform for exchanging ideas, fostering research, and connecting industry and academia around offline map and online road-model creation for autonomous vehicles — covering highway and urban scenarios, single-vehicle and fleet data collection, and in-vehicle and backend processing. Topics included validated road-model creation, map data life-cycle management, and mapping fraud detection and prevention. Accepted papers were published in IEEE Xplore.
Second Workshop on Online Map Validation and Road Model Creation
IV 2021 · 11 July 2021
Organising committee: Angelo Cenedese, Umar Zakir Abdul Hamid, Luca Parolini, Christopher Plachetka, Sebastian Schneider, Qing Rao, Roberto G. Valenti, Jenny Yuan, Oliver Wasenmüller.
First Workshop on Online Map Validation and Road Model Creation
IV 2020 · 20 October 2020
Organising committee: Luca Parolini, Sebastian Schneider, Qing Rao, Jenny Yuan, Oliver Wasenmüller.