W2: Intelligent Uncrewed Vehicles mapping Systems (IUVS)

Workshop Overview

This workshop will seek contributions covering the developments of autonomous unmanned vehicle mapping systems and their use in the next generation of Geospatial applications. The aim will be to bring together communities keen on developing the next generation of flying drones and uncrewed ground, water and underwater platforms in general, such as robotics and computer science.

The focus will be on the advancements in the algorithms embedded in autonomous platforms navigating in any space (outdoor and confined/indoor). Topics of interest include but are not limited to, the development of real-time drone remote sensing analytics algorithms considering edge/fog/cloud computing, innovative georeferencing techniques, deep learning algorithms for situational awareness and autonomous navigation and exploration, as well as collaborative and swarm SLAM algorithms. Lightweight, energy-efficient, replicable hardware and software solutions and their embedding in larger networks of sensors, are particularly of interest for this workshop. A specific focus will be given to BVLOS solutions and the use of autonomous platforms in urban and rural environments. The integration of data collected using unmanned vehicles with other data platforms (such as airborne or satellite images) is also relevant for this workshop.

The Workshops will address different monitoring and surveying applications performed by innovative autonomous platforms such as precision farming, disaster mapping, urban planning, Building Information Modelling, cultural heritage survey, natural environment and infrastructure monitoring.

Workshop Theme

  • Drones, ground and underwater autonomous systems
  • Autonomous path planning, SLAM, navigation, drone-in-the-box, tethered solutions and VLOS/BVLOS exploration
  • Edge, fog, and cloud computing for real-time scene understanding
  • Collaborative and swarm platforms for Geospatial applications
  • Next-generation autonomous platform applications
  • Innovative active and passive sensors embedded in autonomous platforms
  • Use of Unmanned Vehicles in specific applications such as precision farming, disaster mapping, BIM, urban planning, cultural heritage, natural environment and infrastructure monitoring.
  • Integration of unmanned vehicles with other sensor data

Scientific Committee

  • Francesco Nex, University of Twente, The Netherlands
  • Ejia Honkavaara, NLS, Finland
  • Filiberto Chiabrando, Politecnico di Torino, Italy
  • Taejung Kim, Inha University, South Korea
  • Costas Armenakis, York University, Canada
  • Martina Di Rita, Leica Geosystems, Switzerland
  • Henry Meißner, German Aerospace Center, Germany