Today, June the 26th 2018, ESCAPE’s coordinator Jessica García Soriano from FICOSA, Spain, gave a keynote speech (here the link) about the use of GNSS in vehicles and the ESCAPE project at the International Conference on Localization and GNSS – ICL-GNSS. The 2018 edition of the ICL-GNSS is taking place in Guimaraes, in Portugal.

The audience was very receptive and it made several questions after the speech. The questions focused on the application of GNSS for autonomous driving and in particular on one specific point: the constraints coming from the stringent automotive industry requirements (costs, size and power consumption vs safety).

An extract of the hot topics addressed this year at the ICL-GNSS conference:

Reliable navigation and positioning are becoming imperative in more and more applications for safety-critical purposes, public services and consumer products. A robust localization solution, which will be available continuously, is needed regardless of the specific environment, i.e., outdoors and indoors, and on different platforms such as stand-alone navigators and mobile devices. ICL-GNSS addresses the latest research on wireless and satellite-based positioning techniques to provide reliable and accurate position information with low latency. The emphasis is on the design of mass-market navigation receivers and related tools and methodologies.

The scope includes (but is not limited to) the following topics:

  • Antennas and RF front-end for GNSS receivers
  • Design, prototyping and testing of positioning devices
  • Acquisition, tracking and navigation algorithms
  • Detection and mitigation techniques for adverse propagation conditions
  • Wireless and sensor-based localization
  • GNSS applications for remote sensing, ionospheric sounding and space weather
  • Precise timing for GNSS and terrestrial systems
  • Security and privacy in joint communication and navigation systems
  • Authentication and privacy aspects of positioning
  • Spoofing countermeasures
  • Cooperative and peer-to-peer positioning
  • Positioning based on signals-of-opportunity
  • Multi-GNSS receivers and emerging navigation satellite systems
  • Indoor positioning and localisation in densely populated urban areas
  • Hybrid NAV/COM positioning
  • Cognitive positioning architectures
  • Positioning for autonomous systems (robots, planes, land and marine vehicles)
  • Crowd-sourced and swarm localisation
  • Location-based mobility models, services and applications
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