Antennas for Autonomous Automotive Applications

For driverless vehicles, sub-meter-level positioning is required for lane-level resolution. Hazardous and misleading information poses a serious, disruptive and critical safety concern. Multi-constellation/multi-frequency (MCMF) GNSS with protection limits and correction services are necessary to move forward safely. This session provides valuable insights into the entire signal chain from antenna to receiver, the protection limits and how to make everything work together to meet automotive standards.

Detection and Geolocation of GNSS Interference

Real-world incidents of GNSS signal jamming and spoofing have become increasingly frequent, potentially interfering with safety and reliability as well as productivity. GNSS interference is now an everyday reality, and challenge, in many commercial sectors. All those interested in safe, effective and productive functioning of GNSS-enabled PNT systems will profit from the in-depth technical insights of this free on-demand webinar.

Advancements in GNSS+INS Technology and Integration

Significant advancements in GNSS+INS technology in the past few years are pushing the performance thresholds to levels unimagined only a few short years ago. To learn what's new and coming in the future, watch this free on-demand webinar.

Safety-Critical Positioning

for automotive applications: Lessons from civil aviation                                                                                                                                                                                        

GALILEO: Dawn of a New Age of GNSS Service

Europe's satellite navigation system, Galileo, is about to launch its initial services by the end of this year

Signal Interference: Detection and Mitigation

As the number of GNSS signals being tracked increases, so does the potential for interference to dismiss the performance gains of using those additional signals.

The Future of Farming

Farming is a complex business which involves managing variables such as weather, soil and crop inputs to ultimately maximize yield and minimize waste and cost.