If you are registered for this event - how to view the webinar
- Please ensure you are logged into your CW account . Your username is the email address you registered with for this event with and if you need to reset your password please use this link.
- Once you are logged into your account please refresh this event webpage
- In the blue box at the top of the event webpage there will be a large green ‘Watch Now’ button which will take you directly to the stream
Issues viewing/accessing the webinar
- Older versions of Internet Explorer may not be compatible with this platform
- If your organisation has ferocious security you may need to add the CW website to your trusted sites.
- If you encounter difficulties on the stream please refresh your browser until you return to the homepage and then press play to resume the session.
- If you are still having difficulties please contact hello@cambridgewireless.co.uk
Join the CW Location SIG as they explore the challenging development of autonomous vehicles in their next webinar 'AI and Navigation'.
The development of autonomous vehicles has faced huge challenges, both technological and legal. Arguably, no other area of positioning has had quite the same attention as that of unmanned vehicles over the last ten years.
The use of multiple sources of positioning data together requires a deep understanding of the expected error distributions and failures. A positioning algorithm needs to combine both absolute and relative position data with other specific features: speed, proximity to other objects, etc. But when the information comes from outside our system, how do we make the best use of it? How do we weigh up the benefits of sharing data with the risks?
Delivered in collaboration with the Royal Institute for Navigation and the KTN this webinar is free to all, but registration is essential.
You can follow @CambWireless on Twitter and tweet about this event using #CWLocation.