Asian Surveying & Mapping
Breaking News
China wants Bangladesh to rewrite geography, alter India’s map
China is back at it again. According to reports,...
Japan launches navigation satellite on nation’s 1st mission of 2025
An H3 rocket launched the Michibiki 6 spacecraft from Tanegashima Space Center...
China builds space alliances in Africa as Trump cuts foreign aid
China has forged nearly two-dozen pacts with African nations...
Isro tests Gaganyaan communications with ESA ground station network
The Indian Space Research Organisation (Isro) has achieved a ...
Russian, US Envoys Meet ISRO Chairman
Ahead of Prime Minister Narendra D Modi's meeting United...
IIT Madras, ISRO develop indigenous aerospace micro processor to aid space technologies
Indian Institute of Technology (IIT) Madras and ISRO have...
Geo Connect Asia expands its regional footprint
London & Singapore – The 5th edition of Geo...
Advanced Navigation to develop precision navigation for Gilmour Space rocket launches
United States, February 3, 2025 - Advanced Navigation, a...
AICRAFT Signs Collaboration Agreement with Korea’s CONTEC Space Optics
South Australian artificial intelligence company AICRAFT has inked a...
Japan to join U.S.-led space telescope project in search for life
Japan's government has been considering joining a U.S.-led space...
QueenslandNav

“At the moment you need three satellites in order to get a decent GPS signal and even then it can take a minute or more to get a lock on your location,” Milford said. “There are some places geographically, where you just can’t get satellite signals and even in big cities we have issues with signals being scrambled because of tall buildings or losing them altogether in tunnels.”

SeqSLMA visual-based navigation makes an assumption about your location and tests it repeatedly by imaging surroundings and testing it against data that it has already collected. As you move around, the sequence of repeated images build up over time to uniquely identify locations.

Milford credits Google with the breakthrough on this approach, given its capture of almost every street in the world in their Street View project. With this data, he then set out to simplify and make streets recognizable with pattern recognition.

The research benefits from Milford’s work with small mammal navigation, working out how they achieved it when their eyesight was so poor. Using simple low-resolution cameras, and mathematical algorithms, Milford has proven that we don’t require expensive satellites, cameras or computers to achieve similar — and even more accurate — outcomes.