Greater location accuracy for smart-city push

Updated SLA system corrects satellite data for better precision needed by driverless vehicles

Anyone who has used Global Positioning System (GPS) navigation in mobile apps or vehicles may have noticed that the location data can be inaccurate and "jumpy".

Given this, how do driverless or autonomous vehicles - which require great accuracy - manage to navigate safely? In Singapore, the answer lies partly with a local network of reference stations.

The Singapore Satellite Positioning Reference Network (Sirent) uses eight powerful antennae across the country to correct satellite data for real-time precision of up to 3cm accuracy (see graphic).

It is currently used by "auto riders" - self-driving shuttle buses - at Gardens by the Bay, and autonomous vehicle trials in one-north.

The Singapore Land Authority's (SLA) Sirent was set up in 2006, but updated in 2015 to use global navigation satellite system (GNSS) data from several countries' satellites, not just the United States' GPS data.

With more potential satellites, users are more likely to get the required clear line of sight to satellites from any particular point.

Sirent's system processes and corrects satellite data to give a constantly updated, accurate position, which is used mainly for surveying and mapping. The Singapore Turf Club even uses it to ensure accurate lane markings on race tracks.

But with its real-time updates and precision, Sirent could also help Singapore's smart-city push in areas such as autonomous vehicles, said SLA deputy director of land survey, Dr Victor Khoo.

"When you want to automate something, you first need to know its position," he said.

Regular GPS technology, as seen in mobile phones, is inadequate for autonomous vehicles as its accuracy is within a few metres, he added.

Instead, Sirent's GNSS capabilities are used alongside technologies such as sensors and lasers so that the vehicles can navigate with an accuracy of mere centimetres.

Laser scanning and cameras are necessary for capturing surrounding data relative to the vehicle's position, noted Dr Khoo.

But real-time kinematic navigation - the method which relies on Sirent - pinpoints the vehicle's actual position on the roads.

Satellite positioning is also more suitable for locations such as Gardens by the Bay, said autonomous vehicle expert Niels de Boer.

Laser-based systems need clear, defined edges to work well - and "trees don't have sharp edges", said Mr de Boer, programme director for future mobility solutions (autonomous vehicles) at Nanyang Technological University's Energy Research Institute.

Many other countries do not have the benefit of a central set-up such as Sirent, he noted.

If someone wants to use corrected satellite data, they would have to buy their own system and servers, which could cost US$80,000 (S$116,000) to US$100,000.

"By having this system available for the whole of Singapore, it saves a lot of money," Mr de Boer added.

Sirent is also helping construction firms work smarter, in pinpointing where to put foundation piles.

This was done last year for public flats in Bidadari and Punggol, for instance, by building firm S C Ang Consortium.

Agency for Science, Technology and Research scientist Sivanand Krishnan, who is helping with the project, said this method improves productivity fourfold, measured in man-hours.

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A version of this article appeared in the print edition of The Straits Times on January 03, 2017, with the headline Greater location accuracy for smart-city push. Subscribe