Luna unveils ‘cm-level’ positioning for e-scooters

Dublin-based start-up Luna has released a telematic device which it says uses 10cm-level positioning accuracy to help scooter companies ensure their scooters are ridden and parked correctly. The device uses GNSS/GPS positioning with an integrated correction service to achieve this accuracy. It also uses machine vision and artificial intelligence (AI) to recognise parking spaces in GPS blackspots via 2D images (QR codes) located in and around the site, the company adds. According to Luna, the device aug
October 30, 2019 Read time: 2 mins

Dublin-based start-up Luna has released a telematic device which it says uses 10cm-level positioning accuracy to help scooter companies ensure their scooters are ridden and parked correctly.

The device uses GNSS/GPS positioning with an integrated correction service to achieve this accuracy. It also uses machine vision and artificial intelligence (AI) to recognise parking spaces in GPS blackspots via 2D images (QR codes) located in and around the site, the company adds.

According to Luna, the device augments satellite-based positioning with machine vision and AI to overcome GPS blackspots while moving. The unit’s street Vs pavement algorithm allows the scooter camera to analyse the surface it is riding in real-time.

Luna’s safety features include obstacle/footpath recognition to prevent pedestrian collisions as well as helmet detection to ensure scooters can only be operated once a rider is wearing their helmet.

Luna’s CEO Andrew Fleury says: “Safety and rider behaviour has always been the crux of the problem - not just accidents on the road, but pedestrian hazards from careless riding on footpaths and tripping hazards from scooters abandoned in random locations in between rentals.”

“Our technology will address all of these issues by providing a much more accurate means to locate scooters,” he adds.

Related Content

  • New software could detect when people text and drive
    September 20, 2017
    Engineering researchers at Canada’s University of Waterloo are developing technology which can accurately determine when drivers are texting or engaged in other distracting activities. The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.
    Read More
  • Inertial sensors dramatically improve GNSS for ITS applications
    January 18, 2012
    Phil Harris, Thales UK, on how fused sensor data can significantly enhance GNSS-based positioning systems' performance in urban areas. Global Navigation Satellite System (GNSS)-based positioning is unique among available positioning technology due to its universal coverage and low equipment cost. By measuring the distances between an unknown position (such as a vehicle), and at least three known positions (GPS satellites), the unknown position can be calculated in three dimensions (latitude, longitude, and
    Read More
  • Machine vision takes ITS further than the eye can see
    January 5, 2016
    Vitronic’s John Yalda looks at how machine vision has become an integral part of many ITS deployments and why it complements, rather than replaces, ANPR. New and conventional business concepts like online shopping and mail order business are becoming more established in the cultures of fast-growing economies and increasing the demand for flexibility in the freight transportation and logistics industry. Road transport has become the preferred infrastructure for freight forwarding and several studies predict
    Read More
  • Bird blocks micromobility use on pavements
    October 19, 2021
    The technology is currently being piloted in Milwaukee and San Diego
    Read More

Highlighted Content