Tag: micromobility

  • Google ARCore Geospatial API expected to power new apps

    Google ARCore Geospatial API expected to power new apps

    Bird uses the ARCore Geospatial API to enable a scooter parking app. (Image: Bird)
    Bird uses the ARCore Geospatial API to enable a scooter parking app. (Image: Bird)

    Google has launched the ARCore Geospatial API in ARCore software development kits (SDKs) for Android and iOS across all compatible ARCore-enabled devices.

    The application programming interface (API) is available at no cost to download and opens up nearly 15 years of Google Maps data to help developers build more useful and immersive augmented reality (AR) experiences.

    “The Geospatial API provides access to global localization — the same technology that has been powering Live View in Google Maps since 2019, providing people with helpful AR-powered arrows and turn-by-turn directions,” explains a Google blog.

    “Based on the Visual Positioning Service (VPS) with tens of billions of images in Street View, developers can now anchor content by latitude, longitude and altitude in more than 87 countries, without being there or having to scan the physical space, saving significant time and resources.

    “For end users, discovering and interacting with AR is faster and more accurate as images from the scanned environment are instantaneously matched against our model of the world,” the blog states. “This model is built using advanced machine-learning techniques, which extract trillions of 3D points from Street View images that are then used to compute a device’s position and orientation in less than a second.

    “In other words, users can be anywhere Street View is available, and just by pointing their camera, their device understands exactly where it is, which way it is pointed and where the AR content should appear, almost immediately.”

    Early-access partners include the NBA, Snap and Lyft, who are exploring and building applications in areas such as education, entertainment and utilities. For example, micromobility companies Bird, Lime and WeMo are using the API to remove friction from parking e-scooters and e-bikes, adding pinpoint accuracy so that riders know exactly when their vehicle is in a valid parking spot. Lime has been piloting its app in London, Paris, Tel Aviv, Bordeaux, Madrid and San Diego.

  • Engaging data for scooters, cars and trains

    Engaging data for scooters, cars and trains

    Swift Navigation designs, manufactures and integrates GNSS receivers, as well as providing the Skylark wide-area GNSS corrections service. Its markets are automotive, transportation (last mile delivery, commercial trucking, rail), robotics/machine control (construction, mining, precision agriculture, landscaping), UAVs, micromobility and mobile devices and applications.

    The company’s technology is compatible and interoperable with most major GNSS receivers for multiple markets. Its Starling positioning engine and Skylark corrections “are scalable to bring precision to legacy low-cost single-frequency receivers, all the way to the most sophisticated state-of-the-art triple-frequency multi-constellation systems,” said Joel Gibson, Swift’s executive vice president of Automotive. “By working with a multitude of receiver vendors for different applications, Swift leverages all constellations and all signals and maximizes the performance required for the application.”

    The most accurate and reliable navigation system for every application would take advantage of all available GNSS signals, as well as all available corrections, dead reckoning and fused data from other sensors, such as cameras, lidar and radar. However, of course, that is not possible due to cost, size, weight and power considerations. Swift’s approach to the trade-offs required depends on each use case.

    Micromobility

    In the area of micromobility (such as scooters), the main constraints for implementing a positioning solution are cost and power, coupled with the challenge of satellite signal outages and multipath in dense urban environments where these vehicles primarily operate, Gibson explained. “Cost-effective dual-frequency GNSS receivers are now showing up in micromobility architectures. Pairing them with our Starling positioning engine, which integrates inertial sensor data and wheel ticks, and augmenting them with Skylark corrections data, makes it possible to meet such compliance requirements as geofencing and limiting sidewalk use.”

    Additionally, by achieving decimeter-level positioning, Swift’s micromobility solution makes it easier for both users and service staff to find scooters, which increases the scooter companies’ revenues.

    Photo: Swift Navigation
    Photo: Swift Navigation

    Automotive

    In the automotive industry, inertial sensors and wheel odometry are ubiquitous and pair naturally with GNSS to mitigate satellite signal outages, Gibson pointed out. Likewise, cameras and radar — cornerstones of ADAS — are very complementary to GNSS for safety applications, and lidar further complements GNSS in feature-rich environments such as dense urban areas.

    Rail

    Rail applications, such as Positive Train Control, have traditionally needed an accuracy of one or two meters, coupled with ruggedized hardware. “Swift’s precise positioning solution is deployed across continental rail systems today, and we are now engaging rail OEM and operator programs requiring sub-meter accuracy to ensure track-to-track accuracy and safety requirements in support of the transition to more autonomous rail operations,” said Gibson. “Leading rail companies are also looking for operational efficiencies by transitioning away from the high operational costs of maintaining reference base stations along track routes, instead moving to the more cost effective, reliable and seamless Skylark corrections coverage.”

  • Taoglas and u-blox partner on positioning for Cowboy e-bike

    Taoglas and u-blox partner on positioning for Cowboy e-bike

    Photo: Cowboy
    Photo: Cowboy

    Taoglas and u-blox showcased their positioning solution for the Cowboy electric bike at Mobile World Congress Los Angeles 2021. taking place Oct. 26-28.

    The Cowboy e-bike solution provides riders with high-performance, real-time GNSS accuracy, enabling them to map their own paths and those of the cities they live in.

    The Cowboy e-bike uses smart road-companion applications to ensure riders get precise information, regardless of the route they travel. The positioning component uses Taoglas’ Accura GVLB258.A, a multi-band GNSS L1/L5, high-performance stacked patch antenna, in conjunction with u-blox’s SAM-M8Q GNSS positioning module. The combination allows for extremely low power and high accuracy.

    The solutions works with “micromobility” services offered by Cowboy, such as Easy Rider for theft detection, bike insurance, and crash detection notifications.