Tag: e-scooters

  • Reapers used to fight California wildfires

    Reapers used to fight California wildfires

    This month, we look at new applications that might interest even the most tech-savvy. From military Reaper unmanned vehicles being turned into civilian fire-fighters, through continuing drone flights on Mars, to e-scooters monitored by AI-system, the autonomous arena continues to grow. 


    Reaping Disaster-Response Benefits

    The General Atomics Reaper unmanned aerial vehicle (UAV) is usually a weapon of war. Most of us picture them loaded with missiles to be fired on terrorist hideouts, with video of the impact appearing on the six-o’clock news. Soldiers in small control shacks guide these worldwide attacks, while politicians watch the outcomes remotely with their own direct TV coverage. This is how we tend to think of these destructive systems.

    However, Reapers recently have been helping fight the huge fires devastating the California landscape — a more humanitarian, supportive role for a military asset.

    General Atomics Reaper UAV on patrol and remote pilots (Photo: California Air National Guard)
    General Atomics Reaper UAV on patrol and remote pilots (Photos: California Air National Guard)

    The California Air National Guard (ANG) has been assisting firefighters for many years by using helicopters and fixed-wing aircraft to determine the intensity of large California fires and to plot their boundaries.

    In the past 10 years, with the availability of large reconnaissance UAVs and assistance from the Federal Aviation Administration to develop and approve operational procedures, an approach has been formulated to employ Reapers, with the potential to reduce costs and greatly improve response times.

    Having large UAVs at altitude in civilian airspace requires an accompanying chase plane to ensure safe operation. With proven onboard detect-and-avoid capability and visibility through crew monitoring, the chase aircraft only monitors the Reaper’s climb to operational altitude. Using infrared and video from onboard cameras, data is downlinked and post-processed to create fire maps. Artificial intelligence (AI) automates this procedure to provide incident commanders with a near-real-time situational overview.

    Besides mapping the fire, the incident commander can keep track of firefighters on the ground and gain a clearer picture of the fire’s intensity, rate of growth and direction. With a high altitude view of the landscape, Reaper pilots also help determine the best evacuation routes. Video downlinks provide real-time fire dynamics to commanders and even to firefighters on the ground who carry handheld devices.

    When equipped with long-range fuel tanks, Reapers can remain on task for up to 18 hours. The pilot and systems operator in their remote mission-control shack can hand over control to a new crew for such a long mission. The new crew can even be in a different location when it assumes control.

    The experience gained in California regarding flight approvals, operations and use of data is being shared with remote UAV crews and emergency-response controllers in other U.S. jurisdictions as well as other countries. The procedures can be used not only for firefighting, but also for earthquake, flooding and hurricane response.

    Our Martian Adventure

    NASA has extended the mission on Mars of its Ingenuity UAV, which arrived on the planet attached to the belly of the Perseverance rover. The original mission was to establish that controlled flight on the planet’s surface was possible.

    Ingenuity has now spent more than one year on the surface of Mars and has 21 flights under its belt. The diminutive copter has taken on an extended role of scouting out potential routes for its SUV-sized mother ship.

    Integrity runs ‘wiggle test’ of its rotor-blades prior to flight. (Photo: NASA/JPL-Caltech/ASU)
    Integrity runs a “wiggle test” of its rotor blades prior to flight. (Photo: NASA/JPL-Caltech/ASU)

    Ingenuity’s 21st flight is the first of at least three needed to transverse the Séítah region to reach its next base. From there, it will make flights to examine an old river delta. The whole relocation trip will cover about 1,150 feet as Integrity navigates around a large hill. While flying these investigative routes, the NASA team continues to gently push the drone’s capabilities to better understand improvements that can be applied to future Mars UAV designs.

    Proposed route to reach river delta. (Photo: NASA/JPL-Caltech/University of Arizona/USGS)
    Proposed route to reach river delta. (Image: NASA/JPL-Caltech/University of Arizona/USGS)

    Once at the river delta, Ingenuity will encounter higher ground — up to 130 feet above the floor of the Jezero Crater, where it previously flew. The new area is expected to present significant obstacles: jagged cliffs, angled surfaces, rocky outcroppings and sand-filled traps. These obstacles could hamper the Perseverance rover or tip over the small drone on landing. But it’s also a place NASA thinks could harbor evidence of past life.

    On arriving at the delta, Ingenuity’s first task will be to help decide which of two river channels Perseverance should take to climb to the delta. Data from the drone will also pick out science targets that Perseverance could investigate on the way. Once established in the delta region, NASA also hopes to fly Ingenuity to scout other features the rover might not be able to reach, but which might be accessible on future missions.

    NASA has uploaded several upgrades to Ingenuity. They enabled higher, faster and longer flights and speed changes. The upgrades also have improved the drone’s perception of landing areas. Potential upgrades include adding terrain elevation maps and a hazard-avoidance capability for safer landing.

    E-Scooters Adopt Pedestrian Defense

    An outfit that rents e-scooters in more than 60 cities worldwide is adopting a “pedestrian defense” AI upgrade to prevent renters from abusing others around them and keep them riding within acceptable rules of operation.

    LINK e-scooter (Photo: Superpedestrian)
    LINK e-scooter. (Photo: Superpedestrian)

    Previous efforts have only give riders visual and audio warnings that they should not enter a sidewalk. This new e-scooter active defense system slows the scooter to a stop and will not allow it to resume operation until it is moved outside the prohibited area.

    Other unsafe behaviors — riding the wrong way up one-way streets, parking in the wrong place or aggressively swerving — also can be detected and actively deterred.

    Sensors on the scooter provide data that relates location and activity to onboard stored city maps and geofenced areas. This enables application of enforcement commands within a second of them being detected.

    The system provides cities and operators with visibility for the whole fleet of scooters. It shows what renters are doing within existing street safety restrictions, allowing both city and rental company officers to address perceived operational issues.

  • U‑blox positioning module features both UDR and ADR technology

    U‑blox positioning module features both UDR and ADR technology

    Photo: u-blox
    Photo: u-blox

    U‑blox has announced the NEO-M9V module, its first GNSS positioning receiver to offer both untethered dead reckoning (UDR) and automotive dead reckoning (ADR).

    The NEO-M9V is suitable for fleet management and micro-mobility applications that require reliable meter-level positioning accuracy even in challenging GNSS signal environments such as urban canyons.

    Vehicle fleet managers seeking to cut costs and lower their carbon footprint depend on accurate positioning and navigation data to reduce fuel consumption. Micro-mobility operators need to accurately locate their individual bikes and scooters.

    Using inertial sensor measurements, UDR offers a smooth navigation experience in dense urban environments by bridging gaps in GNSS signal coverage and mitigating the impact of multipath effects caused by GNSS signals that bounce off buildings. ADR further increases positioning accuracy in demanding environments by including the vehicle speed in the sensor-fusion algorithm.

    Offering both UDR and ADR on the same module delivers maximum positioning performance and design flexibility, u-blox said. The NEO-M9V also features dynamic models optimized for both cars and e-scooters.

    NEO-M9V is based on the u‑blox M9 GNSS technology platform. Its ability to track up to four GNSS constellations maximizes the number of GNSS satellites within its line of sight at any given moment. Integrated SAW and low-noise amplifier filters offer excellent interference mitigation for a robust solution. Compatibility with the NEO form factor reduces migration efforts for customers upgrading existing designs.

  • U-blox updates ZED-F9R positioning module for slow-moving vehicles

    U-blox updates ZED-F9R positioning module for slow-moving vehicles

    U-blox has released a firmware update for its ZED-F9R positioning module, bringing robust centimeter-level positioning to slow-moving use cases such as robotic lawnmowers, e-scooters and shared bicycles.

    Based on the ZED-F9R high-precision sensor-fusion module, the u-blox ZED-F9R-02B was designed for use in autonomous and industrial applications that require simple and efficient implementation and where rapid access to highly accurate positioning data is key, even in challenging signal environments such as dense cities.

    The ZED-F9R uses the u-blox F9 multi-band GNSS receiver platform to concurrently track up to four GNSS constellations. Applying real-time kinematic (RTK) techniques, the module can derive positioning data with centimeter-level accuracy.

    The high-precision GNSS measurements are fused with data from the module’s inertial measurement unit (IMU), GNSS correction data, odometry information, and a vehicle dynamics model to provide high-quality positioning accuracy in situations where GNSS alone would fail. The receiver includes dynamic models for robotic lawnmowers, e-scooters and automobiles.

    The ZED-F9R-02B integrates the u-blox GNSS correction data service, broadcast in the highly scalable state-space representation format, making it easier to deliver fast time-to-market precise positioning solutions.

    An autonomous lawn mower trims the grass in a park in Finland. (Photo: Scharfsinn86/iStock/Getty Images Plus/Getty Images)
    An autonomous lawn mower trims the grass in a park in Finland. (Photo: Scharfsinn86/iStock/Getty Images Plus/Getty Images)

    Robotic lawnmowers achieve further improvements in terms of their positioning accuracy from the module’s ability to calibrate its dead-reckoning system even at low speeds. The module’s highly accurate position output lets end users precisely delimit the mowing area using software rather than with boundary wires, and deploy robotic lawnmowers on complex lawn shapes while excluding trees and shrubs. Users can align each pass of the mower with the next more accurately than before, delivering a professional-looking striped lawn.

    According to U-blox, combining these features allows product designers to use the module to create mowing equipment that enables “robotic mowing as a service” capable of operating in complex environments without the upfront cost and commitment of installing boundary wires.

    “Our new ZED-F9R-02B high-precision module is a turnkey dead-reckoning solution that will enable designers to bring products that need dead-reckoning technology to market more quickly than if they had to implement it from scratch,” said Alex Ngi, product manager, Industrial Navigation and Robotics, Product Center Positioning at u-blox. “It will also allow companies working in niche markets to employ dead-reckoning technologies without needing to build and maintain expertise in the subject.”

    The ZED-F9R-02B offers support for a range of correction services, including the SPARTN format, which will make it straightforward to distribute GNSS correction data over large geographical areas.

    iGPSPort cycling computer. In another announcement, U-blox and iGPSPORT, a sports hardware and data service provider operating out of Wuhan, China, have announced the iGS320 cycling computer, which builds on the u-blox M10 positioning platform. The cycling computer leverages the U-blox M10 platform’s ultra-low power consumption, compact size, and its ability to track all four GNSS to offer endurance athletes a superior user experience.

    Adopting the U-blox M10 positioning platform in its iGS320 cycling computer brought iGPSPORT an 80 percent increase the power autonomy to deliver 72 hours of continuous tracking, up from 40 hours in their previous solution. Concurrent reception of up to four GNSS constellations increases coverage and accuracy in otherwise challenging signal environments.