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B: Applications

Experts Navigate Challenges to Driverless Driving in Free Webinar

Auto makers, ride-service providers and system integrators all anticipate the day—perhaps sooner than some think—when fully autonomous vehicles take the road. Many rigorous technical navigation challenges must be surmounted to reach that day: safety and reliability come first, before convenience and cost-savings can be realized. Innovative engineers who have solved these challenges share their lessons learned in a free webinar, Wednesday, October 2: “Inertial + SLAM: Creating the Roadmap for Autonomous Vehicles.”

Their achievements are realized today in completely driverless shuttles operating in urban, GNSS-obstructed environments around the world. Inertial systems combine with simultaneous location and mapping (SLAM) technology in these pioneering ventures to provide accurate, reliable absolute positioning and navigational awareness during GNSS outages.

The hour-and-a-half webinar discusses real-time navigation, vision- and LiDAR-enabled SLAM and high-definition (HD) mapping in detail. Integration of these techniques produced the driverless shuttle, an on-demand mobility services optimized for user experience, viewable here. The product has successfully performed in more than 60 trials in seven countries, safely transporting over 120,000 passengers.

Demonstrations and key takeaways from the October 2 webinar  include:

  • How inertial navigation systems integrate with GNSS to provide reliable absolute positioning at all times, in harsh environments for autonomous vehicles, with proven reliability of data to address safety issues.
  • How vision- and LiDAR-enabled SLAM algorithms create advance trajectory computations to augment this integration, yielding high-definition (HD) maps of complex 3D environments.
  • How shuttles and robots employ the system to determine where they are on the map and then, where they next must go.

Several localization layers are investigated, compared and discussed by the expert panel, with test results and data showing reliability, repeatability and accuracy.

With no human operator to fall back on, these fully autonomous vehicles represent a special niche in today’s rapidly growing field, and yield important insights for the wider driverless future.

Proven customer use cases validate the concept in action. Coast Autonomous, the self-driving mobility company represented on the webinar speaker panel, integrates inertial and SLAM technologies aboard autonomous vehicles in low-speed environments such as campuses, downtown areas, theme parks and airports. The solution provides increased customer safety, faster response to user requests, and resolves logistics bottlenecks.

Speakers on the October 2 webinar, Inertial + SLAM: Creating the Roadmap for Autonomous Vehicles” are:

Raphaël Siryani

Raphaël Siryani, chief software architect and co-founder of inertial manufacturer SBG, a supplier of miniature, high-performance motion-sensing solutions. He has an M.S. in embedded systems engineering from the Ecole Centrale d’Electronique. SBG Systems designs and manufactures attitude and heading reference systems (AHRS), inertial measurement units (IMU), inertial navigation systems with embedded GPS (INS/GPS), and more.

Jérôme Ninot

Jérôme Ninot, mapping chief and founder of Viametris. Ninot holds a Ph.D. in engineering from Telecom Bretagne. Viametris provides sub-centimeter localization for increased productivity, accuracy, and efficiency, using point cloud, localization, immersive images and mapping.


Pierre Lefevre

Pierre Lefevre, chief technical officer of Coast Autonomous, highly experienced in robotics, 3D mapping and autonomous vehicles, a consultant to governmental rule-making authorities, commercial vehicle manufacturers and technology companies. In 2017, he delivered the first autonomous shuttle to Hong Kong, and in 2018 demonstrated the first autonomous vehicle, the P-1, on Broadway in heart of New York’s Times Square.

By Inside GNSS

Portable, Rapid-Install Precision Lander Enables Remote Operations

A portable differential GPS-based precision landing system that guides aircraft in to spot landings in all weather, challenging terrain and surfaces conditions proved itself in a rapid set-up demo before military officials of five countries recently. A Raytheon team set up the company’s Joint Precision Approach and Landing System (JPALS) in less than an hour on a small footprint and promptly brought in multiple F-35Cs, long-range stealth strike fighters, to the same designated runway landing point every time over the course of six different approaches.

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By Inside GNSS
September 16, 2019

Train Safety Enhanced with GNSS Receivers from Septentrio

Septentrio now provides GPS/GNSS receivers to rail equipment manufacturer Wabtec, also a provider of digital solutions and services to the train industry. Wabtec is implementing the receivers in its GoLINC Edge platform to provide positioning, connectivity, data storage and Positive Train Control (PTC) enhanced with the adoption of higher-precision positioning technology.

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By Inside GNSS
September 10, 2019

GMV Spearheading GNSS Positioning Technology for Autonomous Vehicles

GMV has been chosen for development of advanced safe and precise positioning technology for a new generation of autonomous vehicles. Last week the Madrid, Spain-based company announced the award of an important contract for development of a precise satellite-based (GNSS) positioning system with integrity for the new generation of autonomous vehicles of the German carmaker BMW Group.

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By Inside GNSS
September 6, 2019

Deep-Space Clock Could Blaze Trail to Improved GNSS Accuracy

The U.S. National Aeronautic and Space Administration (NASA) has activated an orbiting ultra-precise atomic clock orbiting aboard a spacecraft provided by General Atomics Electromagnetic Systems. If the clock performs as well in space as it has in the lab, losing only one second every 10 million years, the technology could enable far-reaching deep space missions—and improve the accuracy of GNSS timing and positioning.

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By Inside GNSS
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