{"id":8508,"date":"2025-04-13T14:38:00","date_gmt":"2025-04-13T14:38:00","guid":{"rendered":"https:\/\/www.oxts.com\/?p=8508"},"modified":"2025-12-23T16:56:35","modified_gmt":"2025-12-23T16:56:35","slug":"how-lidar-boost-supports-gnss-denied-navigation","status":"publish","type":"post","link":"https:\/\/www.oxts.com\/zh\/how-lidar-boost-supports-gnss-denied-navigation\/","title":{"rendered":"LiDAR Boost\u5982\u4f55\u5728GNSS\u62d2\u6b62\u73af\u5883\u4e2d\u5b9e\u73b0\u7cbe\u51c6\u5bfc\u822a"},"content":{"rendered":"\n
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Getting accurate localisation data in areas where GNSS signal is weak or nonexistent is a challenge faced by a huge range of engineers and navigation professionals. At OXTS, we\u2019ve recently launched WayFinder<\/a>, a brand-new product designed to help solve this problem.<\/strong><\/p>\n

WayFinder is an all-in-one solution for GNSS-denied navigation that works out of the box, featuring integrated LiDAR and cameras in addition to a top-performing MEMS GNSS\/INS.<\/span>\u00a0<\/span><\/p>\n

In this blog, we\u2019re getting into the detail of the unique software that powers Wayfinder: LiDAR Boost. Let\u2019s start by recapping how people are currently trying to solve the GNSS-denied navigation challenge.<\/span>\u00a0<\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n\n

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OXTS WayFinder Navigation System<\/figcaption><\/figure>\n\n\n\n
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Sensor fusion is the future of GNSS-denied navigation<\/span><\/h5>\n

Navigating in areas where GNSS signal isn\u2019t reliable or available isn\u2019t a new challenge: organisations have been grappling with it for a number of years, as have we. In that time, a variety of solutions have been developed for navigating in indoor or underground environments, including using ultra-wideband (UWB), simultaneous localisation and mapping (SLAM), and solutions relying on magnetic strips in the ground.<\/span>\u00a0<\/span><\/p>\n

These solutions all have their uses and are effective in many ways, but also come with challenges:<\/span>\u00a0<\/span><\/p>\n

Some solutions rely on infrastructure being installed in the environment to work. This limits the operation of the vehicle to the area where the infrastructure is installed, which might not suit instances where testing doesn\u2019t happen in a fixed space.<\/span>\u00a0<\/span><\/p>\n

Many of these solutions often don\u2019t perform as well in outdoor environments as they do indoors (with the exception of magnetic strips). Using these solutions still leaves you with the challenge of moving <\/span>between<\/span><\/i> environments where you can navigate with GNSS data, and environments where there is no GNSS signal.<\/span>\u00a0<\/span><\/p>\n

At OXTS, we are championing the real-time fusion of additional sensor data into a GNSS\/INS to solve the challenge. By feeding data from sensors such as LiDAR into OXTS\u2019 navigation engine in our GNSS\/INS (where it can be combined with our inertial navigation data), we can provide <\/span>accurate navigation data in environments such as warehouses without needing to install infrastructure.<\/span>\u00a0<\/span><\/p>\n

Crucially, because the fusion is happening in the GNSS\/INS rather than in a different piece of hardware, it\u2019s possible to switch seamlessly to GNSS-aided navigation in areas where signal is strong enough. The result? A flexible navigation system that can handle any environment and move between environments with ease.<\/span>\u00a0<\/span><\/p>\n

For a while now, OXTS customers have been able to build these capabilities into their GNSS\/INS \u2013 if they were able to create their own algorithms for processing the data from their sensors that is. And that\u2019s where LiDAR Boost comes in.<\/span>\u00a0<\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n

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LiDAR Boost enanbles accurate urban navigation without GNSS<\/figcaption><\/figure>\n<\/div>\n\n\n
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LiDAR Boost: get real-time localisation data from your LiDAR<\/span><\/h5>\n

LiDAR Boost is a set of advanced algorithms that use data from any 32-laser, 360\u00b0 LiDAR to compensate for missing or erroneous GNSS updates in real time. It enables high-accuracy localisation in challenging GNSS conditions such as urban canyons, underground environments, or tunnels.<\/span>\u00a0<\/span><\/p>\n

In WayFinder, LiDAR Boost takes data from the integrated Hesai LiDAR scanners and passes it to the integrated OXTS GNSS\/INS automatically. You simply mount WayFinder to your vehicle, configure it, initialise, and you\u2019re ready to navigate. There\u2019s no integration work to do, no testing, no head-scratching when things seem like they should work but, for some reason, don\u2019t. Just real-time localisation in any environment.<\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n\n

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How does LiDAR Boost work?<\/span><\/h5>\n

Without GNSS<\/a> signal, any inertial navigation system\u2019s position data will start to drift as errors from the inertial measurement unit (IMU) begin to accumulate. LiDAR Boost constrains that drift to protect the accuracy of the data the GNSS\/INS produces.<\/span><\/p>\n

There are two main ways in which LiDAR Boost takes the data from a LiDAR scanner and turns it into data that an OXTS GNSS\/INS can use:<\/span>\u00a0<\/span><\/p>\n

+<\/span> Protect accuracy when GNSS is patchy or inaccurate with real-time LiDAR Inertial Odometry (LIO)\u00a0<\/strong><\/p>\n

LIO is an existing OXTS technology that analyses the data from a LiDAR scanner to detect planes and objects and track how they move between the \u2018frames\u2019 the LiDAR captures. That data is used to calculate relative velocity updates that an OXTS GNSS\/INS can use. <\/span>You can learn more about it in this blog<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n

LiDAR Boost takes that capability and executes it in real time. It\u2019s ideal for areas where GNSS signal is patchy, for temporary outages like tunnels, or to protect against multipath errors that are common when navigating through cities.<\/span><\/p>\n

+<\/span> Achieve <\/span>accurate<\/span> and c<\/span>ompletely repeatable performance with <\/span>L<\/span>ive <\/span>M<\/span>ap <\/span>M<\/span>atching<\/span> (LMM)<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n

If you have created a point cloud of a space, LMM can compare the data being gathered by the LiDAR scanner with that point cloud to produce position updates within that space. Because those position updates are based on the point cloud data, the results are completely repeatable \u2013 there is absolutely zero drift or variation.<\/span>\u00a0<\/span><\/p>\n

LMM is therefore perfect for activities such as ground truthing and autonomous navigation, where being able to guarantee repeatable results is vital.<\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n\n

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How can I get LiDAR Boost?<\/h4>\n\n \n\n\n \n\n\n\n
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LiDAR Boost is included in <\/span>Way<\/span>F<\/span>inder<\/span><\/a>. <\/span>Get in touch with<\/span> your <\/span>OXTS<\/span> account manage<\/span>r<\/span> if <\/span>you\u2019re<\/span> already a customer<\/span> to discuss ordering <\/span>WayFinder<\/span>, <\/span>or<\/span> complete the form below and a member of the team will be in touch.<\/span><\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n