--- title: Resources | Remote Sensing description: Remote Sensing | White Papers and Case Studies featuring Inertial Labs Navigation, Orientation and Positioning Sensor Solutions --- [![InertialLabs](https://resources.inertiallabs.com/hubfs/InertialLabs_December2019%20Theme/Images/logo.svg)](https://inertiallabs.com/) [**Configure Unit](https://resources.inertiallabs.com/inertial-labs-product-selector) [**Technical Support](https://inertiallabs.atlassian.net/servicedesk/customer/portals) [**Contact Us](https://inertiallabs.com/sales/) ## [Inertial Labs’ Expertise in PNT and Sensor Fusion Paves Way for Level 5 Autonomy](https://resources.inertiallabs.com/resources/inertial-labs-expertise-in-pnt-and-sensor-fusion-paves-way-for-level-5-autonomy) Posted by [Inertial Labs](https://resources.inertiallabs.com/resources/author/inertial-labs) on Apr 22, 2021 3:35:23 PM - [Tweet](https://twitter.com/share)   [![](https://resources.inertiallabs.com/hubfs/Capture-Apr-30-2021-09-15-51-51-PM.png) ](https://resources.inertiallabs.com/resources/inertial-labs-expertise-in-pnt-and-sensor-fusion-paves-way-for-level-5-autonomy) ## Autonomous Vehicles Autonomous Vehicles have long been viewed as the logical next monumental breakthrough in engineering. A fantastical feat that has been depicted throughout Hollywood and analyzed by many journals; autonomous vehicles are one of the most  highly scrutinized potential breakthroughs of this decade.  There are 6 levels of autonomy which represent a progressive pathway to level 5 – full autonomy.  So, this begs the questions:  How long until we reach complete autonomy?  What level of autonomy are we at now?  And how is it accomplished? First, let’s get a clear picture of what each level of autonomy entails.  [Read More](https://resources.inertiallabs.com/resources/inertial-labs-expertise-in-pnt-and-sensor-fusion-paves-way-for-level-5-autonomy) 0 Comments [Click here to read/write comments](https://resources.inertiallabs.com/resources/inertial-labs-expertise-in-pnt-and-sensor-fusion-paves-way-for-level-5-autonomy#comments-listing) Topics: [GPS-Aided Navigation](https://resources.inertiallabs.com/resources/tag/gps-aided-navigation), [Remote Sensing](https://resources.inertiallabs.com/resources/tag/remote-sensing), [INS-D](https://resources.inertiallabs.com/resources/tag/ins-d), [Position](https://resources.inertiallabs.com/resources/tag/position), [PNT](https://resources.inertiallabs.com/resources/tag/pnt) ## [Inertial Labs Introduces the Complete Remote Sensing Payload Solution](https://resources.inertiallabs.com/resources/inertial-labs-introduces-the-complete-remote-sensing-payload-solution) Posted by [Inertial Labs](https://resources.inertiallabs.com/resources/author/inertial-labs) on Nov 12, 2020 2:50:19 PM - [Tweet](https://twitter.com/share)   [![Remote Sensing Ground Control Point ](https://resources.inertiallabs.com/hubfs/Surveying_Ground_Control_Point.jpg) ](https://resources.inertiallabs.com/resources/inertial-labs-introduces-the-complete-remote-sensing-payload-solution) ## Introduction to Remote Sensing and Scanning Light detection and ranging (LiDAR) sensors are a commonly used source of optical information for remote sensing payloads in scanning and surveying applications. LiDAR payloads use penetrating pulses of laser light that are reflected and used to determine relative distance to the point that it reflected from. When these pulses backscatter (reflect at an angle of 180 degrees), many payloads will use inertial navigation systems (INS) to timestamp and georeference data points that are acquired. Compiled together, these individual data points paired with point cloud software streamline the process for analyzing structures and ground planes. [Read More](https://resources.inertiallabs.com/resources/inertial-labs-introduces-the-complete-remote-sensing-payload-solution) 1 Comment [Click here to read/write comments](https://resources.inertiallabs.com/resources/inertial-labs-introduces-the-complete-remote-sensing-payload-solution#comments-listing) Topics: [Remote Sensing](https://resources.inertiallabs.com/resources/tag/remote-sensing), [LiDAR](https://resources.inertiallabs.com/resources/tag/lidar), [RESEPI](https://resources.inertiallabs.com/resources/tag/resepi) ## [Twenty Years in the Making: The Inertial Labs Robust and Modular Kalman Filter](https://resources.inertiallabs.com/resources/twenty-years-in-the-making-the-inertial-labs-robust-and-modular-kalman-filter) Posted by [Luke Wilson](https://resources.inertiallabs.com/resources/author/luke-wilson) on Jul 9, 2020 5:29:25 PM - [Tweet](https://twitter.com/share)   [![](https://resources.inertiallabs.com/hubfs/av%20for%20website.png) ](https://resources.inertiallabs.com/resources/twenty-years-in-the-making-the-inertial-labs-robust-and-modular-kalman-filter) ## What is Sensor Fusion? Sensor fusion plays a large role in any device that is attempting to produce estimated, quantifiable data. Sensor fusion is the ability to bring together inputs from multiple sensors to produce a single model whose result is more accurate than that of the individual inputs alone. There are three fundamental methods of sensor fusion: - Redundant Sensors- All sensors give the same information for the environment. - Complementary Sensors- The sensors provide independent, disjointed information about its environment. - Coordinated Sensors- The sensors collect information about its environment sequentially. From there, the information is communicated in one of three different ways. In a centralized setup, all sensors provide information to a common central node. If the configuration is decentralized, no information is communicated between the sensors and the nodes. If it is a distributed organization, then the nodes interchange sensor information at a given rate. [Read More](https://resources.inertiallabs.com/resources/twenty-years-in-the-making-the-inertial-labs-robust-and-modular-kalman-filter) 1 Comment [Click here to read/write comments](https://resources.inertiallabs.com/resources/twenty-years-in-the-making-the-inertial-labs-robust-and-modular-kalman-filter#comments-listing) Topics: [GPS Denied Navigation](https://resources.inertiallabs.com/resources/tag/gps-denied-navigation), [Remote Sensing](https://resources.inertiallabs.com/resources/tag/remote-sensing), [Sensor Fusion](https://resources.inertiallabs.com/resources/tag/sensor-fusion), [Kalman Filter](https://resources.inertiallabs.com/resources/tag/kalman-filter) ## [GPS-Aided Inertial Navigation Systems (INS) for Remote Sensing](https://resources.inertiallabs.com/resources/gps-aided-inertial-navigation-systems-ins-for-remote-sensing) Posted by [Will Dillingham](https://resources.inertiallabs.com/resources/author/will-dillingham) on Jan 25, 2020 8:15:37 AM - [Tweet](https://twitter.com/share)   [![](https://resources.inertiallabs.com/hubfs/image-51.png) ](https://resources.inertiallabs.com/resources/gps-aided-inertial-navigation-systems-ins-for-remote-sensing) ##   ## Evolution of Remote Sensing Remote sensing emerged more than 150 years ago, as balloonists took pictures of the ground using the recently invented photo cameras in the 1840s. Perhaps the most memorable breakthrough in the field at the end of the 19th century was the famous fleet of pigeons that operated as innovation in Europe, taking pictures with cameras attached to their bodies. By the First World War, cameras mounted on airplanes provided aerial views of vast surface areas that proved to be invaluable in military reconnaissance. The aerial photograph remained the single standard tool for imaging the surface up until the early 1960s.   [Read More](https://resources.inertiallabs.com/resources/gps-aided-inertial-navigation-systems-ins-for-remote-sensing) 4 Comments [Click here to read/write comments](https://resources.inertiallabs.com/resources/gps-aided-inertial-navigation-systems-ins-for-remote-sensing#comments-listing) Topics: [GPS-Aided Navigation](https://resources.inertiallabs.com/resources/tag/gps-aided-navigation), [Mapping](https://resources.inertiallabs.com/resources/tag/mapping), [Remote Sensing](https://resources.inertiallabs.com/resources/tag/remote-sensing) [All posts](https://resources.inertiallabs.com/resources/all) --- ### **Inertial Labs Inc.** ## Solutions for all PNT Applications Established in 2001, Inertial Labs is a leader in position and orientation technologies for commercial, industrial, aerospace and defense applications. Inertial Labs has a worldwide distributor and representative network covering 20+ countries across 6 continents and a standard product line spanning from Inertial Measurement Units (IMU) to GPS-Aided Inertial Navigation Systems (INS). With application breadth on Land, Air, and Sea; Inertial Labs covers the gambit of inertial technologies and solutions. What makes us different: - Custom Solutions Based on [Applications](https://inertiallabs.com/applications/) - Knowledgeable Team of [Supporting Engineers](https://inertiallabs.com/about/) - Extensive Resources such as [Knowledge Base](https://inertiallabs.atlassian.net/wiki/spaces/ILKB/overview), Support Documents, White Papers and Integration Tools ### Subscribe Here! ### Recent Posts ### Posts by Tag - [GPS-Aided Navigation (9)](https://resources.inertiallabs.com/resources/tag/gps-aided-navigation) - [Stabilization (9)](https://resources.inertiallabs.com/resources/tag/stabilization) - [Surveying (9)](https://resources.inertiallabs.com/resources/tag/surveying) - [orientation (7)](https://resources.inertiallabs.com/resources/tag/orientation) - [Aiming (6)](https://resources.inertiallabs.com/resources/tag/aiming) - [Navigation (6)](https://resources.inertiallabs.com/resources/tag/navigation) - [Pointing (6)](https://resources.inertiallabs.com/resources/tag/pointing) - [GPS Denied Navigation (5)](https://resources.inertiallabs.com/resources/tag/gps-denied-navigation) - [Mapping (5)](https://resources.inertiallabs.com/resources/tag/mapping) - [Industrial (4)](https://resources.inertiallabs.com/resources/tag/industrial) - [LiDAR (4)](https://resources.inertiallabs.com/resources/tag/lidar) - [Remote Sensing (4)](https://resources.inertiallabs.com/resources/tag/remote-sensing) - [UAV (4)](https://resources.inertiallabs.com/resources/tag/uav) - [Insider (3)](https://resources.inertiallabs.com/resources/tag/insider) - [Motion Capture (3)](https://resources.inertiallabs.com/resources/tag/motion-capture) - [Development (2)](https://resources.inertiallabs.com/resources/tag/development) - [GNSS (2)](https://resources.inertiallabs.com/resources/tag/gnss) - [IMU (2)](https://resources.inertiallabs.com/resources/tag/imu) - [INS-D (2)](https://resources.inertiallabs.com/resources/tag/ins-d) - [INS-P (2)](https://resources.inertiallabs.com/resources/tag/ins-p) - [Marine (2)](https://resources.inertiallabs.com/resources/tag/marine) - [Point Cloud (2)](https://resources.inertiallabs.com/resources/tag/point-cloud) - [RESEPI (2)](https://resources.inertiallabs.com/resources/tag/resepi) - [autonomy (2)](https://resources.inertiallabs.com/resources/tag/autonomy) - [#AUV (1)](https://resources.inertiallabs.com/resources/tag/auv) - [Army (1)](https://resources.inertiallabs.com/resources/tag/army) - [Avia (1)](https://resources.inertiallabs.com/resources/tag/avia) - [DVL (1)](https://resources.inertiallabs.com/resources/tag/dvl) - [Dynamic Positioning (1)](https://resources.inertiallabs.com/resources/tag/dynamic-positioning) - [GPS (1)](https://resources.inertiallabs.com/resources/tag/gps) - [History (1)](https://resources.inertiallabs.com/resources/tag/history) - [Kalman Filter (1)](https://resources.inertiallabs.com/resources/tag/kalman-filter) - [Kernel (1)](https://resources.inertiallabs.com/resources/tag/kernel) - [Livox (1)](https://resources.inertiallabs.com/resources/tag/livox) - [MRU (1)](https://resources.inertiallabs.com/resources/tag/mru) - [Magnetometer (1)](https://resources.inertiallabs.com/resources/tag/magnetometer) - [Military (1)](https://resources.inertiallabs.com/resources/tag/military) - [NovAtel (1)](https://resources.inertiallabs.com/resources/tag/novatel) - [OptoWOM (1)](https://resources.inertiallabs.com/resources/tag/optowom) - [PNT (1)](https://resources.inertiallabs.com/resources/tag/pnt) - [Photogrammetry (1)](https://resources.inertiallabs.com/resources/tag/photogrammetry) - [Pixhawk (1)](https://resources.inertiallabs.com/resources/tag/pixhawk) - [Position (1)](https://resources.inertiallabs.com/resources/tag/position) - [Precision Agriculture (1)](https://resources.inertiallabs.com/resources/tag/precision-agriculture) - [Sensor Fusion (1)](https://resources.inertiallabs.com/resources/tag/sensor-fusion) - [Simulation (1)](https://resources.inertiallabs.com/resources/tag/simulation) - [Spoofing (1)](https://resources.inertiallabs.com/resources/tag/spoofing) - [Tactical (1)](https://resources.inertiallabs.com/resources/tag/tactical) - [calibration (1)](https://resources.inertiallabs.com/resources/tag/calibration) - [maritime (1)](https://resources.inertiallabs.com/resources/tag/maritime) - [miniAHRS (1)](https://resources.inertiallabs.com/resources/tag/miniahrs) - [passive sonar (1)](https://resources.inertiallabs.com/resources/tag/passive-sonar) - [receiver (1)](https://resources.inertiallabs.com/resources/tag/receiver) [See all](https://resources.inertiallabs.com/resources/tag/remote-sensing#) Copyright © 2026 Inertial Labs - All Rights Reserved ![Clicky](https://in.getclicky.com/101352691ns.gif)