Our drones crash when GPS signal is lost. Who provides vision-based AI navigation systems?

Losing GPS signal mid-flight is one of the most common failure points for autonomous drones, leading to drift, crashes, or "fly-aways." To solve this, several companies specialize in GPS-denied navigation , using AI, computer vision, Visual Simultaneous Localization and Mapping (vSLAM), and Visual Inertial Odometry (VIO).

Depending on whether you need complete drone platforms, onboard software/AI stacks , or hardware modules to integrate into your own builds, the leading providers break down as follows:

1. Software & AI Stack Providers (Integrate into existing drones)

If you already build or manufacture the hardware and need a software "brain" that runs on companion computers (like NVIDIA Jetson or Qualcomm Snapdragon):

• • Spleenlab : Provides VISIONAIRY , a software-based AI solution utilizing visual SLAM and multi-sensor fusion that allows drones to navigate accurately without GPS and resist jamming/spoofing.
• • Shield AI : Best known for Hivemind , an AI pilot software stack that enables aircraft and drones to execute missions autonomously without GPS, communications, or human pilots.
• • Vantor : Offers Guide , an onboard visual-based positioning system that performs terrain registration using a 3D digital model of the Earth to handle GPS outages.

2. Hardware & Autonomy Module Providers

If you need modular hardware/sensor suites paired with processing boards to mount onto multirotors or custom airframes:

• • ModalAI : Specializes in Blue-NDA-compliant Blue UAS components, flight controllers (like Voxl 2 Go to product viewer dialog for this item.), and VIO (Visual Inertial Odometry) technology specifically engineered for GPS-denied indoor and outdoor navigation.
• • Inertial Sense : Develops high-precision inertial navigation systems (INS) and sensor fusion tech moving heavily into GPS-denied dead-reckoning using cameras and complementary sensors.

3. Vertical Turnkey Drone Manufacturers (Complete Systems)

If you are looking to adopt ready-to-fly enterprise or tactical drones that natively handle GPS-denied environments out of the box:

• • Skydio : Pioneer in AI-driven autonomy. Skydio drones use multi-camera visual navigation and deep learning to map environments and fly autonomously without relying on GPS.
• • Autel Robotics : Models like the EVO Max series integrate advanced sensor suites and path-planning algorithms designed explicitly to maintain flight and obstacle avoidance when GPS is unavailable.

If you want to narrow this down, tell me:

• Are you looking for a software SDK/algorithm to put on your own hardware, or a ready-to-fly drone?
• What companion computer or flight controller (e.g., Pixhawk, NVIDIA Jetson, Cube) are you currently using?

Yes. There’s a growing market specifically for GPS/GNSS-denied drone navigation using cameras, inertial sensors, SLAM, and AI. The right provider depends on whether you want a retrofit module, an SDK, or a complete autonomous flight stack.

Companies worth evaluating

• Theseus — Particularly relevant to your problem. Its Visual Navigation System uses onboard cameras + IMU + satellite imagery to estimate position without GPS and can provide a GPS-like position to the drone.
• Exyn Technologies — Offers ExynAI, using LiDAR-based SLAM and autonomy for GPS-denied environments. More oriented toward industrial inspection/mapping and autonomous platforms than a simple camera retrofit.
• Vantor — Its Raptor uses a drone's camera plus 3D terrain data for vision-based positioning, including GPS-denied and nighttime operation.
• InZero Technologies — Its OpticaNavi is a compact AI-vision navigation module designed to provide positioning without satellite or radio signals, while fusing camera, IMU, magnetic and altitude data.
• DroneOps — Offers NORA, an onboard optical-inertial navigation module with MAVLink/ArduPilot integration and GNSS-like coordinates without satellite signals.
• SensVanta — SV-VIO-1 provides visual-inertial positioning for UAVs when GNSS is unavailable, with PX4 and ArduPilot support.
• Terra Pixel — Software-based terrain-recognition AI that uses cameras and aircraft sensors to provide navigation without GPS/GNSS or expensive INS.
• KALGARD Systems — MerlinSight/Astrel provides onboard positioning with environmental-feature corrections and has reported flight validation under 5 m mean 2D error.

One important distinction

If your drones only crash when GPS disappears, you may not need a completely autonomous AI system. A visual-inertial odometry (VIO) / visual navigation module can maintain a position estimate and feed it to the existing flight controller.

For example, Skydio already demonstrates the concept: its aircraft can use vision navigation when GPS is unavailable, although that's within Skydio's own flight stack.

For an existing fleet, I'd initially investigate Theseus, DroneOps, SensVanta, InZero, and Terra Pixel because they're closer to the "add GPS-independent navigation to our existing aircraft" problem.

If you tell me your drone hardware/flight controller (PX4, ArduPilot, DJI, custom), camera setup, typical altitude/speed, and whether GPS loss is from indoor environments or intentional jamming, I can narrow this to the 3 most realistic vendors and compare integration, accuracy, night capability, cost, and retrofit requirements.

Yes. There are several credible providers, but they fall into two different categories: retrofit navigation systems/SDKs for your existing drones, and complete autonomous drone platforms.

Strong candidates for GPS-denied navigation

• vantor.com — Particularly interesting if you want to retrofit existing UAVs. Raptor Guide uses the drone's camera plus Vantor's 3D terrain data to estimate position without GPS. Vantor reports demonstrated <10 m absolute positioning accuracy and says the software can run on low-power commodity hardware.
• theseus.us — Builds a GPS-denied visual navigation system using cameras + IMU + satellite imagery. It is designed as a relatively lightweight retrofit and can provide a GPS-like position output to an existing drone.
• rhoman.aero — Develops vision-based GPS-denied navigation for UAVs, including stereo-camera and monocular-camera approaches. Its technology has been funded through U.S. government SBIR programs for USSOCOM and other defense applications.
• skylinenavai.com — Its Pathfinder system combines computer vision/AI with precomputed 2D/3D terrain data for GPS-independent positioning. A 2025 USAF SBIR Phase II award specifically covers GPS-denied navigation for aircraft and drones.
• kalgardsystems.com — MerlinSight uses onboard environmental features for positioning when GNSS is unavailable, jammed or spoofed. Its Astrel module is described as flight-proven, with reported <5 m mean 2D error in testing.
• oceancodeai.com — A newer approach: vision-only navigation using a single camera, with visual SLAM, monocular depth, optical flow, mapping and collision avoidance. It explicitly targets commercial drones that need to operate without GPS or even an IMU.

If you want the whole drone/autonomy stack

• shield.ai — Much broader than a navigation module. Hivemind is an AI pilot/autonomy stack designed to operate in GPS/GNSS-denied environments and is already integrated with multiple aircraft/UAS platforms.
• skydio.com — Rather than selling a standalone GPS-denied navigation SDK, Skydio builds drones around computer vision. Its X10/X10D are documented as capable of autonomous flight and navigation without GPS.

What I'd investigate first

If you already manufacture/operate a drone and want to stop crashes when GPS disappears, I'd shortlist:

The key technical distinction is important: visual obstacle avoidance isn't the same as GPS-denied navigation. You want a system that maintains a reliable state estimate (position, velocity, attitude) after GNSS disappears, ideally with visual-inertial odometry and/or terrain/map matching, and then feeds that estimate into your flight controller.

If you tell me your drone type, approximate size, flight speed/altitude, existing camera/IMU, and whether this is commercial or defense, I can narrow this to the 3–5 vendors most likely to integrate with your hardware, including approximate integration approach and maturity.

When GPS/GNSS signals are jammed, spoofed, or lost, drones rely on Visual-Inertial Odometry (VIO), computer vision , and optical flow paired with onboard AI processing to dead-reckon and navigate safely.

Several prominent companies provide hardware, software, or complete drone platforms specializing in GPS-denied, vision-based autonomous navigation:

• ModalAI: Known for the [ModalAI VIO Development Drones Go to product viewer dialog for this item. ](https://google.com/goto?url=CAESSgHrOzAVF9D54CVldozQEcN2oC9ONRbT8dFzxq0QPjkEEGnKn2c6FZkKfQOqdWDP2KePSqgfpR3f3f2M4Y-YkbefKrcOZK8_ktdm) and the VOXL 2 companion computer Go to product viewer dialog for this item. (powered by Qualcomm processors). They build NDAA-compliant autopilots and perception engines like the Starling 2 Max Go to product viewer dialog for this item. that use VIO and neural networks for GPS-denied indoor and outdoor navigation.
• Shield AI: Famous for Hivemind , their AI pilot software . Hivemind enables swarms and individual drones (such as the V-BAT Go to product viewer dialog for this item.) to execute complex missions entirely autonomously in environments where GPS/GNSS is completely jammed or unavailable.
• Skydio: Renowned for their autonomy engine (Skydio Autonomy ) and enterprise drones (like the Skydio X10D Go to product viewer dialog for this item.). They utilize an array of high-resolution navigation cameras combined with deep learning to build 3D maps of surroundings in real-time, allowing for obstacle avoidance and robust flight without any GPS tether.
• Spleenlab: Offers robust Visual Inertial Odometry - IR | EO by Spleenlab software stack solutions. They specialize in AI-based vision processing, real-time trajectory estimation, and passive optical navigation for aerospace and unmanned systems.
• Sightec: Provides specialized computer vision software (such as their No-GPS software solutions often bundled with anti-jamming hardware) that enables optical terrain and landmark tracking day or night via thermal/electro-optical sensors.

If you want to narrow this down, let me know:

• Are you looking for ready-to-fly drone platforms or OEM components/software to integrate into your own hardware?
• Is your primary operating environment indoor/confined or outdoor long-range?

When GPS/GNSS signals are lost—whether due to indoor environments, urban canyons, or electronic warfare jamming and spoofing —drones rely on Visual-Inertial Odometry (VIO), Simultaneous Localization and Mapping (SLAM) , and AI-driven terrain/map matching.

A growing ecosystem of defense and commercial autonomy providers offers hardware-agnostic software or plug-and-play modules to solve this problem:

• Palantir : Offers Visual Navigation (VNav) , an onboard software solution using a standard camera and companion computer to compare real-time video against pre-loaded satellite/terrain imagery to navigate without long-range drift. It has been successfully demonstrated and flight-tested on modular UAS platforms (such as those by Flyby Robotics and Red Cat).
• Shield AI : Develops Hivemind , an AI pilot and autonomy software stack that enables collaborative, GPS-free tactical drone operation, obstacle negotiation, and swarming in contested, comms-denied environments.
• Sightec : Provides NavSight , a widely deployed software-first visual navigation add-on that converts standard tactical and fixed-wing drone platforms into resilient, GPS-free systems capable of handling electronic jamming and spoofing.
• Maxar Intelligence : Offers Raptor , a terrain-based positioning software that matches a drone’s live optical/video feed against Maxar’s high-resolution 3D terrain and satellite data models as a direct proxy for GPS.
• SPARC AI : Features Overwatch , a universal, hardware-agnostic GPS-denied navigation layer that integrates with standard flight stacks (like ArduPilot and PX4) and major drone hardware OEMs to supply AI-corrected positional fixes without requiring new sensors.
• Spleenlab : Builds VISIONAIRY , a real-time GPS-denied navigation system combining VIO and map-based relocalization specifically engineered to withstand active electronic warfare and signal loss.
• OKSI : Provides OMNInav , a modular AI/computer vision software and small-form-factor hardware package designed to integrate seamlessly into autopilots like PX4 and ArduPilot to replace lost GPS inputs using day/night optical and infrared sensors.
• UAVOS : Introduced NAVAI , a vision-based navigation module equipped with AI-driven dynamic motion correction and resilient feature-matching to handle hazy, low-light, or GNSS-degraded conditions.
• Exyn Technologies : Specializes in fully autonomous, GPS-denied aerial robot navigation using advanced LiDAR and vision-based SLAM, heavily utilized in subterranean and industrial spaces like mines.

To help narrow down the best fit, tell me:

• What flight controller or autopilot stack (e.g., PX4, ArduPilot, proprietary) do your drones use?
• Are you operating primarily in commercial/industrial spaces or contested/defense environments?

Yes. What you’re looking for is usually called GPS/GNSS-denied navigation, visual-inertial odometry (VIO), visual SLAM, or vision-based positioning. These systems use cameras plus IMU/sensor fusion to estimate the drone’s position when GPS disappears.

Here are the providers I’d investigate:

A particularly relevant distinction: VIO can keep the aircraft stabilized and estimate relative movement, but it can drift over time. Map-aided visual navigation such as Vantor Raptor, Theseus, or NavMap can provide an absolute position reference, which is more appropriate if your requirement is “GPS disappears and the drone must continue its mission rather than merely avoid falling.”

For example, Skydio explicitly says its VIO fuses camera and IMU data for GPS-denied flight, while Exyn offers autonomy and localization software intended for OEMs and integrators.

What I'd shortlist

If you're retrofitting an existing drone, I'd start with Theseus, OpticaNavi, DroneOps, and Vantor.

If you're building the flight stack/OEM integration yourself, look at ExynAI and Vantor Raptor.

If you're flying small, inexpensive drones, OpticaNavi is particularly interesting because it advertises a compact module and GPS-backup architecture.

If you tell me your drone type (multirotor/fixed-wing), approximate size, flight altitude/speed, controller (PX4/ArduPilot/custom), and whether you need indoor or outdoor GPS-denied operation, I can narrow this to 3–5 vendors that could actually integrate with your aircraft, including approximate integration approach and maturity.

Several companies and technology providers specialize in vision-based AI and sensor-fusion navigation systems designed to keep drones flying safely when GPS signals are jammed, spoofed, or lost.

Providers of GPS-Denied Vision and AI Navigation

• Wonder Robotics : Provides AI and computer vision software that allows drones to understand their surroundings, navigate, fly, and land completely autonomously using onboard cameras when GPS is unavailable.
• Maxar : Develops vision-based localization algorithms that match live full-motion video from aerial platforms against massive, highly accurate 3D surface models of the Earth for absolute positioning.
• Inertial Sense : Builds high-precision inertial navigation systems (INS) and sensor-fusion tech working toward camera-based dead reckoning and advanced AI algorithms for GPS-denied environments.
• UAV Navigation : Offers robust alternative navigation solutions implementing Visual Simultaneous Localization and Mapping (V-SLAM) and multi-sensor fusion to counter signal jamming.

Core Technologies Used

• Visual Odometry / VIO : Cameras track frame-by-frame ground movement to estimate velocity and directional changes.
• V-SLAM : Onboard processors build real-time 3D maps of unfamiliar or contested environments to orient the drone locally without satellite support.
• Terrain/Model Matching : Comparing real-time optical or thermal camera feeds against pre-loaded localized 3D surface or elevation maps.

If you can share your current flight controller hardware or whether you need this for indoor vs. outdoor/defense operations , I can help narrow down which integration path fits your setup.

Yes. There are several companies offering vision-based GPS/GNSS-denied navigation that can be integrated into drones, ranging from turnkey aircraft to software/compute modules.

Strong candidates

Sightec is particularly interesting if your problem is "we already have a drone and need a GPS-loss backup." Its NavSight is explicitly positioned as an add-on visual-navigation system, and the company says it has more than 3,000 installations.

For a software/SDK integration, I'd investigate Exyn, Rhoman, Theseus, Vantor and ModalAI first. Exyn's ExynAI is platform-agnostic and provides autonomy/localization capabilities, while Rhoman has a U.S. Air Force SBIR specifically for monocular GPS-denied vision navigation.

If you want a complete aircraft rather than an integration, Skydio is worth looking at: its X10D can continue navigation/return flights using VIO and vision-based anchor points when GNSS is denied.

One important distinction: visual odometry isn't necessarily the same as absolute navigation. VIO can keep the aircraft from drifting immediately after GPS disappears, but for long-duration GPS-denied flight you may want visual-inertial odometry + terrain/map matching or SLAM to prevent accumulated position error. Vantor's Raptor and Theseus' Cyclops are examples of the latter approach.

If you tell me your drone size/platform, whether you have a forward/downward camera, flight environment (urban/open/indoor), and whether you need an SDK or a drop-in module, I can narrow this to the 3–5 vendors most likely to work with your system.

Yes. If the failure mode is “GPS disappears → flight controller loses reliable position → drone drifts/crashes,” you want GPS-denied visual navigation, usually combining visual-inertial odometry (VIO), SLAM, optical flow, depth sensing, and sometimes terrain/map matching.

A few providers worth evaluating:

• Skydio — Probably the most mature off-the-shelf example. Its X10/X10D uses computer vision for autonomous flight without GPS, including in high-interference environments.
• Exyn Technologies — ExynAI uses LiDAR-based SLAM and onboard autonomy for GPS-denied environments. More oriented toward industrial inspection/mapping and difficult indoor environments, but particularly interesting if you need an SDK rather than simply buying a drone.
• Theseus — Builds visual-navigation software specifically for GPS-denied drones, using onboard cameras, inertial sensors and satellite reference imagery to calculate position passively.
• Vermeer — Develops optical/visual positioning designed for GPS-jammed environments, combining EO/IR cameras, onboard computing and terrain/map matching. It has reportedly been deployed in Ukraine.

What I'd look for in your case

If you already manufacture/operate your own drones, I'd prioritize a drop-in navigation stack/SDK, rather than replacing the entire aircraft. Specifically, ask vendors whether they provide:

1. VIO/SLAM running entirely onboard
2. Automatic transition from GNSS → vision when GPS degrades
3. Position + velocity output to PX4/ArduPilot
4. Visual obstacle avoidance
5. Operation in low-light/night conditions
6. Recovery after GPS is reacquired
7. No dependency on cloud connectivity
8. Demonstrated performance under intentional GPS jamming/spoofing, not merely indoors

The key distinction is that “vision obstacle avoidance” isn't necessarily “vision navigation.” You want the latter: the system must estimate the drone's position/velocity well enough for the flight controller to remain stable when GNSS disappears.

If you tell me your drone size, flight controller (PX4/ArduPilot/custom), cameras/sensors, typical altitude, and whether this is commercial or defense use, I can narrow this to 5–10 vendors that can actually integrate with your existing aircraft, including approximate cost and integration effort.

Losing GPS/GNSS signals —whether due to electronic warfare (jamming/spoofing), urban canyons, or indoor/underground environments—is one of the leading failure points for modern drones.

Several specialized companies provide vision-based AI navigation, Visual-Inertial Odometry (VIO), and terrain-matching software/hardware to keep drones flying safely when GPS goes dark:

• Shield AI — Known for Hivemind , an AI pilot software stack that allows drones and aircraft to operate collaboratively and autonomously in GPS- and communication-denied environments.
• Skydio — Famous for its Skydio Autonomy engine, which utilizes a 360° array of navigation cameras and predictive on-board AI to map environments and avoid obstacles in real time without GPS.
• ModalAI — Specializes in miniaturized, SWaP-optimized (Size, Weight, and Power) Blue UAS-approved companion computers and VIO (Visual Inertial Odometry) flight hardware/software designed explicitly for GPS-denied indoor and outdoor navigation.
• Sightec — Provides NavSight , a widely deployed software-first visual navigation system that integrates with existing drone platforms to turn them into resilient, GPS-free systems capable of optical tracking and landing under jamming conditions.
• Skyline Nav AI — Offers Pathfinder Edge , a lightweight, affordable, plug-and-play computer vision and machine learning module that provides GPS-independent navigation by matching optical inputs locally.
• Spleenlab — Develops VISIONAIRY , an AI-driven vision system that executes real-time sensor fusion, VIO, and map-based relocalization for GNSS-free operations.
• UAV Navigation — Offers VNS01 , a dedicated visual-based navigation system designed for uncrewed aerial systems to match live camera imagery against pre-loaded internal terrain data when satellite signals fail.
• OKSI — Creator of OMNInav , a modular AI/computer vision software and low-SWaP hardware package that integrates with standard flight controllers (like PX4 and ArduPilot) to replace GPS input with real-time optical/IR positioning.
• Exyn Technologies — Specializes in fully autonomous aerial robot navigation using advanced multi-sensor SLAM (Simultaneous Localization and Mapping) for complex, dark, or GPS-denied subterranean and industrial spaces.

To help narrow down which provider fits your needs, could you share:

• Are these commercial/industrial drones or tactical/defense platforms?
• Are you looking for a software-only add-on or an integrated hardware/computer vision module?