LPVISION-HeadPose Tracker: Simplifying Head Tracking for AI-Driven Spatial Computing

10/07/2026
Blog, Product, Projects

Recently, at LP-Research, we have been working to simplify AI-driven spatial computing through a reliable, markerless head-tracking solution. The LPVISION-HeadPose Tracker is the result: an advanced 6DOF system that uses a standard RGB camera and advanced AI. By doing so, it eliminates the need for infrared (IR) camera arrays, reflective markers, or tracking hats.

To ensure the experience feels fluid and responsive, the system utilizes specialized digital smoothing. This provides stable, high-precision tracking that feels natural—without the lag or jitter typically associated with webcam-based setups.

What is the LPVISION-HeadPose Tracker?

At its core, the LPVISION-HeadPose Tracker is an intelligent software engine that understands how a user moves their head in real-time. Instead of relying on physical markers or heavy external sensors, it uses advanced AI to interpret natural facial structures and head movements through a standard RGB camera.

Moreover, the tracker is a core component of the LPVIZ ecosystem. In this capacity, it serves as a plug-and-play replacement for complex IR-based tracking setups, allowing users to access the full capability of LPVIZ with a significantly reduced hardware footprint.

Key Advantages Over Traditional IR Tracking

lpvision-hardware comparison

Historically, traditional high-quality motion capture has required bulky infrared camera arrays, room-scale calibration, and intrusive reflective markers or tracking hats. However, the LPVISION-HeadPose Tracker changes the equation across four key dimensions:

  • Markerless Operation via Facial Landmark Detection

First, the system utilizes AI-powered facial landmark detection and Computer Vision techniques to track head orientation and position continuously. Because of this, there is no rigid bodies, no reflective markers, and no physical contact with tracking gear required. Ultimately, this creates a non-intrusive experience.

  • Single RGB Camera Replaces Multi-Camera IR Arrays

Additionally, we have replaced expensive, multi-camera IR setups with a single, compact RGB camera — such as the Stereolabs ZED camera line. Therefore, this dramatically reduces hardware cost and physical setup complexity, while maintaining the precision required for industrial and spatial computing applications.

  • Zero-Contact Setup and Instant Deployment

Furthermore, you can go from zero to tracking instantly. In fact, there is no room-scale calibration, no physical mounting of tracking gear on the user, and no warm-up procedure needed. Consequently, the natural user experience means deployment in the field is as simple as launching the software.

  • Optimal for Vehicle-in-the-Loop and Cockpit Environments

Finally, unlike stationary IR camera arrays, this tracker is engineered for dynamic environments. Particularly, it is optimal for vehicle-in-the-loop (ViL) testing and flight cockpit applications — scenarios where traditional IR-based systems are difficult to setup due to limited space and dynamic lighting conditions.

System Performance at a Glance

 

The table below summarizes a comparison between LPVISION-HeadPose Tracker and Traditional Marker-Based Systems: 

Feature

LPVISION-HeadPose Tracker

Marker-Based  Tracking Systems

Setup effort

Instant – No markers needed

High – Requires reflective markers & calibration

User experience

Natural – No physical contact with gear

Intrusive – Users must wear tracking gear

Accuracy

High – Sub-cm error

Gold standard – Sub-millimeter error

Cost

Affordable – Standard RGB camera + software

Enterprise -Specialized IR camera + software

See It in Action

For a practical demonstration, the video below demonstrates real-time markerless head tracking using the LPVISION-HeadPose Tracker with a standard RGB camera in a live environment.

Designed for AR Glass-Style HMDs

Naturally, to maintain the highest level of accuracy, the LPVISION-HeadPose Tracker requires a clear line of sight to the user’s facial features. Therefore, this makes it the ideal companion for AR glass-style HMDs — sleek, open-face augmented reality devices where user comfort and natural interaction are the priority. For tracking standard VR headsets, please refer to our LPVR product line.

Integration with the LPVIZ Ecosystem

In addition, the LPVISION-HeadPose Tracker is a cornerstone of the LPVIZ platform. It is designed to act as a drop-in replacement for complex IR-based tracking setups, thereby enabling your team to enjoy the full power of LPVIZ with a significantly reduced hardware footprint.

Ultimately, by reducing the time and cost of industrial prototyping, we empower engineering and research teams to focus on innovation rather than calibration. Specifically, the tracker integrates directly into our existing LPVIZ workflow with no additional configuration required.

Ready to Transition to Markerless Tracking?

In conclusion, if you are building advanced AR or spatial computing systems and need precise, low-latency tracking that works in the real world, the LPVISION-HeadPose Tracker is ready for deployment. Contact our team today to schedule a live technical demo or to discuss how the LPVISION and LPVIZ systems can be integrated into your existing workflow.

Strategic Partnership Statement: ART, LP-Research, and Hololight

08/06/2026
Blog, Media

Precision without Limits:
ART, LP-Research, and Hololight,
Redefine Infrastructure for Professional VR and AR

  1. The Vision

As digital data and physical environments continue to merge, Hololight, Advanced Realtime Tracking (ART), and LP-Research announce their technological collaboration. The objective is to create an integrated infrastructure for demanding VR and AR applications that combines maximum precision with peak performance and data security regardless of the deployment location.

  1. The Technological Value Chain

The partnership offers a seamless solution covering the entire process from high-precision data acquisition to fluid visualization:

  • Precise Acquisition (ART): Professional infrared tracking systems provide high-accuracy 6DOF data, establishing a stable and absolute spatial reference for headsets and objects within any defined volume. By capturing high-precision ground-truth positioning, ART ensures the fundamental alignment necessary for complex industrial environments.
  • Intelligent Refinement (LP-Research): Leveraging over a decade of specialized expertise, these state-of-the-art inertial-optical algorithms bridge the gap between raw tracking data and hardware response. This technology eliminates jitter and achieves ultra-low latency through predictive motion modeling. Optimized for diverse hardware platforms, it ensures a seamless, high-quality experience in both static and highly dynamic environments.
  • Centralized Calculation and Streaming (Hololight): All data is processed centrally on high-performance cloud or on-premise infrastructure. Using proprietary XR streaming technology, the rendered environment is pixel-streamed to the headset in real time. This architecture enables the visualization of massive and high-poly scenarios, bypassing the hardware and performance limitations of mobile end-devices.
  1. Decisive Value for Professional Users

This trio provides the necessary robustness for mission-critical applications (includes scenarios where line-of-sight might be lost):

  • Limitless Performance: Complex visualizations and simulations are no longer restricted by the limited processing power of mobile headset chips.
  • Maximum Data Security: Since the complete calculation takes place centrally, sensitive project data remains securely on the server and is never stored locally on the end device.
  • No Trade-Offs: The content overlays are as stable as rendered with native tracking directly on the headset, and with the increased accuracy of ART tracking.
  • Absolute Stability: The combined tracking expertise guarantees jitter-free overlay of digital content, where you expect them to be and stay there, even with multiple users and during the most violent movements. This stability is critical for high-stakes training, high-precision prototyping, and technical development.
  1. Outlook

The partners are continuously evaluating the technology in challenging scenarios. These range from stationary setups in development to applications on mobile platforms to perfect the interaction between humans, machines, and digital data in every professional environment. Joint developments will be presented at upcoming industry events and technical showcases.

ART TECHDAY on June 24, 2026 near Weilheim, Germany:
www.ar-tracking.com/en/art-techday-2026

About Advanced Realtime Tracking (ART) 

Since 1999, Advanced Realtime Tracking GmbH & Co. KG is one of the leading manufacturers of premium optical motion tracking systems for Virtual, Augmented and Mixed Reality (VR/AR/MR). Typical customers and users are the automotive and aviation industries as well as research institutes and universities. We meet market requirements for the tracking of tools (“ Tool Tracking ”) with various technologies from the product areas DTRACK and VERPOSE. All ART products are highly precise, reliable in use and can be customized.

About LP-Research

LP-Research is a global engineering company specializing in advanced sensor fusion, proprietary algorithms, inertial measurement units (IMUs), and precision tracking solutions for VR, AR, automotive, industrial, and research applications. Its international team delivers high-accuracy hardware, flexible customization, and reliable technical support, enabling partners to build immersive, real-time spatial computing experiences with confidence.

About Hololight

Hololight is the Industrial Standard and the Enterprise Infrastructure Layer for XR. Radically decoupling software from hardware makes Hololight the strategic decision for global scalability. By streaming pixels instead of data, we ensure absolute sovereignty and unmatched performance. To push the boundaries of independence, we developed a proprietary tech stack that scales seamlessly from on-premise workstations to global server rack deployments. Our orchestration platform transforms fragmented XR landscapes into a unified, secure, and scalable IT standard. Any data. Any device. Instantly. Rock-solid stability. No compromise.

Revolutionizing AD/ADAS Testing: VR-Enhanced Vehicle-in-the-Loop

31/10/2025
Blog, Product, Projects

The automotive industry is in a race to develop smarter, safer, and more efficient vehicles. To meet these demands, engineers rely on sophisticated development processes. At LP-RESEARCH, we’re committed to creating tools that shape the future of mobility. That’s why we’re excited to announce a groundbreaking collaboration with IPG Automotive.

By integrating our advanced hardware and software with IPG Automotive’s CarMaker, we’ve created an immersive Virtual Reality (VR) experience for Vehicle-in-the-Loop (ViL) testing. This powerful solution allows engineers to test Autonomous Driving and Advanced Driver-Assistance Systems (AD/ADAS) on a proving ground with unprecedented realism and efficiency.

What is Vehicle-in-the-Loop (ViL)?

Vehicle-in-the-Loop is a powerful testing method that blends real-world driving with virtual simulation. An AD/ADAS-equipped vehicle drives on a physical test track while interacting with a dynamic virtual environment in real time.

This approach lets engineers observe the vehicle’s response to countless simulated scenarios under controlled, repeatable conditions. The vehicle’s real-world dynamics are continuously fed back into the simulation, ensuring the virtual world perfectly mirrors the physical state of the car. The test vehicle is outfitted with a seamless integration of hardware and software to support this constant flow of data.

The Technology Stack: A Powerful Combination

Our collaboration combines best-in-class hardware and software from both LP-RESEARCH and IPG Automotive to deliver a complete ViL solution.

LP-RESEARCH Stack

LPVR-POS: Our hardware system for acquiring physical data from the vehicle via ELM327 or OBDLink, completed by Global Navigation Satellite System (GNSS) antennas, and advanced Inertial Measurement Units (IMUs). LPPOS includes FusionHub, our sensor-fusion software for high-precision, real-time vehicle state estimation.

LPVR-DUO: Specialized sensor-fusion software that calculates the Head-Mounted Display (HMD) pose relative to the moving vehicle.

ART SMARTTRACK3: An advanced Infrared (IR) camera tracking system from our partner, Advance Realtime Tracking (ART), for precise head tracking.

IPG Automotive Stack

CarMaker Office: The simulation environment, enabled with the ViL add-on.

Movie NX: The visualization tool, enhanced with the VR add-on to create an immersive experience.

How It All Works Together

The key to this integration is a custom plugin that connects out FusionHub software with CarMaker. This plugin translates the real vehicle’s precise position and orientation (it’s “pose“) into the virtual environment.

The system workflow is a seamless loop of data capture, processing, and visualization:

Data Acquisition: LPPOS gathers vehicle data (OBD), GNSS, and IMU measurements and sends it to FusionHub. The SMARTRACK system monitors the HMD’s position, while IMUs on the headset and vehicle platform send orientation data to LPVR-DUO.

Sensor Fusion: FusionHub processes its inputs to calculate the vehicle’s exact pose in the real world. LPVR-DUO calculates the HMD’s pose relative to the moving vehicle’s interior.

Real-Time Communication: FusionHub streams the vehicle’s pose to a dedicated TCP server, which feeds the data directly into the CarMaker simulation via our custom plugin. LPVR-DUO communicates the headset’s pose to Movie NX using OpenVR, allowing the driver or engineer to naturally look around the virtual scene from inside the real car.

The entire LP-RESEARCH software stack and CarMaker Office run concurrently on a single computer inside the test vehicle, creating a compact and powerful setup.

See It in Action

We configured a scene in the CarMaker Scenario Editor that meticulously replicates our test track near the LP-RESEARCH Tokyo Office. The video on the top of this post demonstrates the fully integrated system, showcasing how the vehicle’s real-world position perfectly matches its virtual counterpart. Notice how the VR perspective shifts smoothly as the copilot moves their head inside the vehicle.

This setup vividly illustrates how VR technology makes ViL testing more immersive, effective, and even fun.

Advance Your ViL Testing Today

Are you ready to integrate cutting-edge virtual reality into your Vehicle-in-the-Loop testing and help shape the future of mobility?

Fine-tuning the HMD view and virtual vehicle reference frame is crucial for an accurate simulation and depends on the specific test vehicle and scenario. Our team has the expertise to configure these parameters for you or provide expert guidance to ensure a perfect setup.

Contact us today to learn how our tailored solutions and expert support can elevate your AD/ADAS development process.

SLAM system for AR/VR: Next-Gen Full Fusion Tracking

29/05/2025
Blog, Projects

SLAM system for AR/VR: Next-Gen Full Fusion Tracking

At LP-Research, we have been pushing the boundaries of spatial tracking with our latest developments in Visual SLAM (Simultaneous Localization and Mapping) and sensor fusion technologies. Our new SLAM system, combined with what we call “Full Fusion,” is designed to deliver highly stable and accurate 6DoF tracking for robotics, augmented and virtual reality applications.

System Setup

To demonstrate the progress of our development, we ran LPSLAM together with FusionHub on a host computer and forwarded the resulting pose to a Meta Quest 3 mixed reality headset for visualization using LPVR-AIR. We created a custom 3D-printed mount to affix the sensors needed for SLAM and Full Fusion, a ZED Mini stereo camera and an LPMS-CURS3 IMU sensor onto a the headset.

This mount ensures proper alignment of the sensor and camera with respect to the headset’s optical axis, which is critical for accurate fusion results. The system connects via USB and runs on a host PC that communicates wirelessly with the HMD. An image of how IMU and camera are attached to the HMD is shown below.

In the current state of our developments we ran tests in our laboratory. The images below show a photo of the environment next to how this environment translates into an LPSLAM map.

Tracking Across Larger Areas

A walk through the office based on a pre-built map yields good results. The fusion in this experiment is our regular IMU-optical fusion and therefore doesn’t support translation information with integrating accelerometer data. This leads to short interruptions of position tracking in certain areas where feature points aren’t found. We at least partially solve this problem with the full fusion shown in the next paragraph.

What is Full Fusion?

Traditional tracking systems rely either on Visual SLAM or IMU (Inertial Measurement Unit) data, often with one compensating for the other. Our Full Fusion approach goes beyond orientation fusion and integrates both IMU and SLAM data to estimate not just orientation but also position. This combination provides smoother, more stable tracking even in complex, dynamic environments where traditional methods tend to struggle.

By fusing IMU velocity estimates with visual SLAM pose data through a through a specialized filter algorithm, our system handles rapid movements gracefully and removes jitter seen in pure SLAM-only tracking. The IMU handles fast short-term movements while SLAM ensures long-term positional stability. Our latest releases even support alignment using fiducial markers, allowing the virtual scene to anchor precisely to the real world. The video below shows the SLAM in conjunction with the Full Fusion.

Real-World Testing and Iteration

We’ve extensively tested this system in both lab conditions and challenging real-world environments. Our recent experiments demonstrated excellent results. By integrating our LPMS IMU sensor and running our software pipeline (LPSLAM and FusionHub), we achieved room-scale tracking with sub-centimeter accuracy and rotation errors as low as 0.45 degrees.

In order to evaluate the performance of the overall solution we compared the output from FusionHub with pose data recorded by an ART Smarttrack 3 tracking system. The accuracy of an ART tracking system is in the sub-mm range and therefore is sufficienty accurate to characterize the performance of our SLAM. The result of one of several measurement runs is shown in the image below. Note that both systems were alignment and timestamp synchronized to correctly compare poses.

Developer-Friendly and Cross-Platform

The LP-Research SLAM and FusionHub stack is designed for flexibility. Components can run on the PC and stream results to an HMD wirelessly, enabling rapid development and iteration. The system supports OpenXR-compatible headsets and has been tested with Meta Quest 3, Varjo XR-3, and more. Developers can also log and replay sessions for detailed tuning and offline debugging.

Looking Ahead

Our roadmap includes support for optical flow integration to improve SLAM stability further, expanded hardware compatibility, and refined UI tools for better calibration and monitoring. We’re also continuing our efforts to improve automated calibration and simplify the configuration process.

This is just the beginning. If you’re building advanced AR/VR systems and need precise, low-latency tracking that works in the real world, LP-Research’s Full Fusion system is ready to support your journey.

To learn more or get involved in our beta program, reach out to us.

Wireless Mixed Reality with LPVR-AIR 3.3 and Meta Quest

16/02/2025
Blog, Product

Achieving Accurate Mixed Reality Overlays

In a previous blog post we’ve shown the difficulties of precisely aligning virtual and real content using the Varjo XR-3 mixed reality headset. In spite of the Varjo XR-3 being a high quality headset and accurate tracking using LPVR-CAD we had difficulties reaching correct alignment for different angles and distances from an object. We concluded that the relatively wide distance between video passthrough cameras and the displays of the HMD causes distortions that are hard to be corrected by the Varjo HMD’s software.

Consumer virtual reality headsets like the Meta Quest 3 have only recently become equipped with video passthrough cameras and displays that operate at similar image quality as the Varjo headsets. We have therefore started to extend our LPVR-AIR wireless VR software with mixed reality capabilities. This allows us to create similar augmented reality scenarios with the Quest 3 as with the Varjo XR series HMDs.

Full MR Solution with LPVR-AIR and Meta Quest

The Quest 3 is using pancake optics that allow for a much closer distance between passthrough cameras and displays. Therefore the correction of the camera images the HMD has to apply to align virtual and real content accurately is reduced. We show this in the video above. We’re tracking the HMD using our LPVR-AIR sensor fusion and an ART Smarttrack 3 outside-in tracking system. Even though the tracking accuracy we can reach with the tracking camera placed relatively far away from the HMD is limited, we achieve a very good alignment between the virtual cube and real cardboard box, even with varying distances from the object.

This shows that using a consumer grade HMD like the Meta Quest 3 with a cost-efficient outside-in tracking solution a state-of-the-art mixed reality setup can be achieved. The fact that the Quest 3 is wirelessly connected to the rendering server adds to the ease-of-use of this solution.

The overlay accuracy of this solution is superior to all other solutions on the market that we’ve tried. Marker-based outside-in tracking guarantees long-term accuracy and repeatability, which is usually an inssue with inside-out or Lighthouse-based tracking. This functionality is supported from LPVR-AIR version 3.3.

Controller and Optical Marker Tracking

In addition to delivering high-quality mixed reality and precise wireless headset tracking, LPVR-AIR seamlessly integrates controllers tracked by the HMD’s inside-out system with objects tracked via optical targets in the outside-in tracking frame, all within a unified global frame. The video above shows this unique capability in action.

When combined with our LPVR-CAD software, LPVR-AIR enables the tracking of any number of rigid bodies within the outside-in tracking volume. This provides an intuitive solution for tracking objects such as vehicle doors, steering wheels, or other cockpit components. Outside-in optical markers are lightweight, cost-effective, and require no power supply. With camera-based outside-in tracking, all objects within the tracking volume remain continuously tracked, regardless of whether the user is looking at them. They can be positioned with millimeter accuracy and function reliably under any lighting conditions, from bright daylight to dark studio environments.

In-Car Head Tracking with LPVR-AIR

After confirming the capability of LPVR-AIR to work well with large room scale mixed reality setups, we started developing the system’s functionality to do accurate head tracking in a moving vehicle or on a simulator motion platform. For this purpose we ported the algorithm used by our LPVR-DUO solution to LPVR-AIR. With some adjustments we were able to reach a very similar performance to LPVR-DUO, this time with a wireless setup.

Whereas the video pass-through quality of the Quest and Varjo HMDs are comparable in day and night-time scenarios, the lightness and comfort of a wireless solution is a big advantage. Compatibility with all OpenVR or OpenXR compatible applications on the rendering server makes this solution a unique state-of-the art simulation and prototyping tool for autmotive and aerospace product development.

Release notes

See the release notes for LPVR-AIR 3.3 here.

1 2 3 … 15