Use cases

Xikaku sensors and FusionHub software are deployed across automotive, aerospace, extended reality, and robotics. Every link below points to the full write-up on the LP-Research blog.

Automotive & autonomous driving

AD / ADAS Vehicle-in-the-Loop

A physical vehicle drives a real test track while interacting with a dynamic virtual environment in real time. Built in collaboration with IPG Automotive, FusionHub synchronises live vehicle dynamics with CarMaker scenarios so AD/ADAS systems can be validated safely and repeatably. Read more →

Immersive automotive design & vehicle testing

Hyundai reviews full-scale vehicle concepts collaboratively in VR with up to 20 simultaneous users across 400 m². CUPRA engineers drive instrumented vehicles on a real race track while wearing Varjo headsets that overlay live telemetry and simulated content. Read more →

In-car mixed reality

LPVR-DUO stabilises mixed-reality overlays inside a moving vehicle — the system fuses inside-out HMD tracking with vehicle motion so the virtual world stays correctly aligned on the road, enabling on-the-go simulator and HMI testing. Read more →

Aviation

VR pilot training in a variable-stability helicopter

Canada’s National Research Council uses LPVR-DUO to train helicopter pilots for Ship Helicopter Operating Limitations (SHOL) in actual flight. The system keeps head tracking and VR overlays stable despite the extreme accelerations, vibrations, and magnetic disturbances of a live aircraft. Read more →

Extended reality

Sub-centimeter SLAM on Meta Quest 3

Our Full Fusion pipeline combines visual SLAM (ZED Mini stereo camera) with an LPMS-CURS3 IMU to deliver room-scale 6-DoF tracking on a Meta Quest 3. Validated against ART Smarttrack 3 as ground truth, achieving sub-centimeter position accuracy and 0.45° rotation error. Read more →

Accurate mixed reality for design review

LPVR-CAD drives a Varjo XR-3 headset for engineering design review, anchoring virtual prototypes to physical workspaces with 1–2 cm stability — good enough for cockpit, steering-wheel, and full-vehicle walk-arounds at 1:1 scale. Read more →

Human motion capture

Wearable IMU motion capture with LPMOCAP

LPMOCAP captures full upper-body motion using only a small set of wearable IMUs — head, chest, and both arms — with no studio, markers, or external cameras. At 50 Hz updates with sub-0.01° resolution, it runs in ergonomics analysis, injury rehabilitation, and strain prevention where optical mocap is impractical. A clear demonstration of how far inertial-only motion reconstruction can be pushed with the right sensor-fusion stack. Read more →

Robotics

IMU data in ROS and ROS 2

LP-Research IMUs stream directly into ROS and ROS 2 nodes through a first-party driver. Mobile robots, AGVs, and experimental platforms rely on the out-of-the-box integration for low-latency orientation, angular velocity, and linear-acceleration feeds. Read more →