Lokirail · Railway positioning

Positioning built around the track.

Lokirail fuses GNSS, inertial data, odometry and digital track maps to deliver a continuous, measurable position in real time — even when satellite signals degrade.

  • Rail-native
  • Multi-sensor fusion
  • Real-time
Lokirail chain Live stream
GNSS absolute position IMU dynamics ODO distance MAP track geometry EVENT external referenceOptional Balise · LiDAR/Camera · event
LR fusion engine
Railway positionOn track
Spatial position3D PVT
QualityDiagnostics

01 · The challenge

Generic navigation is not enough on rail.

A train does not move freely through space. It follows a geometry, passes through tunnels and turnouts, and may run only metres away from a parallel track. Lokirail places this structure at the heart of the calculation.

A

Continuity without GNSS

Maintain consistent navigation through tunnels and areas with degraded satellite signals.

B

Knowing which track

Identify the branch actually taken through a turnout, with or without GNSS.

C

Operate in real time

Handle timestamps, latency, asynchronous streams, missing measurements and degraded modes.

02 · The Lokirail approach

The railway is not just a constraint. It is information.

Track geometry helps constrain the trajectory, correct motion estimates and deliver an along-track position that railway systems can use directly.

Full fusion

GNSS, inertial data, odometry and the digital map contribute to a continuous, diagnosed solution.

Rail topology 47.2146° N · 0.5182° E
StatusTRACKED
Track02
Confidence99.2%
  1. 01
    SenseGNSS · IMU · ODO
  2. 02
    FusePropagation & corrections
  3. 03
    ConstrainTrack geometry
  4. 04
    DiagnoseQuality & resilience

03 · Measured evidence

Measured results on a public dataset.

On a 78 km route from a public dataset produced by the CLUG project, including a 5.4 km tunnel, Lokirail maintains positioning with or without GNSS.

Without GNSS

2.07 m

Longitudinal RMSE using IMU, odometry and digital mapping.

Standard GNSS

0.94 m

Longitudinal RMSE on the same route, a 54% improvement.

These results were obtained in post-processing on a public dataset produced by the CLUG project, where some input data is of limited quality. On other real-world proprietary railway datasets that cannot be published, Lokirail has demonstrated substantially better performance.

04 · Applications

A positioning building block to decide, integrate and operate.

Lokirail initially targets non-safety applications that need a continuous position, an identified track and clear quality indicators.

01

Operations & passenger information

Position, speed and progress along the line to enrich operational systems.

02

Alternative to physical beacons

Evaluate onboard positioning when trackside readers become obsolete or costly to maintain.

03

Benchmarking & demonstrators

Compare architectures through a reproducible replay chain before making industrialisation decisions.

04

Data analysis & performance

Replay railway journeys to measure positioning accuracy, continuity and robustness.

05

Track & catenary defect location

Associate each detected defect with an accurate on-track position to support inspection and maintenance.

06

Pantograph control

Trigger or verify pantograph actions according to the train’s position on the track.

05 · Lokigo Systems

Rail deeptech. Pragmatic execution.

Lokigo Systems is a French company specialising in positioning, navigation and timing technologies for complex systems. Founded by Anouar El Mahyaoui, it builds on six years of systems engineering experience, particularly in positioning guided vehicles — trains and trams.

Technology ownershipA positioning chain developed and mastered in-house, built on proven methods.
MeasurementDecisions driven by results, not promises.
IterationReplay, controlled real-time operation, then onboard integration.
Rail-firstInfrastructure knowledge at the heart of navigation.

A route to locate?

Start with your data. Measure what is possible.

Describe your line, sensors and expected outcome. Lokigo will propose a short, progressive and measurable evaluation framework.