01
Sensor Calibration
Intrinsic and extrinsic calibration across LiDAR, camera, thermal and inertial sensors — the precondition for every downstream result.
EL-iVISION · SPATIAL INTELLIGENCE PLATFORM
Spatial Intelligencefor the Physical World
EL-iVISION turns multi-sensor spatial data into localization, perception, mapping, tracking and operational intelligence — so vehicles, robots and infrastructure systems can work reliably in real environments.
WAREHOUSE · AFL / AMR
Automated forklift and mobile robots under continuous spatial tracking.
Conceptual visualization
- POSE GRAPH
- Closed
- 3D PERCEPTION
- Detected
- SENSOR FUSION
- Synchronized
WHAT WE DO
What We Do
ELiezer Technology is a spatial-intelligence engineering company. We build the software layer that lets a machine establish where it is, what the world around it looks like, and what is happening in it.
01
Localize
Know precisely where a machine or sensing platform is — continuously, and without depending on any single sensor or on GNSS availability.
02
Map
Build persistent, spatially consistent representations of the physical world, and keep them aligned as the environment changes.
03
Understand
Detect, classify, track and spatially anchor the objects and events that matter, so downstream systems receive geometry rather than pixels.
WHERE IT APPLIES
Spatial Intelligence Across Physical Industries
The same spatial core serves very different operating environments. Each domain differs in sensors, constraints and required outputs — not in fundamentals.
From high-speed road intelligence to custom-engineered factory floors, we build bespoke automation frameworks — tailoring AFLs, AGVs, and AMRs to your exact operational requirements.
Conceptual visualizationHOW IT WORKS
Sense, Understand, Operate
One continuous path from raw observation to a machine-readable result. Every stage is inspectable, so an engineering team can validate the output rather than trust it.
- 01
Sense
Raw observation from the sensors already on the platform.
- 3D LiDAR
- RGB camera
- Thermal camera
- IMU
- RTK-GNSS
- Platform odometry
- 02
Understand
The spatial core that turns observations into geometry.
- Synchronization
- Calibration
- Odometry
- SLAM
- Sensor fusion
- 3D perception
- Tracking
- 03
Operate
Results your systems can act on directly.
- Localization
- Spatial map
- Object state
- Risk information
- Operational analytics
- Machine-readable outputs
PLATFORM
EL-iVISION
From multi-sensor observations to actionable spatial intelligence
EL-iVISION is our spatial-intelligence platform. It is organised as four stages: what comes in, the spatial core that establishes geometry, the intelligence layer that gives that geometry meaning, and the outputs your systems consume. The internal implementation is our IP; the interfaces are designed to be integrated.
- 01
Input Sensors
- 3D LiDAR
- RGB Camera
- Thermal Camera
- IMU
- RTK-GNSS
- 02
Spatial Core
- Time Synchronization
- Calibration
- Odometry
- SLAM / Localization
- Sensor Fusion
- 03
Intelligence Layer
- 3D Perception
- Object Tracking
- Semantic Understanding
- 04
Outputs
- Pose
- Trajectory
- 3D map
- Object states
- Infrastructure information
- Operational analytics
ENGINEERING
Core Engineering Capabilities
Each capability is an engineering discipline in its own right. Together they are what makes a spatial result reliable rather than merely plausible.
02
SLAM & Pose Optimization
Pose-graph and factor-graph formulations with loop-closure detection and global optimization for drift-free trajectories.
03
Localization
Continuous six-degree-of-freedom pose estimation that degrades gracefully when GNSS is denied or a sensor drops out.
04
3D / HD Mapping
Georeferenced point-cloud and vector map construction, with change detection to keep a map aligned to the environment it describes.
05
RGB-Thermal-LiDAR Fusion
Cross-modal registration and fusion so perception holds up in darkness, glare, fog and other conditions that defeat a single modality.
06
Spatial Perception & Infrastructure Intelligence
Detection, tracking and semantic understanding anchored to real-world coordinates rather than to the image plane.
VALIDATION
Validate It in the Real Environment
We start with a scoped, paid technical PoC. It produces measured evidence against your requirement in your environment — not a demonstration on our data.
- 01
Define requirement
Agree the operating environment, the sensors available and the measurable success criteria.
- 02
Collect representative data
Use your existing recordings, or capture a representative dataset together.
- 03
Integrate and configure
Adapt calibration, fusion and the spatial core to your platform and constraints.
- 04
Evaluate quantitatively
Measure against the criteria defined in step one, with the method stated openly.
- 05
Deliver findings
A technical report with results, limitations and a concrete next-step engineering plan.
Scope and duration are set per engagement.
Discuss a Technical PoCNEXT STEP
Build Spatial Intelligence for Your Physical System
Tell us about the platform, the environment and the result you need. A senior engineer will respond — not a sales representative.