The Engineering Behind the Platform
The disciplines EL-iVISION is built from. We describe methods and design choices here — not benchmark numbers, which belong to a validated engagement rather than a website.
Because accuracy depends entirely on your unique sensor configuration and environment, we don't use generic benchmarks. We work directly with you to establish exact performance metrics through a tailored technical Proof of Concept (PoC)
The six stages a single observation passes through, from perception to recovery.
GROUP 01
Sensing Foundations
- 01Multi-sensor calibration
- Intrinsic and extrinsic estimation across LiDAR, camera, thermal and inertial sensors, with validation against known targets and scene structure.
- 02Time synchronization
- Hardware and software synchronization strategies that keep asynchronous streams on one timeline, including latency compensation.
- 03LiDAR / vision / inertial fusion
- Tightly and loosely coupled fusion architectures, selected according to platform dynamics and sensor quality.
GROUP 02
Localization & SLAM
- 01Visual and LiDAR SLAM
- Feature-based and direct formulations, with scan registration and keyframe selection tuned to the operating environment.
- 02Pose graph and factor graph
- Representing constraints — odometry, inertial, GNSS, loop closure — in a single optimizable structure.
- 03Loop closure
- Place recognition and geometric verification to correct accumulated drift over long trajectories.
- 04Localization
- Pose estimation against a prior map, with graceful degradation when GNSS is denied or a modality drops out.
GROUP 03
Mapping & Reconstruction
- 013D reconstruction
- Dense and sparse reconstruction from registered point clouds and imagery, with surface and volumetric representations.
- 02Mapping and change detection
- Georeferenced map construction and comparison between passes to detect what has changed since the last survey.
GROUP 04
Perception & Understanding
- 01RGB-thermal fusion
- Cross-modal registration and fused inference so detection holds in darkness, glare and degraded visibility.
- 023D perception
- Detection, segmentation and extent estimation in metric space, anchored to the platform pose.
- 03Semantic spatial understanding
- Assigning meaning to reconstructed geometry — lanes, markings, assets, surfaces — as queryable spatial data.
A voxel reconstruction of the aisle with the estimated trajectory laid over it.
Racking and pallets reconstructed as geometry a planner can query, not as pixels.
Review the Engineering in Detail
We are glad to go deep on methods, trade-offs and integration with your team.