LAIRA DoD/UFC Compliance Matrix
Layered Autonomous Inference and Reasoning Agent | Airwai, Inc.
Prepared March 2026
Purpose
This document maps LAIRA's inspection capabilities against Unified Facilities Criteria (UFC) and Department of Defense airfield standards. It is intended for DoD Civil Engineering (CE) offices, AFCEC evaluators, and installation pavement engineers who need to assess LAIRA's alignment with UFC requirements — not FAA Advisory Circulars.
For LAIRA's alignment with FAA Part 139, ASTM, ICAO, and TSA standards, see the companion document: LAIRA Regulatory Compliance Matrix (FAA/Civil) .
Governing Standards Referenced
UFC / Standard
Title
Relevance to LAIRA
UFC 3-260-16 (2019)Standard Practice for Airfield Pavement Condition Surveys
Primary reference — PCI methodology, distress definitions, survey procedures
UFC 3-260-04 (2018)Airfield and Heliport Marking
Marking geometry, materials, colors, retro-reflectivity
UFC 3-260-02 (2001)Pavement Design for Airfields
Pavement structure, traffic areas, load requirements (design — not inspection)
UFC 3-535-01 (2017, Chg 4)Visual Air Navigation Facilities
Airfield lighting (outside LAIRA's current scope)
ASTM D5340 Standard Test Method for Airport Pavement Condition Index Surveys
PCI calculation methodology — adopted by UFC 3-260-16
AFI 32-1041 Pavement Evaluation Program
AFCEC evaluation requirements
AFI 13-204v3 Airfield Operations Procedures
Daily airfield checks, FOD management
STANAG 7181 Interoperability Standard for PCI Surveys (NATO)
NATO-aligned PCI procedures
Status Legend
Status
Definition
Validated Capability deployed, tested against standard objects or field conditions, measurement accuracy confirmed
Operational Capability deployed and in use; formal validation testing pending or in progress
In Development Active engineering effort with target delivery timeline
Planned On product roadmap; engineering work not yet started
N/A Not applicable to LAIRA's inspection modality, or addressed by host platform
1. Pavement Condition Assessment — Asphalt (Flexible) Pavements
UFC 3-260-16, Appendix A defines 17 distress types for asphalt-surfaced airfields. Each distress has severity levels (Low / Medium / High) and PAVER distress codes (41–57).
#
PAVER Code
Distress Type
Severity Levels
LAIRA Detection
Measurement Method
Status
1
41
Alligator cracking L / M / H
Detected — pattern recognition via RGB + LiDAR depth mapping
Area (sq ft), crack width, crack depth
Validated
2
42
Bleeding —
Detected — surface reflectivity anomaly via LiDAR intensity + RGB color shift
Area (sq ft)
Operational
3
43
Block cracking L / M / H
Detected — orthogonal crack pattern recognition
Area (sq ft), crack width
Validated
4
44
Corrugation L / M / H
Detected — LiDAR surface profile undulation analysis
Area (sq ft), amplitude
Operational
5
45
Depression L / M / H
Detected — LiDAR DEM elevation differential
Area (sq ft), depth (±3 mm)
Validated
6
46
Jet blast erosion —
Surface texture degradation detection via LiDAR reflectivity change
Area (sq ft)
In Development
7
47
Joint reflection cracking L / M / H
Detected — linear crack at predictable joint locations
Length (ft), crack width
Validated
8
48
Longitudinal & transverse (L&T) cracking L / M / H
Detected — primary crack detection pipeline
Length (ft), crack width (±0.7 mm), depth (±3 mm)
Validated
9
49
Oil spillage —
Detected — discoloration + LiDAR reflectivity anomaly
Area (sq ft)
Operational
10
50
Patching & utility cuts L / M / H
Detected — surface material boundary + elevation differential
Area (sq ft), patch condition
Operational
11
51
Polished aggregate —
LiDAR micro-texture analysis for surface smoothing
Area (sq ft)
In Development
12
52
Raveling L / M / H
Detected — surface aggregate loss via LiDAR point density + RGB texture
Area (sq ft), severity
Operational
13
53
Rutting L / M / H
Detected — LiDAR transverse profile depth measurement
Length (ft), rut depth (±3 mm)
Validated
14
54
Shoving L / M / H
Detected — LiDAR surface displacement analysis
Area (sq ft), displacement height
Operational
15
55
Slippage cracking —
Crescent/arc-shaped crack pattern recognition
Area (sq ft)
In Development
16
56
Swell L / M / H
Detected — LiDAR DEM broad elevation anomaly
Area (sq ft), elevation differential
Operational
17
57
Weathering L / M / H
Detected — surface degradation via RGB texture + LiDAR point scatter
Area (sq ft), severity
Operational
Coverage: 14 of 17 distresses Operational or Validated. 3 In Development.
2. Pavement Condition Assessment — Concrete (Rigid) Pavements
UFC 3-260-16, Appendix B defines 16 distress types for concrete-surfaced airfields. PAVER distress codes 61–76.
#
PAVER Code
Distress Type
Severity Levels
LAIRA Detection
Measurement Method
Status
1
61
Blowup L / M / H
Detected — LiDAR elevation spike at joint + RGB fracture pattern
Number of blowups
Operational
2
62
Corner break L / M / H
Detected — crack intersection with slab corner geometry
Number of corners, fragment area (sq ft)
Operational
3
63
Linear cracking (L/D/T) L / M / H
Detected — primary crack detection pipeline applied to PCC joints
Number of slabs, crack width
Validated
4
64
Durability ("D") cracking L / M / H
Crack pattern parallel to joints/edges — pattern recognition
Number of slabs
In Development
5
65
Joint seal damage L / M / H
Detected — joint sealant condition via RGB + LiDAR gap measurement
Number of joints
Operational
6
66
Small patch (< 5 sq ft) L / M / H
Detected — patch boundary + elevation differential
Number of patches
Operational
7
67
Large patch (> 5 sq ft) L / M / H
Detected — patch boundary + elevation differential
Number of patches, area (sq ft)
Operational
8
68
Popouts —
Small surface voids via RGB texture analysis
Number per slab
In Development
9
69
Pumping —
Staining / debris at joints indicating subbase erosion — RGB discoloration
Number of joints
Operational
10
70
Scaling L / M / H
Detected — surface mortar loss via LiDAR micro-profile + RGB texture
Number of slabs
Operational
11
71
Settlement / faulting L / M / H
Detected — LiDAR elevation differential across joints
Number of slabs/joints, elevation diff (±3 mm)
Validated
12
72
Shattered slab L / M / H
Detected — multiple intersecting cracks fragmenting full slab
Number of slabs
Operational
13
73
Shrinkage cracks —
Fine crack network detection via high-resolution RGB
Number of slabs
In Development
14
74
Joint spall L / M / H
Detected — material loss along joint edge via LiDAR depth + RGB
Number of joints, spall width/depth
Validated
15
75
Corner spall L / M / H
Detected — material loss at slab corners
Number of corners, spall dimensions
Operational
16
76
Alkali-silica reactivity (ASR) L / M / H
Map cracking pattern + gel staining via RGB pattern recognition
Number of slabs
In Development
Coverage: 12 of 16 distresses Operational or Validated. 4 In Development.
3. PCI Computation
UFC 3-260-16 mandates PCI surveys using the methodology defined in ASTM D5340 (airfields) and further specified in UFC Chapters 2–3. This is not advisory — it is a requirement for all DoD airfields.
Requirement
UFC Reference
LAIRA Capability
Status
Pavement sectioning (branch → section → sample unit)
UFC 3-260-16, §2-1
LAIRA geofence system maps pavement sections; RTK GPS assigns detections to sample units
Operational
Sample unit sizing — AC: 5,000 ± 2,000 sq ft
UFC 3-260-16, §2-2.2.1
Configurable sample unit grid overlay based on facility GIS data
Operational
Sample unit sizing — PCC: 20 ± 8 slabs
UFC 3-260-16, §2-2.2.2
Slab detection + counting via LiDAR joint mapping
In Development
Network-level sampling (representative sample selection)
UFC 3-260-16, §2-3
Full-coverage scanning on every pass — exceeds sampling requirements
Validated
Project-level sampling (95% confidence, ±5 PCI points)
UFC 3-260-16, §2-4
Full-coverage scanning eliminates sampling error entirely
Validated
Distress recording — type, severity, quantity per sample unit
UFC 3-260-16, §2-6
Per-detection: distress type, severity (L/M/H), area/length/count, GPS coordinates, timestamp, image
Validated
Deduct value calculation (ASTM curves)
UFC 3-260-16, §3-2, §3-3
PCI deduct curve engine applying UFC/ASTM standard curves
In Development
Corrected Deduct Value (CDV) computation
UFC 3-260-16, §3-2.3
Iterative CDV algorithm per ASTM methodology
In Development
Section PCI (area-weighted average)
UFC 3-260-16, §3-4
Area-weighted PCI aggregation across sample units
In Development
Additional sample unit handling (unusual conditions)
UFC 3-260-16, §2-5
Anomaly flagging for CE review — auto-identified outlier sample units
Planned
PCI Engine Status: Distress detection and recording validated. Deduct curve computation and PCI aggregation in active development. Target: operational for DoD delivery.
4. FOD Detection & Management
Requirement
Reference
LAIRA Capability
Status
FOD detection on movement areas
AFI 13-204v3
RGB + LiDAR detection with height filter; 10 Hz frame rate with deduplication
Validated
Minimum detectable object — 3.0 cm metallic cylinder
AC 150/5220-24 (adopted by DoD)
Controlled validation with AC standard test objects (all 10 items) in progress
In Development
Location accuracy — within 16 ft (5.0 m)
AC 150/5220-24
±2 cm RTK GPS — 250x better than specification
Validated
Operating speed — ≥ 20 mph
AC 150/5220-24
Up to 55 mph
Validated
Material classification
AC 150/5220-24 (recommended)
Metal, Stone, Plastic, Rock, Rubber — via LiDAR reflectivity ratio
Validated
Quantitative FOD counts per area
AFI 13-204v3 (formalized documentation)
Per-zone FOD density, counts by material type, spatial distribution
Validated
Spatial heatmaps — recurring FOD-generation zones
DoD engineering evidence requirement
Geohash-based heatmaps with temporal trend overlay
Validated
FOD-before vs FOD-after repair validation
CE maintenance verification
Change detection between passes — quantitative repair effectiveness
Operational
Data record — time, date, location, image, dimensions, material
AC 150/5220-24 / AFI 13-204v3
Timestamp, WGS84 GPS, material, dimensions, severity score, image, digital twin annotation
Validated
False alarm rate — ≤ 1/day (visual) or ≤ 3/day (non-visual)
AC 150/5220-24
Severity-aware filtering with configurable threshold; 90-day validation pending
In Development
Weather performance — detection in rain/snow
AC 150/5220-24
LiDAR operates in rain; weather performance specification in development
In Development
5. Airfield Marking Compliance
UFC 3-260-04 governs all DoD airfield markings. LAIRA detects and assesses marking condition across the following categories.
5.1 Marking Detection & Classification
Marking Category
UFC 3-260-04 Reference
LAIRA Detection
Status
Runway centerline
§5-2.8
Segmented via ML — stripe/gap pattern
Validated
Threshold markings
§5-2.9
Segmented — stripe count and width
Validated
Runway designators
§5-2.10
Character recognition
Validated
Touchdown zone / fixed distance
§5-2.15
Segmented — pattern geometry
Validated
Runway side stripes
§5-2.13
Segmented — edge detection
Validated
Taxiway centerline
§6-2
Segmented — continuous/dashed pattern
Validated
Taxiway/apron edge stripes
§6-3
Segmented — double yellow
Validated
Hold position markings (VFR/ILS)
§6-5.1, §6-5.3
Segmented — ladder pattern recognition
Validated
Surface painted signs
§6-5.5 through §6-5.8
Character + directional arrow recognition
Operational
Closed pavement markings (X)
§8-1 through §8-5
Segmented — large X pattern
Operational
Overrun markings (yellow chevrons)
§5-2.12, §7-11.4
Chevron pattern recognition
In Development
Shoulder markings (deceptive surfaces)
§8-9, §8-10, §8-11
Yellow boundary line detection
In Development
Restricted area boundary markings
§6-5.10
Red boundary line + ECP marking detection
Planned
Helicopter/rotary wing markings
§7-6 through §7-10
Helipad H symbol, landing lane markers
Planned
Aircraft-specific hazard markings (T-6, F-16, C-12)
§8-16 through §8-20
Specialized pavement warning markings
Planned
Coverage: 10 of 15 categories Operational or Validated. 2 In Development, 3 Planned.
5.2 Marking Condition Assessment
Measurement
UFC 3-260-04 Reference
LAIRA Capability
Status
Color compliance — white (runway), yellow (taxiway/hold)
§3-2
RGB color classification per detection
Validated
Contrast / conspicuity
§3-1.5
Michelson contrast via RGB + LiDAR intensity fusion; ≥ 0.50 threshold
Validated
Retro-reflectivity screening
§3-3 (per ASTM E1710)
Estimated via calibrated LiDAR reflectivity — screening tool, not replacement for retroreflectometer
Operational
Coverage / condition
General maintenance requirement
Coverage percentage (0–100%) + degradation score — objective, repeatable
Validated
Paint thickness indication
§3-1.2.1 (max 40 mil buildup)
Indirect — LiDAR elevation at marking boundaries can indicate excessive buildup
Planned
Rubber contamination overlay
§4-2.2
RGB detection of dark rubber deposits over white markings — coverage mapping
Operational
5.3 Marking Geometry Validation
Dimension
UFC 3-260-04 Standard
LAIRA Measurement
Status
Runway CL stripe width
12 in (visual), 18 in (non-precision), 36 in (precision)
Measured via segmentation mask × LiDAR depth
In Development
Runway CL stripe length / gap
120 ft stripe, 80 ft gap
GPS-measured stripe/gap intervals
In Development
Taxiway CL stripe width
6 in (standard), 12 in (enhanced taxiway CL)
Measured via segmentation mask
In Development
Hold position line width
6 in per line (standard)
Segmentation mask measurement
In Development
Threshold stripe dimensions
Per §5-2.9 tables
Pattern geometry validation
Planned
Dimensional tolerance — new markings max +10%
§3-1.1
Deviation calculation from nominal dimensions
Planned
Dimensional tolerance — remarkings max +20%
§3-1.1
Deviation calculation from nominal dimensions
Planned
6. Ground Vehicle Operations & System Integration
Requirement
Reference
LAIRA Capability
Status
Vehicle authorization on movement areas
AFI 13-204v3
LAIRA operates on existing authorized CE/ops vehicles
Validated
Vehicle marking & lighting compliance
UFC 3-260-04, AFI 13-204v3
Host vehicle configuration — verified per deployment
Validated
Two-way radio (ATCT contact)
AFI 13-204v3
Host vehicle radio — LAIRA Rig does not include radio
N/A
In-cab display — no driver distraction
AFI 13-204v3
Audio-only alerts during vehicle movement; visual detail review when stopped
Operational
Operator training — LAIRA-specific
AFI 13-204v3 (initial + annual recurrent)
LAIRA Instruction Manual + deployment-specific training protocol
Operational
ADS-B Out (VMAT) equipage
AC 150/5220-26 (adopted by DoD for funded deployments)
VMAT unit procurement and FAA/FCC licensing on roadmap
Planned
7. Sensor System Specifications
Parameter
Specification
UFC/Standard Relevance
LiDAR 128-channel, calibrated
UFC 3-260-16 PCI surveys require measurement of distress dimensions — LiDAR provides depth, width, area
RGB Camera 4K resolution, 1.67 mm/pixel at 3 m depth
Distress identification, marking classification, FOD material ID
RTK GPS/GNSS ±2 cm positional accuracy (WGS84)
Exceeds all DoD geolocation requirements; enables per-sample-unit distress assignment
IMU 6-axis inertial measurement
Vehicle motion compensation for stable sensor output
Edge Compute NVIDIA-accelerated, < 200 ms inference latency
Real-time distress classification during movement
Connectivity 5G/LTE dual SIM + WiFi
Data upload to Airwai Intelligence Dashboard; cellular uplink for real-time monitoring
Operating Speed Up to 55 mph (90 km/h)
Exceeds all required inspection speeds
Data Capture Width 55 meters
Full runway/taxiway coverage in minimal passes
Weight ~35 lbs (15.9 kg)
Man-packable; mounts on standard ops vehicles
Battery 7 hrs operating / 14 hrs passthrough
Full-shift operations without recharging
Calibration LiDAR + RGB alignment calibration protocol
UFC 3-260-16 references calibration standards; Airwai calibration protocol in development
8. Data Output & PAVER Integration
UFC 3-260-16 mandates that pavement condition data feed into the PAVER pavement management system (or equivalent). AFCEC uses PAVER data for programming M&R projects across all Air Force installations.
Output Capability
Description
Status
Per-detection structured record
Distress type (PAVER code), severity (L/M/H), quantity (area/length/count), GPS coordinates, timestamp, image
Validated
Per-sample-unit summary
All distresses within sample unit, deduct values, sample unit PCI
In Development
Per-section PCI report
Area-weighted PCI, distress distribution, condition rating
In Development
PAVER-compatible export format
CSV/XML matching PAVER import schema for direct data ingestion
In Development
AFCEC Pavement Evaluation Report format
Structured data package for triannual AFCEC evaluation support
Planned
Trend analysis (pass-over-pass)
Deterioration rate per section, predicted PCI decline, maintenance trigger alerts
Operational
FOD spatial report
Per-zone FOD density, material breakdown, temporal trends, heatmaps
Validated
Marking condition report
Per-marking coverage %, contrast score, color compliance, degradation flags
Validated
Digital twin annotation
Georeferenced detection overlay on facility map/satellite imagery
Validated
Exportable inspection record
Date, time, operator, vehicle, route, weather conditions, full detection log
Validated
9. Inspection Cadence Alignment
UFC and AFI prescribe a layered inspection cadence. LAIRA augments every layer.
Inspection Type
Frequency
Traditional Method
LAIRA Contribution
Daily airfield check (AM ops)Daily
Visual walkthrough or drive-through by airfield manager
LAIRA automates the daily check — objective, repeatable, auditable
Periodic condition review Monthly / Quarterly
CE visual assessment + work order generation
LAIRA provides continuous condition data with change detection between reviews
Annual structural inspection Annual
CE walkthrough + PAVER data update
LAIRA's accumulated annual data provides comprehensive distress inventory for CE
PCI survey (project-level)Triannual (typical)
Manual surveyor walks sample units, records distresses on paper/tablet
LAIRA full-coverage scanning replaces sampling — every sample unit inspected on every pass
AFCEC Pavement Evaluation Every 5 years
AFCEC team on-site evaluation
LAIRA's historical data supports AFCEC evaluation with 5 years of objective trend data
10. Compliance Summary
By Domain
Domain
Total Requirements
Validated
Operational
In Development
Planned
Asphalt distresses (UFC 3-260-16)
17
6
8
3
0
Concrete distresses (UFC 3-260-16)
16
4
8
4
0
PCI computation
10
3
2
4
1
FOD detection
11
7
1
3
0
Marking detection
15
8
2
2
3
Marking condition
6
3
2
0
1
Marking geometry
7
0
0
4
3
Vehicle ops / integration
6
2
2
0
1 + 1 N/A
Data output / PAVER
10
5
1
3
1
Overall Readiness
Status
Count
%
Validated 38
39%
Operational 26
27%
In Development 23
23%
Planned 10
10%
N/A 1
1%
Total 98
100%
66% of UFC-mapped requirements are Operational or Validated. 23% are in active development.
11. Terminology Crosswalk
DoD Term
Civilian Equivalent
Notes
UFC (Unified Facilities Criteria)
FAA Advisory Circular (AC)
UFC is mandatory for DoD; ACs are advisory unless tied to AIP funding
AFI (Air Force Instruction)
14 CFR (Code of Federal Regulations)
AFIs are binding on Air Force installations
CE (Civil Engineering)
Airport Operations
Base office responsible for airfield infrastructure
AFCEC
FAA Regional Office
Central engineering authority for Air Force pavements
PAVER
Airport PMS
DoD's standard pavement management software
PCN (Pavement Classification Number)
Pavement strength rating
ICAO standard — used more rigorously by DoD
M&R (Maintenance & Repair)
Maintenance program
DoD budgeting terminology for pavement work
ETL (Engineering Technical Letter)
FAA Engineering Brief
Short-form technical guidance
12. What LAIRA Does Not Replace
LAIRA is a surface inspection and condition monitoring system . It complements but does not replace:
Activity
Why Not Replaced
Falling Weight Deflectometer (FWD) testing
Subsurface structural evaluation — requires physical loading
Core sampling / laboratory analysis
Material characterization requires physical specimens
Continuous Friction Measurement Equipment (CFME)
Surface friction measurement requires specialized equipment and tire contact
Airfield lighting inspection
Requires electrical testing and light intensity measurement (UFC 3-535-01)
Manual retroreflectometer readings
LAIRA provides screening estimates; formal ASTM E1710 readings require handheld instrument
GRF Runway Condition Reporting
Surface contamination assessment (ice, snow, water) — separate domain from structural pavement health
LAIRA: Objective. Auditable. Standards-aligned.
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