Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P26 · Implementation blueprint · Mappls Navigation Lab
ADAS, HD Maps & Road Safety Intelligence
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
01 · Target operating outcome
Define the change before choosing the technology
What safety decisions could improve if the vehicle knew the road beyond sensor range?
Fewer safety events and false alerts; faster ADAS development; improved risk prioritisation and safer routing.
Target
Attribute accuracy and freshness accepted; alert precision/recall threshold met; integration latency and coverage proven.
02 · Solution architecture
One connected flow from source data to operational action
HD/lane and road-attribute maps, speed limits, curvature, hazards, accident blackspots, predictive horizon, safety alerts and validation services. Mappls connects proprietary map and location intelligence with hd/lane and road-attribute maps, speed limits, curvature, hazards, accident blackspots, predictive horizon, safety alerts and validation services. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Route lab · Guidance simulator · Traffic scenarios · Road-event replay
Decision and outcome
Fewer safety events and false alerts; faster ADAS development; improved risk prioritisation and safer routing.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head ADAS
Sponsor / owner
Vehicle Safety
Manager / analyst
Road Safety
Manager / analyst
CTO
Manager / analyst
VP Engineering
Operator / specialist
Transport/Road Safety Secretary
Operator / specialist
ADAS Algorithm
Operator / specialist
Map Validation
Operator / specialist
Functional Safety
Operator / specialist
Product manager
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
ADAS/HD & Safety Data
Lane, road attribute, risk and predictive horizon data
Product detailsTraffic, ETA & Road Events
Live/historical traffic, ETA and safety/road events
Product detailsAsset & Personal Trackers
Battery/portable/asset location and alert devices
Product detailsRealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Representative corridor pilot comparing map horizon and safety attributes with vehicle/sensor observations.
- Confirm data, geography, users and workflow: Which ADAS functions and ODD are targeted? What accuracy/freshness thresholds apply? How are false positives measured?
- Configure Mappls Navigation Lab for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Attribute accuracy and freshness accepted; alert precision/recall threshold met; integration latency and coverage proven.
- Package production scope and commercial model: Data licence/royalty + validation services + update subscription.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement