{Project title}: {the outcome in one line}

{Two-sentence summary: who the client is, what was at stake when GPS failed, and what changed after the work.}

Client: {Client}
Sector: {Sector}
Duration: {x weeks}
Service: {Resilience audit}

Map-style diagram of a route through a city, under a river in a tunnel and out again, with satellite fixes before and after, growing uncertainty ellipses while inside the tunnel, and a small chart of position error rising then resetting when the fix returns. — Fig. 1 — {Caption describing what the figure shows.}

01 — The challenge

The challenge

{What the client was trying to do, and why losing GNSS mattered: safety, cost, regulation or customer trust. Keep it concrete: where, when and what failed.}

{What they had tried already, and what constraints the solution had to respect: sensors, budget, timescale, certification.}

02 — Approach

Approach

{One paragraph on how you tackled it.}

Step 1: {Step one}
{e.g. Threat review: where jamming, spoofing or outages are likely.}
Step 2: {Step two}
{e.g. Simulation of the navigation system under those conditions.}
Step 3: {Step three}
{e.g. Recommendations, filter changes or test plan.}

03 — Results

Results

{Summarise the outcome. Only use figures the client has approved, with the conditions they were measured under.}

{what it measures, and under what conditions}: {Metric}
{what it measures}: {Metric}
{what it measures}: {Metric}

Line chart of horizontal error over a GNSS outage in which unaided inertial error climbs steeply, while aided inertial navigation rises only slightly and GNSS-only error stays low outside the outage. — FIG. — Horizontal error through a four-minute GNSS outage: GNSS only, unaided INS, and INS aided by odometry and terrain. Illustrative data.

“{Client quote, used with their written permission.}”

— {Name}, {Role}, {Company}

04 — Deliverables

What we delivered

{Report: e.g. GNSS resilience assessment with prioritised recommendations}
{Code: e.g. filter implementation and test harness}
{Data: e.g. simulation scenarios and results}

{Particle filter}
{IMU}
{Magnetometer}
{Python}

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