DRONE-GRADE AI MOWER: single integrated ASCII-style infographic

Great! Here’s a single integrated ASCII-style infographic that connects the stack, disruption map, and roadmap visually — like a flowchart poster for a drone-grade AI mower startup.

┌─────────────────────────────────────────────┐
│         🚀 DRONE-GRADE AI MOWER STARTUP 🚀 │
└─────────────────────────────────────────────┘

[SENSORS]
┌─────────────────────────────┐
│ IMU (Tilt/Gyro)            │
│ RTK GPS                     │
│ Stereo / Depth Camera       │
│ Optional LiDAR              │
└───────────────┬─────────────┘
                │
                ▼
[ONBOARD COMPUTE]
┌─────────────────────────────┐
│ SLAM / 3D Mapping           │
│ Visual-Inertial Odometry    │
│ Sensor Fusion Engine        │
│ Path Planning & Obstacle AI │
└───────────────┬─────────────┘
                │
                ▼
[ACTUATION]
┌─────────────────────────────┐
│ Wheel Drives                │
│ Blade Motors                │
└───────────────┬─────────────┘
                │
                ▼
[SAFETY SYSTEMS]
┌─────────────────────────────┐
│ Tilt / Lift Cutoff          │
│ Collision Detection         │
└───────────────┬─────────────┘
                │
                ▼
[CHASSIS & POWER]
┌─────────────────────────────┐
│ Mowing Deck                 │
│ Wheels & Suspension         │
│ Battery + BMS               │
└───────────────┬─────────────┘
                │
                ▼
[USER INTERFACE]
┌─────────────────────────────┐
│ Mobile App (iOS/Android)   │
│ Scheduling, Zones, Alerts  │
└───────────────┬─────────────┘
                │
                ▼
[CLOUD BACKEND]
┌─────────────────────────────┐
│ Map Storage & Analytics     │
│ OTA Software Updates        │
│ Fleet AI Learning           │
└─────────────────────────────┘

──────────────────────────────────────────────
       🔹 DISRUPTION MAP HIGHLIGHTS
──────────────────────────────────────────────
Gravity alignment / slope  → VIO + Stereo Depth + IMU Fusion
Vertical drift / IMU drift → SLAM + Camera Features + Wheel Odometry
GPS unreliability           → RTK GPS + Sensor Fusion + Visual Landmarks
Obstacle detection           → Stereo / LiDAR + AI Classification
Terrain mapping / coverage   → 3D Map via SLAM + Depth Sensing
Auto-calibration             → IMU Auto-Calibration with Visual Cues
Updates / adaptability       → Cloud Backend + OTA + AI Path Optimization

──────────────────────────────────────────────
       🔹 18–24 MONTH ROADMAP
──────────────────────────────────────────────
Planning & Feasibility          │ 1–2 mo   │ Tech stack, sensors, chassis selection
Prototype Electronics & Compute │ 2–3 mo   │ Sensor integration, motor tests, safety interlocks
Core Perception Software        │ 4–5 mo   │ SLAM, VIO, sensor fusion, slope & drift correction
Obstacle Detection & Path Plan  │ 3–4 mo   │ AI obstacle detection, optimized mowing paths
Safety & Auto-Calibration       │ 2 mo     │ Tilt/lift cutoffs, IMU auto-calibration, fail-safes
Cloud & OTA Integration         │ 2 mo     │ Backend for maps, telemetry, AI updates
Field Testing & Iteration       │ 2–3 mo   │ Full terrain testing, SLAM tuning, obstacle refinement
Pilot Production & Go-to-Market │ 2–3 mo   │ Refined chassis, app finalization, small-scale launch

──────────────────────────────────────────────
       ✅ KEY TAKEAWAYS
──────────────────────────────────────────────
- Software-first approach = main competitive edge
- Hardware can be off-the-shelf; focus on reliability
- Mature drone/robotics tech solves perception/navigation gaps
- Market window is open; incumbents lag in autonomy
- Fully autonomous, slope-aware, drift-free, obstacle-smart mower achievable in 18–24 months

This version visually connects all the elements:

• Stack flows from sensors → compute → actuation → safety → chassis → user → cloud
• Disruption map shows specific tech solutions aligned to major challenges
• Roadmap below shows the phases and timeline

It’s ready to be turned into a poster or infographic with colors, icons, and arrows.

If you want, I can also make a “color-coded visual draft layout” version, showing how each section could be colored and placed for a modern infographic poster style. This would make it almost presentation-ready.