🧠 About LaneSage
LaneSage is a compact vision-based system for tiny robots (like Pi Cars or ESP32-CAM bots) that brings ADAS-like intelligence to a hobby scale. It detects lane markings, avoids obstacles, and reacts to dynamic environments — all with a basic camera and edge AI.
It’s your entry point into camera-based robotics perception — the same foundation used in real-world self-driving systems.
💡 Key Features
- 🎥 Hardware: Raspberry Pi Camera / ESP32-CAM
- 🧠 AI Logic: Line-following, object detection, stop-sign recognition (YOLOv8 Lite or MobileNet SSD)
- 🤖 Embedded Setup: Deployed on Pi or microcontroller
- 🛣️ Use Case: Lane following, object avoidance, and custom signal interpretation
- 📉 Output: Steering + speed control based on vision input
🔍 Why This Matters
Bringing ADAS concepts to robotics builds intuition for how autonomy works under the hood. From Tesla to Waymo, every car starts with these fundamental building blocks: vision, detection, and reaction.
This project puts those tools in your hands — in a form you can build, tweak, and test.
📦 Want to Build LaneSage?
You'll get:
- ✔️ Dataset and model for basic lane/object detection
- ✔️ ESP32-CAM or Raspberry Pi deployment guide
- ✔️ PID tuning for steering + braking
- ✔️ Bonus: Add voice commands to override auto-drive mode
👉 [Sign up here] (Tally/ConvertKit form or embedded link)
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