Reading Guide
This repository is an end-to-end autonomous-vehicle research knowledge base. Start with the root README for the shortest overview, then use this guide to choose a path through the stack.
| Need | Start |
|---|---|
| Understand the whole architecture | 90-synthesis/master/master-synthesis.md |
| Review fundamentals | 10-knowledge-base/ |
| Learn estimator first principles | 10-knowledge-base/probability-statistics/gaussian-noise-covariance-information.md |
| Learn machine-learning first principles | 10-knowledge-base/machine-learning/overview.md |
| Select hardware and sensors | 20-av-platform/ |
| Study autonomy methods | 30-autonomy-stack/ |
| Study LiDAR artifact/removal techniques | 30-autonomy-stack/perception/overview/lidar-artifact-removal-techniques.md |
| Study dynamic/static object removal | 30-autonomy-stack/localization-mapping/slam-methods/lidar-map-cleaning-dynamic-removal.md |
| Segment an aggregated LiDAR map (offline, map-scale) | 30-autonomy-stack/perception/overview/aggregated-map-semantic-segmentation.md |
| Deploy on vehicle | 40-runtime-systems/ |
| Build fleet and cloud systems | 50-cloud-fleet/ |
| Build the safety case | 60-safety-validation/ |
| Study operating domains | 70-operations-domains/ |
| Compare companies and markets | 80-industry-intel/ |
| Continue gap-filling research | 90-synthesis/readiness-risk/continuous-research-loop.md |
Diagnostic Entry Points
| Need | Start | Use When |
|---|---|---|
| Solver diagnostics for calibration, SLAM, maps, and planning | Nonlinear Solver Diagnostics Crosswalk | Use when residuals, Jacobians, scaling, damping, rank, covariance, or backend choices may be the failure source. |
Reading Order
- Read the root
README.md. - Use
00-start-here/repo-map.mdto understand the directory tree. - Use
INDEX.mdwhen searching for a specific topic. - Open the relevant stack layer.
- For method-heavy areas, read overview pages before individual method pages.