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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.

NeedStart
Understand the whole architecture90-synthesis/master/master-synthesis.md
Review fundamentals10-knowledge-base/
Learn estimator first principles10-knowledge-base/probability-statistics/gaussian-noise-covariance-information.md
Learn machine-learning first principles10-knowledge-base/machine-learning/overview.md
Select hardware and sensors20-av-platform/
Study autonomy methods30-autonomy-stack/
Study LiDAR artifact/removal techniques30-autonomy-stack/perception/overview/lidar-artifact-removal-techniques.md
Study dynamic/static object removal30-autonomy-stack/localization-mapping/slam-methods/lidar-map-cleaning-dynamic-removal.md
Deploy on vehicle40-runtime-systems/
Build fleet and cloud systems50-cloud-fleet/
Build the safety case60-safety-validation/
Study operating domains70-operations-domains/
Compare companies and markets80-industry-intel/
Continue gap-filling research90-synthesis/readiness-risk/continuous-research-loop.md

Diagnostic Entry Points

NeedStartUse When
Solver diagnostics for calibration, SLAM, maps, and planningNonlinear Solver Diagnostics CrosswalkUse when residuals, Jacobians, scaling, damping, rank, covariance, or backend choices may be the failure source.

Reading Order

  1. Read the root README.md.
  2. Use 00-start-here/repo-map.md to understand the directory tree.
  3. Use INDEX.md when searching for a specific topic.
  4. Open the relevant stack layer.
  5. For method-heavy areas, read overview pages before individual method pages.

Public research notes collected from public sources.