A tutorial on vehicle steering, path following control, planning, and localisation.
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Updated
Sep 26, 2022 - Jupyter Notebook
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kinematic-bicycle-model
Here are 4 public repositories matching this topic...
Hands-on implementations of fundamental self-driving car concepts: stereo depth, LiDAR plane fitting, occupancy grid mapping, Extended Kalman Filter, vehicle models, mission planning, and parameter estimation.
least-squares self-driving-car stereo kalman-filter occupancy-grid-map a-star-algorithm mission-planning kinematic-bicycle-model dijaskstra-s longitudinal-vehicle-model
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Sep 1, 2025 - Jupyter Notebook
Car Simulator ---Under development---
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Jan 4, 2026 - C
🚗 Explore essential concepts in self-driving cars through hands-on projects in perception, mapping, localization, and control using Python and Jupyter Notebooks.
least-squares self-driving-car stereo kalman-filter occupancy-grid-map mission-planning kinematic-bicycle-model longitudinal-vehicle-model
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Updated
Jan 5, 2026 - Jupyter Notebook
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