Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
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Updated
Jan 13, 2024 - Python
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
25 path-tracking algorithms are (going to be) implemented with python.
Motion Control of Self-Driving Car for Trajectory Tracking
Ackermann steering line follower robot simulation.
Lateral and longitudinal controller for vehicle using stanley controller
Stanley is a bot that recognizes images and states the contents of the images.
This project implements a nonlinear kinematic bicycle model for vehicle motion and evaluates multiple trajectory tracking controllers, including PID, Pure Pursuit, Stanley, MPC, and Nonlinear MPC. The controllers are developed in C++ and compared in terms of tracking accuracy, stability, and control effort across different paths, and speeds.
The Morgan Stanley dashboard project displays general financial information using annual financial statements as a reference point.
NHL Visual-on of Cup of Stanley View
Modular trajectory tracking controller for CARLA + ROS 2 — benchmarks LQR, MPC, Stanley, Pure Pursuit, and PD lateral controllers with 2D-calibrated PID longitudinal control.
Automate After Effects animation pipelines, bulk layer management, and rendering processes with this motion graphics scripting framework.
基于 Stanley 表达框架的 AI Agent 创作技能库,涵盖表达 DNA 与 10 种话语模式
Parametric SwitchBot Lock Ultra adapter for dormakaba / STANLEY QCI200 commercial interconnected locks
User Manuals, Instruction Sheets and Guides
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