Cerdas Inovasi DigitalSoftware Developer ~ Custom ServicesTraining ~ Established since 1995

Memuat

Course on Autonomous Vehicle Control for Path Tracking Based on Model Predictive Control

Build autonomous car following a path with Model Predictive Control: bicycle model, path cubic spline, pure pursuit and Stanley comparators, linearization & formulation of MPC as quadratic program, implementation of CVXPY + OSQP, animation, up to test on a winding circuit.

✅ 6 Video + PDF🐍 Python & CVXPY🎓 Suitable for Thesis & Dissertation🔒 Customer-Specific Dataset & Project Files

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 1

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 2

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 3

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 4

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 5

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 6

Autonomous Vehicle MPC Course, kurikulum dan hasil tiap modul, gambar 7

1 / 7

Geser untuk melihat kurikulum dan hasil setiap modul.

Lihat Paket & Daftar Kursus Tonton Modul 1 Gratis

9,7×

MPC is more accurate than pure pursuit at 5 m/s

±10 ms

Time per quadratic program step

3 speeds

Circuit testing at 5, 10, and 15 m/s

1,1 cm

RMS MPC Error at S Bend

Apa yang Akan Kamu Pelajari?

Six sequential modules following the research flow of a real autonomous vehicle, each module produces working code and ready-to-use graphs for reports.

🚗

Bicycle Model

Kinematic model with steering limits and RK4.

🛣️

Reference Path

Cubic spline, curvature, lateral error, and simulation.

Pure Pursuit & Stanley

Two geometric controllers as a comparison.

MPC Formulation

Linearization, horizon, cost function, and steering constraints.

CVXPY & Animation

Receding horizon with OSQP and vehicle animation.

🏁

Circuit Testing

Winding path, variable speed, and error evaluation.

Kurikulum: 6 Modul Video

Video 7–14 minutes per modul, lengkap dengan PDF panduan. Modul 1 bisa ditonton gratis.

Siapa yang Cocok Mengikuti?

S1/S2 Students (skripsi & tesis)

Complete autonomous vehicle research framework: benchmark methods, proposed methods, experiments, and evaluation ready for chapter 4.

Researchers & lecturers

Neat Python & CVXPY code easily replaceable for data, parameters, or methods for publication.

Practitioners & engineers

Understand how autonomous vehicles work from theory to implementable code that you can try yourself.

Developers & data scientists

Practice Python & CVXPY on real case studies, not just toy examples.

Butuh Pendampingan Autonomous Vehicle Research?

Kami membantu implementasi model, eksperimen, evaluasi, dan penulisan hasil untuk skripsi, tesis, maupun publikasi.

Lihat Jasa Autonomous Vehicle Research

Pertanyaan Umum

Is it suitable for thesis or dissertation?+

Yes. The workflow follows real research: comparative method, proposed method, experiment, evaluation, and analysis results that can directly become the framework for chapter 3 and chapter 4.

What data is used?+

Self-generated path and vehicle model (without dataset). Data used is included in the project file so results can be reproduced.

Are source code and dataset available?+

Yes. Premium Class subscribers and class buyers receive a zip file containing the dataset and all source code from the six modules, downloadable via a secure link from the class page.

What are the prerequisites?+

Python Basics, Python 3.10+, and VS Code. Libraries used: numpy, scipy, cvxpy, matplotlib.

Is there a free module?+

Yes. Module 1 can be watched for free on the class page; subsequent modules are for Premium Class subscribers or class buyers.

Is there support for my research?+

Yes, live online classes and research support services for autonomous vehicle projects for thesis, dissertation, or publication are available.

Mulai Autonomous Vehicle Research Anda

Konsultasikan topik penelitian Anda, kami bantu pilihkan paket belajar yang paling sesuai.

Konsultasi Gratis