Skripsi

RANCANG BANGUN SISTEM PENCARIAN RUTE DAN PENGHINDAR HALANGAN STATIS BERBASIS HIBRID IMPROVED ARTIFICIAL POTENTIAL FIELDS (IAPF) -YOLO V8 PADA AUTONOMOUS VEHICLE DI KAMPUS UNSRI INDRALAYA

---

Penilaian

---

This study designed an Android application based on a hybrid Artificial Potential Field (APF) and YOLOv8 algorithm for autonomous vehicle navigation at UNSRI Indralaya Campus. APF was used to calculate the optimal route from GPS coordinates, while YOLOv8 detected static obstacles in real time. Data were transmitted via ROS and displayed in the Android application. Test results showed that Improved APF achieved an average error of 2.26%, lower than the traditional APF with 3.14%. YOLOv8 successfully detected static objects such as cars, motorcycles, pedestrians, and roadblocks. Live tracking reached 90% accuracy without obstacles and 70% with obstacles. Robot trials demonstrated that the vehicle could follow the route but failed when too many obstacles were present. Overall, the hybrid APF–YOLOv8 system proved capable of finding optimal routes, detecting obstacles, and displaying vehicle movement in real time.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507006127	T185216	T1852162025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1852162025

Publisher

Indralaya : Prodi Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xi, 185 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

005.430 7

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

-

Subject(s)

Aplikasi Android
Prodi Teknik Elektro

Specific Detail Info

-

Statement of Responsibility

MI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment