In the second part of our Unreal Engine AI Vehicle tutorial series, we delve into the implementation of the A* algorithm for obstacle detection and avoidance. This tutorial will guide you through detecting obstacles, mapping them with a grid, and creating new paths for the AI vehicle when it encounters obstacles.
Playlist:    • Vehicle AI Unreal Engine  
A* Algorithm Plugin: https://drive.google.com/file/d/1bEcp...
Project Download:   / project-file-ai-105811761  

While Unreal Engine’s default Nav Mesh system is powerful and suitable for many standard AI navigation scenarios, this custom approach offers significant advantages for the vehicle:
-Customization: Tailoring obstacle detection and path creation to specific needs.
-Dynamic Adaptability: Mimicking human-like decision-making, where awareness of the entire environment isn't assumed, can lead to more dynamic and realistic AI behavior.
-Optimization: Efficient updates and selective tracing enhance performance in large-scale or real-time generated environments.

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Chapters:
Intro: (0:00)
Add A* Algorithm: (0:44)
Detect Obstacle: (9:23)
Map Obstacle with Grid: (18:52)
Debug Array's Index: (43:08)
Find Start Point: (49:25)
Find Goal Point: (55:10)
Create New Spline: (1:05:00)
Vehicle Arrived at Goal Point: (1:16:38)
Overlap Obstacle Detection: (1:23:40)
Goal Point can't reach: (1:32:05)
Result: (1:39:04)