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Unreal Engine AI Vehicle Tutorial 2: Avoiding Obstacle System

jourverse
9.71K subscribers
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7.2K views 11 months ago
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   Get the full system on the Fab Marketplace: https://fab.com/s/4854a17c11da 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 rea …...more
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Unreal Engine AI Vehicle Tutorial 2: Avoiding Obstacle System
237Likes
7,207Views
Jun 122024
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   Get the full system on the Fab Marketplace: https://fab.com/s/4854a17c11da 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. If you enjoyed this video, please give it a thumbs up and leave a comment below. Don’t forget to subscribe to my channel for more Unreal Engine tutorials. Thanks for watching! 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)

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jourverse

9.71K subscribers