Crates.io | bsp-pathfinding |
lib.rs | bsp-pathfinding |
version | 0.3.2 |
source | src |
created_at | 2022-02-03 08:49:07.529637 |
updated_at | 2022-02-09 13:47:44.966624 |
description | Runtime path finding using Binary Spatial Partitioning |
homepage | |
repository | https://github.com/ten3roberts/bsp-pathfinding |
max_upload_size | |
id | 526112 |
size | 81,710 |
Provides a path finding search space generation and A* search algorithm using Binary Spatial Partitioning.
The navigable space is defined by polygons delimiting the space. A graph of navigable nodes and edges will be generated.
The algorithm does not impose any constraints on size or angle of the scene as is the case for grid or quadtree based approaches.
use bsp_pathfinding::*;
use glam::*;
// Define a simple scene
let square = Shape::rect(Vec2::new(50.0, 50.0), Vec2::new(0.0, 0.0));
let left = Shape::rect(Vec2::new(10.0, 200.0), Vec2::new(-200.0, 10.0));
let right = Shape::rect(Vec2::new(10.0, 200.0), Vec2::new(200.0, 10.0));
let bottom = Shape::rect(Vec2::new(200.0, 10.0), Vec2::new(10.0, -200.0));
let top = Shape::rect(Vec2::new(200.0, 10.0), Vec2::new(10.0, 200.0));
// Create navigational context from the scene
let nav = NavigationContext::new([square, left, right, top, bottom].iter().flatten());
// Find a path
let start = Vec2::new(-100.0, 0.0);
let end = Vec2::new(100.0, 30.0);
let path = nav
.find_path(start, end, heuristics::euclidiean, SearchInfo::default())
.expect("Failed to find a path");