added simple downsampling node, todo: expose params

This commit is contained in:
2025-09-22 23:14:58 +02:00
commit 6190292efa
4 changed files with 1078 additions and 0 deletions

162
src/main.rs Normal file
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use byteorder::{LittleEndian, BigEndian, ByteOrder};
use futures::{executor::LocalPool, future, stream::StreamExt, task::LocalSpawnExt};
use itertools::Itertools;
use r2r;
use r2r::sensor_msgs::msg::{PointField, PointCloud2};
use std::f32::consts::PI;
use std::ops::{Add, Sub};
use std::time::{Duration, Instant};
trait Downsample {
fn downsample(self) -> Self;
}
impl Downsample for PointCloud2 {
fn downsample(self) -> Self {
let data: Vec<u8> = self.data
.chunks_exact(self.point_step as usize)
.map(|chunk| PointF32::from_bytes(chunk))
.filter(|point| point.is_valid())
.tuple_windows::<(_, _, _)>()
.filter(|(last, current, next)| {
let v1: VectorF32 = last.vec_to(current);
let v2: VectorF32 = current.vec_to(next);
let angle_deg: f32 = (v1.dot(&v2).abs() / (v1.abs() * v2.abs())).acos() * 180f32 / PI;
angle_deg > 30f32
})
.flat_map(|(_, point, _)| point.to_bytes_vec())
.collect();
PointCloud2 {
header: self.header,
height: 1,
width: data.len() as u32 / 16,
fields: vec![
PointField { name: "x".to_string(), offset: 0, datatype: 7, count: 1 },
PointField { name: "y".to_string(), offset: 4, datatype: 7, count: 1 },
PointField { name: "z".to_string(), offset: 8, datatype: 7, count: 1 },
PointField { name: "intensity".to_string(), offset: 12, datatype: 7, count: 1 },
],
is_bigendian: false,
point_step: 16,
row_step: 16,
data,
is_dense: true,
}
}
}
#[derive(Debug, Clone, Copy)]
struct VectorF32 {
x: f32,
y: f32,
z: f32,
}
#[derive(Debug, Clone, Copy)]
struct PointF32 {
position: VectorF32,
intensity: f32,
}
impl PointF32 {
fn from_bytes(chunk: &[u8]) -> Self {
Self {
position: VectorF32 {
x: LittleEndian::read_f32(&chunk[0..4]),
y: LittleEndian::read_f32(&chunk[4..8]),
z: LittleEndian::read_f32(&chunk[8..12]),
},
intensity: LittleEndian::read_f32(&chunk[12..16]),
}
}
fn to_bytes_vec(&self) -> Vec<u8> {
let mut buf = [0u8; 16];
buf[0..4].copy_from_slice(&self.position.x.to_le_bytes());
buf[4..8].copy_from_slice(&self.position.y.to_le_bytes());
buf[8..12].copy_from_slice(&self.position.z.to_le_bytes());
buf[12..16].copy_from_slice(&self.intensity.to_le_bytes());
buf.to_vec()
}
fn is_valid(&self) -> bool {
self.position.is_valid() && !self.intensity.is_nan()
}
fn vec_to(&self, target: &Self) -> VectorF32 {
target.position - self.position
}
}
impl VectorF32 {
fn is_valid(&self) -> bool {
!(self.x.is_nan() || self.y.is_nan() || self.z.is_nan())
}
fn abs(&self) -> f32 {
(self.x.powi(2) + self.y.powi(2) + self.z.powi(2)).sqrt()
}
fn dot(&self, rhs: &Self) -> f32 {
(self.x * rhs.x) + (self.y * rhs.y) + (self.z * rhs.z)
}
}
impl Add for VectorF32 {
type Output = Self;
fn add(self, rhs: Self) -> Self::Output {
Self::Output {
x: self.x + rhs.x,
y: self.y + rhs.y,
z: self.z + rhs.z,
}
}
}
impl Sub for VectorF32 {
type Output = Self;
fn sub(self, rhs: Self) -> Self::Output {
Self::Output {
x: self.x - rhs.x,
y: self.y - rhs.y,
z: self.z - rhs.z,
}
}
}
fn main() {
let ctx = r2r::Context::create().unwrap();
let mut node = r2r::Node::create(ctx, "pointcloud_downsampling_node", "").unwrap();
let subscriber = node.subscribe::<PointCloud2>("/velodyne_points", r2r::QosProfile::default()).unwrap();
let publisher = node.create_publisher::<PointCloud2>("/filtered_points", r2r::QosProfile::default()).unwrap();
// Set up a simple task executor.
let mut pool = LocalPool::new();
let spawner = pool.spawner();
spawner.spawn_local(async move {
subscriber
.for_each(|msg| {
let start = Instant::now();
let downsampled = msg.downsample();
println!("Duration: {} ms", start.elapsed().as_millis());
publisher.publish(&downsampled);
future::ready(())
})
.await
}).unwrap();
loop {
node.spin_once(Duration::from_millis(10));
pool.run_until_stalled();
}
}