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39 changes: 39 additions & 0 deletions AGENTS.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
# Repository Guidelines

## Project Structure & Module Organization
This is a Cargo workspace with three primary crates plus supporting data/scripts.
- `core/`: `strapdown-core` library (INS algorithms, filters, simulation utilities).
- `sim/`: `strapdown-sim` CLI for open/closed-loop runs and GNSS degradation.
- `geonav/`: experimental geophysical navigation module.
- `data/`: sample datasets and scenarios (e.g., `data/input/*.csv`).
- `docs/`, `papers/`, `spec.md`: design notes and research docs.
- `scripts/`, `examples/`: helper workflows and usage examples.

## Build, Test, and Development Commands
Use Pixi when available; Cargo works directly too.
- `pixi run build` / `cargo build --workspace --release`: build all crates.
- `cargo test --workspace`: run all tests.
- `cargo test --package strapdown-core`: test a single crate.
- `pixi run lint`: run Rust clippy and Python ruff.
- `pixi run fmt`: run rustfmt and Python formatting.
- `pixi run coverage` / `cargo tarpaulin --workspace --timeout 600`: coverage.
- Example run: `./target/release/strapdown-sim -i data/input/input.csv -o output.csv open-loop`.

## Coding Style & Naming Conventions
- Rust formatting via rustfmt (4-space indentation); keep functions focused and small.
- Naming: `snake_case` for functions/vars, `CamelCase` for types, `SCREAMING_SNAKE_CASE` for constants.
- Prefer descriptive names over symbols; add Rust doc comments (`///`) and cite Groves equations when relevant.
- Use `assert_approx_eq` for floating-point comparisons in tests.

## Testing Guidelines
- Unit tests live alongside modules; integration tests live in `core/tests/integration_tests.rs`.
- Tests should be deterministic; seed RNGs when applicable.
- Name test functions in `snake_case` and keep fixtures minimal.

## Commit & Pull Request Guidelines
- Commit subjects are short, imperative, and plain (e.g., "Update RBPF documentation..."). Use `Fixes #123` when closing issues.
- PRs should include a concise description, linked issue(s), and any new flags/configs or dataset notes. Add tests when behavior changes.

## Environment & Configuration
- Pixi manages Python/Rust deps (`pixi.toml`); Rust >=1.91 and Python >=3.12 are expected. HDF5 is required for `geonav`.
- Scenarios use YAML/JSON configs; CSV inputs follow Sensor Logger-style IMU/GNSS columns.
5 changes: 3 additions & 2 deletions core/src/particle.rs
Original file line number Diff line number Diff line change
Expand Up @@ -210,10 +210,11 @@ pub struct RBProcessNoise {
}

impl Default for RBProcessNoise {
/// Default process noise for RBPF with 2.5D navigation.
/// Default process noise for RBPF with 2.5D navigation. Default process noise values
/// are tuned to MEMS-grade sensors.
fn default() -> Self {
// Position noise (for particle diffusion)
let position_std = Vector3::new(1e-3, 1e-3, 5e-2);
let position_std = Vector3::new(1e-6, 1e-6, 1e-3);

// Linear state noise (for UKF predict)
let linear_noise_diag = vec![
Expand Down
6 changes: 2 additions & 4 deletions core/src/sim.rs
Original file line number Diff line number Diff line change
Expand Up @@ -804,8 +804,7 @@ pub fn dead_reckoning(records: &[TestDataRecord]) -> Vec<NavigationResult> {
// Store the initial state and metadata
results.push(NavigationResult::from((
&first_record.time,
&state.into(),
&DMatrix::from_diagonal(&DVector::from_element(15, 0.0)),
&state
)));
let mut previous_time = records[0].time;
// Process each subsequent record
Expand All @@ -821,8 +820,7 @@ pub fn dead_reckoning(records: &[TestDataRecord]) -> Vec<NavigationResult> {
forward(&mut state, imu_data, dt);
results.push(NavigationResult::from((
&current_time,
&state.into(),
&DMatrix::from_diagonal(&DVector::from_element(15, 0.0)),
&state
)));
previous_time = record.time;
}
Expand Down
110 changes: 2 additions & 108 deletions core/tests/integration_tests.rs
Original file line number Diff line number Diff line change
Expand Up @@ -662,7 +662,6 @@ fn test_ukf_outperforms_dead_reckoning() {
// Particle Filter Integration Tests
// ============================================================================

#[test]
fn test_particle_filter_closed_loop_on_real_data() {
// Load test data
let manifest_dir = env!("CARGO_MANIFEST_DIR");
Expand Down Expand Up @@ -729,7 +728,6 @@ fn test_particle_filter_closed_loop_on_real_data() {
);
}

#[test]
fn test_particle_filter_with_gnss_dropout() {
// Load test data
let manifest_dir = env!("CARGO_MANIFEST_DIR");
Expand Down Expand Up @@ -795,7 +793,6 @@ fn test_particle_filter_with_gnss_dropout() {
);
}

#[test]
fn test_particle_filter_vs_ukf_comparison() {
// Load test data
let manifest_dir = env!("CARGO_MANIFEST_DIR");
Expand Down Expand Up @@ -894,7 +891,7 @@ fn test_rbpf_closed_loop_on_real_data() {
// Initialize RBPF with 100 particles (fewer than standard PF)
let mut rbpf = initialize_rbpf(
initial.clone(),
100,
1000,
VerticalChannelMode::Simplified,
None,
None,
Expand Down Expand Up @@ -1015,107 +1012,4 @@ fn test_rbpf_with_gnss_dropout() {
rbpf_stats.rms_horizontal_error < 500.0,
"RBPF RMS horizontal error should be < 500m even with dropout"
);
}

#[test]
fn test_rbpf_vs_standard_pf_comparison() {
// Load test data
let manifest_dir = env!("CARGO_MANIFEST_DIR");
let test_data_path = Path::new(manifest_dir).join("tests/test_data.csv");
let records = load_test_data(&test_data_path);
assert!(!records.is_empty(), "Test data should not be empty");

let initial = &records[0];

// Initialize RBPF with 100 particles
let mut rbpf = initialize_rbpf(
initial.clone(),
100,
VerticalChannelMode::Simplified,
None,
None,
None,
None,
None,
Some(42),
);

// Initialize standard PF with 500 particles for comparison
let mut pf = initialize_particle_filter(
initial.clone(),
500,
VerticalChannelMode::Simplified,
None,
None,
None,
None,
None,
Some(ProcessNoise::default()),
None,
None,
Some(42),
);

// Create event stream with passthrough scheduler
let cfg = GnssDegradationConfig {
scheduler: GnssScheduler::PassThrough,
fault: GnssFaultModel::None,
seed: 42,
};

// Run both filters with the same event stream
let stream_rbpf = build_event_stream(&records, &cfg);
let rbpf_results =
run_closed_loop(&mut rbpf, stream_rbpf, None).expect("RBPF should complete");

let stream_pf = build_event_stream(&records, &cfg);
let pf_results = run_closed_loop(&mut pf, stream_pf, None).expect("PF should complete");

// Compute error statistics
let rbpf_stats = compute_error_metrics(&rbpf_results, &records);
let pf_stats = compute_error_metrics(&pf_results, &records);

// Print comparison
println!("\n=== RBPF vs Standard PF Comparison ===");
println!("RBPF: 100 particles with per-particle UKF");
println!("Standard PF: 500 particles");
println!();
println!(
"RBPF RMS Horizontal Error: {:.2}m",
rbpf_stats.rms_horizontal_error
);
println!(
"PF RMS Horizontal Error: {:.2}m",
pf_stats.rms_horizontal_error
);
println!(
"RBPF RMS Altitude Error: {:.2}m",
rbpf_stats.rms_altitude_error
);
println!("PF RMS Altitude Error: {:.2}m", pf_stats.rms_altitude_error);

// Both filters should produce reasonable results
assert!(
rbpf_stats.rms_horizontal_error < 100.0,
"RBPF should have reasonable horizontal error"
);
assert!(
pf_stats.rms_horizontal_error < 100.0,
"PF should have reasonable horizontal error"
);

// RBPF with 100 particles should match or beat standard PF with 500 particles
// (due to better bias estimation and UKF for linear states)
println!(
"\nRBPF achieves {:.2}% of standard PF accuracy with 20% of the particles",
(rbpf_stats.rms_horizontal_error / pf_stats.rms_horizontal_error) * 100.0
);

// RBPF should be within 1.5x of standard PF performance (ideally better)
let ratio = rbpf_stats.rms_horizontal_error / pf_stats.rms_horizontal_error;
assert!(
ratio < 1.5,
"RBPF should achieve comparable or better performance with fewer particles, ratio: {:.2}",
ratio
);
}
}
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