pub struct NdtConfig {
pub max_iterations: usize,
pub resolution: f32,
pub epsilon: f64,
pub min_points_per_voxel: usize,
pub transformation_epsilon: f64,
pub fitness_epsilon: f64,
pub min_correspondences: usize,
pub initial_guess: Isometry3<f32>,
}Expand description
Configuration for NDT (Normal Distributions Transform) registration.
The target cloud is discretized into a voxel grid; each cell with enough points becomes a Gaussian (mean + covariance). The source is aligned by minimizing the Mahalanobis distance of each transformed point to its target cell distribution via Gauss-Newton (point-to-distribution NDT).
Fields§
§max_iterations: usizeMaximum number of optimization iterations.
resolution: f32Voxel size used to build the target distributions.
epsilon: f64Planar regularization: smallest eigenvalue floor as a fraction of the largest.
min_points_per_voxel: usizeMinimum points required for a target voxel to form a distribution.
transformation_epsilon: f64Stop when the transform update is smaller than this threshold.
fitness_epsilon: f64Stop when the fitness is smaller than this threshold.
min_correspondences: usizeMinimum number of matched points required per iteration.
initial_guess: Isometry3<f32>Initial transform guess mapping source into target frame.
Implementations§
Trait Implementations§
impl Copy for NdtConfig
impl StructuralPartialEq for NdtConfig
Auto Trait Implementations§
impl Freeze for NdtConfig
impl RefUnwindSafe for NdtConfig
impl Send for NdtConfig
impl Sync for NdtConfig
impl Unpin for NdtConfig
impl UnsafeUnpin for NdtConfig
impl UnwindSafe for NdtConfig
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