l6objects

type ClassificationFeatures struct {
	// Spatial features
	AvgHeight float32 // Average bounding box height
	AvgLength float32 // Average bounding box length
	AvgWidth  float32 // Average bounding box width
	HeightP95 float32 // Maximum P95 height

	// Kinematic features
	AvgSpeed float32 // Average speed
	MaxSpeed float32 // Max speed
	P50Speed float32 // Median speed
	P85Speed float32 // 85th percentile speed
	P95Speed float32 // 95th percentile speed

	// Temporal features
	ObservationCount int
	DurationSecs     float32
}

type ClassificationResult struct {
	Class      ObjectClass
	Confidence float32
	Model      string // Model version used
	Features   ClassificationFeatures
}

type ClusterFeatures struct {
	PointCount     int
	BBoxLength     float32
	BBoxWidth      float32
	BBoxHeight     float32
	HeightP95      float32
	IntensityMean  float32
	IntensityStd   float32
	Elongation     float32 // length / width (clamped to avoid Inf)
	Compactness    float32 // points / bbox_volume (clamped)
	VerticalSpread float32 // std-dev of Z
}

type NoiseCoverageMetrics struct {
	TotalTracks         int                `json:"total_tracks"`
	TracksWithHighNoise int                `json:"tracks_with_high_noise"`       // noise_ratio > 0.3
	TracksUnknownClass  int                `json:"tracks_unknown_class"`         // object_class == "dynamic"
	TracksLowConfidence int                `json:"tracks_low_confidence"`        // object_confidence < 0.6
	UnknownRatioBySpeed map[string]float32 `json:"unknown_ratio_by_speed"`       // "slow"/"medium"/"fast"
	UnknownRatioBySize  map[string]float32 `json:"unknown_ratio_by_size"`        // "small"/"medium"/"large"
	NoiseRatioHistogram []int              `json:"noise_ratio_histogram_counts"` // Counts for bins [0-0.1, 0.1-0.2, ...]
}

type ObjectClass string

type OrientedBoundingBox = l4perception.OrientedBoundingBox

type RunComparison = l8analytics.RunComparison

type RunStatistics = l8analytics.RunStatistics

type TrackClassifier struct {
	ModelVersion    string
	MinObservations int // Minimum observations before classification
}

type TrackFeatures struct {
	ClusterFeatures // latest observation features

	// Kinematic features
	AvgSpeedMps       float32
	MaxSpeedMps       float32
	SpeedVariance     float32
	TrackDurationSecs float32
	TrackLengthMeters float32
	HeadingVariance   float32
	OcclusionRatio    float32

	// Speed percentiles
	SpeedP50 float32
	SpeedP85 float32
	SpeedP95 float32
}

type TrackMatch = l8analytics.TrackMatch

type TrackMerge = l8analytics.TrackMerge

type TrackPoint = l5tracks.TrackPoint

type TrackQualityMetrics struct {
	TrackID            string  `json:"track_id"`
	TrackLengthMeters  float32 `json:"track_length_meters"`
	TrackDurationSecs  float32 `json:"track_duration_secs"`
	OcclusionCount     int     `json:"occlusion_count"`
	MaxOcclusionFrames int     `json:"max_occlusion_frames"`
	SpatialCoverage    float32 `json:"spatial_coverage"`
	NoisePointRatio    float32 `json:"noise_point_ratio"`
	QualityScore       float32 `json:"quality_score"` // Composite quality metric (0-1)
}

type TrackSplit = l8analytics.TrackSplit

type TrackState = l5tracks.TrackState

type TrackTrainingFilter struct {
	MinQualityScore   float32      // Minimum composite quality score (0-1)
	MinDuration       float32      // Minimum track duration (seconds)
	MinLength         float32      // Minimum track length (meters)
	MaxOcclusionRatio float32      // Maximum occlusion ratio (occlusions / observations)
	MinObservations   int          // Minimum observation count
	RequireClass      bool         // Only include tracks with assigned class
	AllowedStates     []TrackState // Allowed track states (e.g., only confirmed)
}

type TrackedObject = l5tracks.TrackedObject

type TrainingDatasetSummary struct {
	TotalTracks       int            `json:"total_tracks"`
	TotalFrames       int            `json:"total_frames"`
	TotalPoints       int            `json:"total_points"`
	ClassDistribution map[string]int `json:"class_distribution"`
	AvgQualityScore   float32        `json:"avg_quality_score"`
	AvgDuration       float32        `json:"avg_duration_secs"`
	AvgLength         float32        `json:"avg_length_meters"`
}

type WorldCluster = l4perception.WorldCluster

type WorldPoint = l4perception.WorldPoint