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Annotation/AutoGT Signatures (Signature Dimensions (Data Sources (Cuboid,…
Annotation/AutoGT Signatures
Signature Dimensions
Temporal Domain
Granularity
Aggregation Method
Stacked
Embedded
weighting
Flat aggregation
Vectors
Track aggregation
Curvatures
Spacial Domain
Band based aggregation
Near
Medium
Far
weighting
Thresholding
Cutoff distance
Aggregation Level
Individual Track
Aggregated tracks
Aggregation Scope
Individual Class
Multi Class
Ego-Motion compensation
Without EMC
Aggregation of relative measures
With EMC
Aggregation of absolute measures
Velocity aggregation
Crowdednes Domain
Histogram over class based object count
Data Sources
Cuboid
Semantic Segmentation
Radar
class mapping
Use Cases
Identifying maneuvers
Bike takes a left
Motorbike is overtaking
Passing a bus on a bus station
Overtaking a truck on the highway
Identifying all scenes with dangerous distances given speed
Scenes with overall similar movement patterns
Clustering of scenarios
Can be used for overall redundancy reduction
Identification of traffic scenarios
roundabouts
road crossings
passenger crossings
Evaluation of algorithms
Searching for clusters in signature space correlated to algo fail conditions
Dataset generation support
Signature Proposals
Radar Focus Signature
Derived from
Projected Speed
Yaw Rate relative to Ego Vehicle
Distance to Ego Vehicle
Class based signature
Motivation
Motion Track Signature
Derived from
Object Motion Tracks in Object Coordinate System
Class based signature
Scene Composition Signature
Derived from
Object class distribution
Crowdedness
Object Motion Profiles
Object Locations relative to Ego Vehicle
Scene based signature / Multi-Class