NU-AIR - A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles.
Craig IaboniThomas KellyPramod AbichandaniPublished in: CoRR (2023)
Keyphrases
- object detection
- man made
- urban areas
- vehicle tracking
- vehicle detection
- lidar data
- detection method
- aerial imagery
- urban traffic
- public transport
- urban environments
- object recognition
- activity detection
- crowded scenes
- traffic congestion
- false positives
- false alarms
- transportation networks
- detection rate
- benchmark datasets
- computer vision
- reliable detection
- accurate localization
- detection algorithm
- traffic flow
- pedestrian detection
- background subtraction
- road traffic
- detecting objects