A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laser-based detection and tracking of multiple people in crowds
Computer Vision and Image Understanding
Moving object detection with laser scanners
Journal of Field Robotics
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection
International Journal of Robotics Research
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The approach investigated in this work employs three-dimensional LADAR measurement to detect and track pedestrians over time. The sensor is employed on a moving vehicle. The algorithm quickly detects the objects which have the potential of being humans using a subset of these points, and then classifies each object using statistical pattern recognition techniques. The algorithm uses geometric and motion features to recognize human signatures. The perceptual capabilities described form the basis for safe and robust navigation in autonomous vehicles, necessary to safeguard pedestrians operating in the vicinity of a moving robotic vehicle.